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Hadoop Big Data Analytics Market will projected to reach $40.69 Billion by 2021

According to new market research report on"Hadoop Big Data Analytics Market by Component (Solution, Service), Application (Risk & Fraud Analytics, IoT, Merchandizing & SCM, Customer Analytics, Offloading Mainframe, Security Intelligence), Vertical, and Region - Global Forecast to 2021", The Hadoop big data analytics market is projected to grow from USD 6.71 Billion in 2016 to USD 40.69 Billion by 2021, at a CAGR of 43.4% between 2016 and 2021.

Browse and in-depth TOC on “Hadoop Big Data Analytics Market”

69 - Tables

42 - Figures

150 - Pages  

               “Hadoop Big Data Analytics Market by Component (Solution, Service), Application (Risk & Fraud Analytics, IoT, Merchandizing & SCM, Customer Analytics, Offloading Mainframe, Security Intelligence), Vertical, and Region - Global Forecast to 2021"

Ask For PDF Broucher @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=766

The market is primarily driven by increasing demand for deployment of Hadoop big data analytics solutions for analyzing exponentially growing structured and unstructured data to obtain actionable insights from it. Moreover, the increased need for conversion of information gathered by big data and Internet of Things (IoT) for decision-making by organizations has fueled the demand for Hadoop big data analytics solutions, thereby leading towards the growth of the Hadoop big data analytics market during the forecast period.

“Among components, the solution segment is projected to lead the Hadoop big data analytics market during the forecast period.”

Based on component, the Hadoop big data analytics market has been segmented into solution and service. The solution segment is projected to lead the Hadoop big data analytics market between 2016 and 2021. Increasing demand for cost-effective and highly scalable solutions provided by Hadoop to handle extremely large data sets on distributed computing environment is fueling the growth of the solution segment of the Hadoop big data analytics market. The performance monitoring software solution subsegment of the component segment of the Hadoop big data analytics market is projected to grow at the highest CAGR during the forecast period due to increasing demand for data management on distributed computing platforms.

“The security intelligence application segment of the Hadoop big data analytics market is projected to grow at the highest CAGR during the forecast period, 2016 to 2021.”

The security intelligence application segment of the Hadoop big data analytics market is projected to grow at the highest CAGR during the forecast period due to growing need for enhanced visibility and protection of data through advanced analytics.

“Based on vertical, the BFSI segment is projected to lead the Hadoop big data analytics market during the forecast period.”

Based on vertical, the BFSI segment is projected to lead the Hadoop big data analytics market during the forecast period due to early adoption of Hadoop big data analytics solutions and services by varied organizations to acquire improved understanding of the requirements of their customers and update their services and solutions accordingly to cater these requirements.

Speak To Analyst @ https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=766

“The North American region is projected to lead the Hadoop big data analytics market during the forecast period.”

The Hadoop big data analytics market has been studied for North America, Asia-Pacific (APAC), Europe, the Middle East & Africa (MEA), and Latin America. The North American region is projected to lead the Hadoop big data analytics market between 2016 and 2021. In the North American region, amount of data generated by various organizations is increasing tremendously on daily basis. This growth of data has led to increased adoption of Hadoop big data analytics solutions in the BFSI and retail & consumer goods verticals of the North American region, thereby fueling the growth of the Hadoop big data analytics market in the region.

Microsoft Corporation (U.S.), Amazon Web Services (U.S.), IBM Corporation (U.S.), Teradata Corporation (U.S.), Tableau Software, Inc. (U.S.), Cloudera Inc. (U.S.), Pentaho Corporation (USA), Marklogic Corporation (U.S.), SAP SE (Germany), and Pivotal Software, Inc. (U.S.) among others are the key players operating in the Hadoop big data analytics market.

Contact: Mr. Rohan Markets and Markets  UNIT no 802, Tower no. 7, SEZ Magarpatta city, Hadapsar Pune, Maharashtra 411013, India 1-888-600-6441 Email: sales@marketsandmarkets.com

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Know the Latest Study of the Global Hadoop Big Data Analytics Market 2019 in the Industry with Prominent Players

The research report mainly introduced the global hadoop big data analytics market basics: a market overview, classifications, definitions, applications, and product specifications and so on. The global analytical report has been made by using significant data research methodologies such as primary and secondary research.

Download Exclusive Sample of this Premium Report at https://market.biz/report/global-hadoop-big-data-analytics-market-2017-mr/159503/#requestforsample

The report also targets important facets such as market drivers, challenges, latest trends, and opportunities associated with the growth of manufacturers in the global market for Hadoop Big Data Analytics. The report provides the readers with crucial insights on the strategies implemented by leading companies to remain in the lead of this competitive market.

Competitive landscape

Global Hadoop Big Data Analytics Market study covers a comprehensive competitive analysis that includes detailed company profiling of leading players, characteristics of the vendor landscape, and other important studies. Hadoop Big Data Analytics report explains how different players are competing in this report.

Hadoop Big Data Analytics Market Manufactures:

Sap Se

Pentaho Corporation

IBM Corporation

Datameer

Marklogic Corporation

Microsoft Corporation

Tableau Software

Pivotal Software

Hewlett-Packard Enterprise

Mongodb

Datasift

Cloudera

Qubole

MAPR Technologies

Memsql Inc

Amazon Web Services (

Market Segmentation

The global Hadoop Big Data Analytics market is segmented on the basis of the type of product, application, and region. The segmentation study equips interested parties to identify high-growth portions of the global Hadoop Big Data Analytics market and understand how the leading segments could grow during the forecast period.

Product Segment Analysis by Types

Risk & Fraud Analytics

Internet of Things

Customer Analytics

Security Intelligence

Distributed Coordination Service

Merchandising & Supply Chain Analytics

Operational Intelligence

Linguistic Analytics

Offloading Mainframe Application

Application of Hadoop Big Data Analytics Market are

BFSI

Government & Defense

Healthcare & Life Sciences

Manufacturing

Retail & Consumer Goods

Media & Entertainment

Energy & Utility

Trsportation & Scm

IT & Telecommunication

Following regions are analyzed in Hadoop Big Data Analytics at a provincial level

North America

Europe

China

Japan

The Middle East & Africa

India

South America

Inquire more about this report @ https://market.biz/report/global-hadoop-big-data-analytics-market-2017-mr/159503/#inquiry

The reports help to find the answers to the following questions:

• What is the present size of the Hadoop Big Data Analytics Market in the top 5 Global & American countries?

• How is the Hadoop Big Data Analytics market separated into various product segments & sub-segments?

• How is the market expected to grow in the future?

• What is the market potential compared to other countries?

• How are the overall Hadoop Big Data Analytics market and different product segments developing?

References

1. Global Aesthetic Lasers And Energy Devices Industry Market Research Report

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IBM produces and sells computer hardware, middleware and software, and provides hosting and consulting services in areas ranging from mainframe computers to nanotechnology. IBM is also a major research organization, holding the record for most U.S. patentsgenerated by a business (as of 2019) for 26 consecutive years.[5] Inventions by IBM include the automated teller machine (ATM), the floppy disk, the hard disk drive, the magnetic stripe card, the relational database, the SQL programming language, the UPC barcode, and dynamic random-access memory (DRAM). The IBM mainframe, exemplified by the System/360, was the dominant computing platform during the 1960s and 1970s.

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Global Hadoop Big Data Analytics Market

Global Hadoop Big Data Analytics Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts to 2030

The global hadoop big data analytics market size was valued at USD 12.9 billion in 2020 and is expected to reach USD 607.8 billion by 2030, growing at a CAGR of 47.0% during the forecast period. Hadoop is an open source, Java based framework used for storing and processing of big data. The massive amount of data is produced every day by businesses and users. Big data analytics uses advanced analytic techniques for examining these large data sets containing structured, semi-structured and unstructured data from different sources to underline insights and patterns. Hadoop is a highly scalable storage platform which also also offers a cost effective storage solution for businesses' exploding data sets. Moreover, hadoop enables businesses to easily access new data sources and tap into different types of data with fault tolerance. Data can be in different sizes from terabytes to zettabytes. Hadoop big data analytics helps organizations harness their data and use it to identify new opportunities for smarter business moves, more efficient operations and higher profits. In addition, with latest hadoop big data analytics tools like Apache Storm, Cassandra, MongoDB, analysis of data becomes easier and quicker. This, in turn, leads to faster decision making which saves more time and energy. Use of machine learning (ML) and artificial intelligence (AI) in data-driven organizations are accelerating trends. In addition, use of hybrid deployments such as hybrid and multi-cloud methodology to the forefront of data ecosystem strategies is emerging as a trend which can be seen as an opportunity by market players. 

Download Sample Copy of the Report to understand the structure of the complete report (Including Full TOC, Table & Figures) @ https://www.decisionforesight.com/request-sample/DFS020073

Market Dynamics and Factors:

Increasing volume of big data is the key driver for the growth of hadoop big data analytics market. IBM stated that, people are already generating 2.5 quintillion bytes of data each day Worldwide. Moreover, according to Forbes, over 150 trillion gigabytes (150 zettabytes) will need analysis by 2020. Additionally, latest trends in analytics such as augmented analytics, in-memory computing and data analysis automation are bringing enormous opportunities for the hadoop big data analytics market growth in the coming years. Moreover, demand of cost effective hadoop big data and fast solution is growing across the globe which is fueling the market growth. Merging Artificial Intelligence (AI) and Machine Learning (ML) techniques to big data analytics has produced more ways of creating, developing, sharing and utilizing analytics. However, shortage of skilled professionals is restricting the growth of the hadoop big data analytics market. Furthermore, lack of awareness and security concerns are the major factors that challenge the market growth in the upcoming years.

Market Segmentation:

Global Hadoop Big Data Analytics Market – By Deployment Model

Cloud Based

On-premises

Hybrid

Global Hadoop Big Data Analytics Market – By Service

Professional

Managed

Global Hadoop Big Data Analytics Market – By Application

Risk & Fraud Analytics

Internet of Things (IoT)

Customer Analytics

Offloading Mainframe

Security Intelligence

Global Hadoop Big Data Analytics Market – By End-Users

Banking

Financial services and Insurance (BFSI)

Government & Defense

Healthcare & Life Sciences

Retail & Consumer Goods

Media & Entertainment

Energy & Utility

Transportation & SCM

IT & Telecommunication

Others

Global Hadoop Big Data Analytics Market – By Geography

North America

U.S.

Canada

Mexico

Europe

U.K.

France

Germany

Italy

Rest of Europe

Asia-Pacific

Japan

China

India

Australia

Rest of Asia Pacific

ROW

Latin America

Middle East

Africa

New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request TOC at @ https://www.decisionforesight.com/toc-request/DFS020073 

Geographic Analysis:

North America and Europe dominates the global hadoop big data analytics market. North America will continue its domination during the forecast period. From North America, U.S. has strong foothold of Big Data analytics vendors such as Microsoft Corporation, IBM Corporation, Intel Corporation which is fueling the growth of hadoop big data analytics market. Furthermore, surge in adoption of advanced analytics in various organizations and rising need to create meaningful insights form large datasets drive the growth of the hadoop big data analytics market in Europe. Asia Pacific is projected to growth with the rapid CAGR over the forecast period owing to rapid industrialization and urbanization. Moreover, government initiatives in India such as Digital India, Make in India and Aatm Nirbhar Bharat are expected to boost the hadoop big data analytics market growth in the region. The expanding startup community due to these initiatives and increasing technology adoption by Small and Medium-sized Enterprises (SMEs) is fuelling the healthy demand for managed data centre, analytics, hosted infrastructure and hosted application services which is aiding the market growth in this region.

Competitive Scenario:

The major key players in the hadoop big data analytics market include Intel Corporation, Microsoft Corporation, IBM Corporation, SAP SE, Teradata Corporation, SAS Institute Inc., MongoDB, Inc., Amazon Web Services, Cloudera, Inc. and Tableau Software, Inc.

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How will this Market Intelligence Report Benefit You?

The report offers statistical data in terms of value (US$) as well as Volume (units) till 2030.

Exclusive insight into the key trends affecting the Global Hadoop Big Data Analytics industry, although key threats, opportunities and disruptive technologies that could shape the Global Hadoop Big Data Analytics Market supply and demand.

The report tracks the leading market players that will shape and impact the Global Hadoop Big Data Analytics Market most.

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SW Rey Theory - Legacy of Light - Chapter 15

< - Previous Chapter

Table of Contents - >

(End of A New Hope, during rebel assault on the first Death Star)

              “I’ve missed you so much! Where have you been?” Now that they'd moved somewhere more private, Ahsoka studied her daughter’s face wishing it was easy to explain what had happened and why she’d had to stay silent on her, but it wasn’t. Nothing was easy anymore. Ashla had felt her fight with Anakin, and it ate at her insides that she’d allowed herself to be so open when she had. In the moment, all she’d wanted was to open herself to him, forgetting momentarily the strength of the bond she had with her daughter. This was not at all how she’d hoped Ashla would know him. All she’d wanted was for him to be preserved in her memories as the good and heroic Jedi knight; not to sell him as perfect, but definitely not as what he’d become. How was she to explain the force, and how Ezra had pulled her out of her own time? Morai had explained some of it, but it was still a lot to wrap her head around. How could she explain her daily pilgrimage into hostile lands in attempt to save her master?

            “I’ve missed you too, my love,” she breathed, running her fingers through her daughter’s unruly hair. She looked more and more like Anakin every day. How was she eighteen already? Where had the time gone and when had she gotten so tall? “It’s a long story, and I’m not sure now is the time. I want to hear about you. How did you find your way to the rebellion?” She wasn’t thrilled Ashla was here in the middle of it, but at least she could breathe some relief that she’d found her way to Rex.

            “Well, I…” Ashla was interrupted as the loudspeaker came on across the complex.

            “Ahsoka Tano, please report to the command center. Ahsoka Tano, please report to the command center.”

            “Oh for…” she trailed off so she didn’t swear in front of her and set her hand on her daughter’s shoulder. “Wait here, I’ll go see what they want.”

            “Welcome back,” the thin, short haired woman in front of her said as she entered the command center. 

            “Thank you, Senator,” Ahsoka nodded to her. She didn’t know this one personally, but she recognized her from the senate meetings during the time of the Republic. Padmé had pointed her out a few times. Mon Mothma, former senator of Chandrila. She’d abdicated her position and fled the Empire in order to join the rebellion sometime after Ahsoka had gotten stuck on Malachor. Now that Bail was… well… the loss of Alderaan still burned her soul. When she’d heard the news about it, she’d known it was finally time to return to the rebellion. He’d brought her into it all those years ago; she’d helped him bring rebel cells together. Had it not been for his willingness to take the risk, none of this would have been possible. After all the recent losses they’d suffered, and the intel that the Death Star was headed for Yavin… she couldn’t stay away anymore. Not after seeing the destruction the temple weapon had caused on Malachor, and knowing that the Empire had a bigger one out there that could destroy entire planets… It no longer mattered if enough time had passed since Ezra saved her or not. She couldn’t in good conscience sit back and do nothing with such a threat looming over the galaxy. 

            “Bail has spoken very highly of you over the years. It is an honor to finally make your acquaintance,” Mon Mothma nodded to her and put her hands behind her back. “Now I know you only just returned and would probably like to rest, but as you know, the Empire waits for no one. Do you know anything about this weapon that is on its way here?”

            “Not much, I’m afraid.” She brought her hand up to her chin. “Only that I’ve seen what it can do on a much smaller scale and of course, what it did to Jedha, Scariff and Alderaan. In my opinion, the Empire is getting rather reckless; destroying their own information hub just to stop a small rebel skirmish?”

            “Yes, I wondered about that too. However, they found out about our base here on Yavin and probably believe that by wiping it out, it won’t matter that they destroyed Scariff.” The senator paused as a handful of people entered the briefing room including Rex and Ashla. “As you are all aware, there is already a strike force headed to intercept the Death Star. Even if they are successful in stopping it, our base of operations will be moving to Hoth as Yavin has now been compromised,” she turned and addressed the rest of them. 

            “What are you doing here?” Ahsoka whispered to Ashla when Mon Mothma turned her back. 

            “I was summoned too.” She looked at her confused and turned back to the senator. The rest of the group of rebels were clearly fighters. Ashla stood out amongst them and she wasn’t sure she liked that she’d been summoned for this too. She had a bad feeling about this.

            “A few hours ago, we received intel that there is an Imperial freighter floating abandoned in the Auril Sector not far from Kulthis.” Mothma turned on the holotable in front of them. We sent a droid ahead to slice into its mainframe. According to the log, it had engine trouble and the crew abandoned ship. All reports indicate their resources are spread too thin to reclaim it right now.” She clicked a button and a list appeared in front of them. “The cargo manifest shows it is carrying vital supplies to our rebellion. Water, rations, medical equipment, gear, and weapons.”

            “Even if they don’t have the resources to retrieve the cargo, it doesn’t make sense for the crew to abandon the vessel completely, and it just so happens to be carrying supplies a rebellion would need? It’s too convenient,” Ahsoka crossed her arms in front of her. “Odds are that it’s a trap.”

            “I agree,” Rex stepped forward. “We don’t exactly have enough people here to offload supplies from a freighter of that size, even if it isn’t.”

            “I’m aware of that, Captain. And that is why Miss Okami is here. Ahsoka is going to lead the forces you see before you and steal the ship, disable any tracking mechanisms and meet us on Hoth.”

            Ahsoka’s eyes widened and it took all her effort not to refuse, “I am not taking a mechanic into an obvious trap. It’s too dangerous.” She felt her chest tighten into a knot. 

            “But I’m the best mechanic on the base. I’m the only chance you have at getting it flying again,” her daughter exclaimed stepping forward.

            “No, absolutely not.” Ahsoka glared at the senator. 

            “I’m afraid that’s not your call, Miss Tano,” Senator Mothma crossed her arms, meeting her challenge. “All members of the rebellion know the risks when they join.” Had Rex not squeezed her on the shoulder, she might have spilled right there that Ashla was her daughter and yes, it was her call; rebellion or not. With difficulty, she managed to stop herself from making a face at her. Shirking the leadership had been a hard habit to drop. One of the bad habits she’d learned from her master, and it was something she definitely didn’t want to pass on to their daughter.   

          “I hate to say it, Ahsoka, but without Ashla, that ship won’t go anywhere. At least not before Imperial forces return to reclaim it. She’ll have it up and running in no time and we’ll be right there to protect her.” She took a deep breath trying to absorb Rex’s words. He was right and she knew that, but this was exactly why she hadn't wanted Ashla part of the rebellion. What if a mission like this had come up when she wasn’t around? She shuddered to think about it. She knew Rex would do anything to keep her safe, but he hadn’t faced the inquisitors, Maul, Anakin or the Emperor. There were things out there a common blaster wouldn’t kill. As incredible as he was, he was just one man; they didn’t have an army anymore. Knowing that her daughter was in danger every second of this mission was going to be distracting, and she didn’t want to find out the consequences of that.

            “I don’t like it,” she murmured to him under her breath, still staring daggers at the senator before them. 

            “I know,” he whispered, and she took a deep breath.

            “It’s settled then, you’ll leave immediately. I assume I don’t need to tell you how important these supplies are for the good of the rebellion.” It took every ounce of willpower she had to not storm out of the room and order her daughter to stay put. But then she remembered that the Death Star was on its way to Yavin Four, and that if the rebels were not successful in stopping it… At least if Ashla was with them, she couldn’t be decimated by it. Luke was part of the strike force, that's what Ashla had said. For the rebellion's sake, she hoped he could fly like his father.

          She’d been out of action for too long. Running out on a mission, hours after arriving was not at all what she’d had in mind when she returned. Though she probably should have known better. When Rex had told her that Ashla was here, everything else had gone out the window. She’d nearly forgotten why she’d returned the moment she’d seen her daughter’s face. She’d wanted nothing more than to scoop her up in her arms and run away. But she couldn’t do that.

            She brought her hands up to her face trying to hide her frustration even though she was alone in the hallway. Everything she was afraid of was coming to fruition in front of her. She hadn’t been able to save Anakin; she wasn’t even sure if she was making progress in trying to reach him. She hadn’t been able to keep her daughter away from the rebellion or the Empire. She hadn’t made it back in time to help Ezra. She hadn’t been able to keep her daughter secret and safe. What if this was the last time she ever saw her?

            “Come on, Lil’un.” She heard Rex around the corner and fell back into the shadows. “I know you’re frustrated but give your mom a break.”

            “Why?” came Ashla’s strained voice and Ahsoka’s heart clenched in her chest. “She disappears for two years without so much as a word to me, then she acts as though she was never gone. Now, it’s like she doesn’t even want me here!”

            “You know that’s not true,” Rex replied and Ahsoka tipped her head back leaning against the wall.

            “Do I?” She could almost picture Ashla’s pout. 

            “Listen Ashla, everything your mother has done since you were born was to protect you. She’s seen more horrors in her life than you can possibly imagine, that’s why she kept you away from this. Working as a mechanic on the base and fighting on the front lines are two very different things.” She nodded in agreement to Rex’s statement. If you won’t listen to me, please listen to him.

            “But I don’t need protection; I’m not helpless! Ezra taught me how to use the lightsabers, you helped me improve my blaster skills.” So, Ezra was how Ashla ended up at the rebellion? How did he even find out about her? Surely Rex hadn't told him. And how did she end up with lightsabers? What all had happened in the two years she’d been absent?

            “I know that, Lil’un. And you’re very good at both; it’s not competency that’s the problem. She’s afraid she won’t be able to keep you safe, and so am I. Now is not the time to get surly and reckless like you have something to prove. The first rule of battle is to listen and obey your superiors, because they have more experience than you. Your mother, she has more than most. There will be plenty of time to work this out later. Can you put it aside for now?” Tears welled in her eyes as she listened to Rex try to calm her daughter down. So long ago… she’d had similar conversations with Anakin. He had been too protective of her, at least that had been what it felt like. While she, like Ashla, wanted action; she wanted to learn, she wanted to grow and prove herself worthy. Which usually ended with her doing something stupid in order to. She did not want her daughter doing the same thing.

          “I guess so,” Ashla sighed.

            “Good girl. If your mother was silent on you for two years, she must have had a very good reason. You are the most important thing in the world to her.” The tears fell before she could stop them and she ran in the opposite direction, locking herself in the nearest refresher and slumping over the sink. Yes… her daughter had been the most important thing in the world to her… until Anakin came back into the picture. She stared at her reflection in the mirror. What was happening to her? 

            She was alive, but it no longer felt that way. Everything she’d been fighting for was crumbling around her. It was getting harder and harder to stay above the waves of sorrow. Every step forward was met with several forced steps back. For every small victory against the Empire, they struck back with devastating consequences. Were they fighting a losing battle? Was that why Anakin was on their side now? Did he foresee this? If he were still her master, how would he advise her in this situation? We need not be adversaries... he'd tell her to join him.

            She closed her eyes and took a deep breath, trying to remember everything he taught her when he'd been a Jedi. Try as she might, nothing came to her on how to proceed. Anakin probably would have run recklessly into the situation; believing arrogantly that he was in control of it. Okay, maybe he wasn’t the one to tap into after all… What would Obi wan do? He’d go into the mission confident in his abilities to protect those around him and if he failed, he’d believe it happened as the force meant it to. But he’d never had to lead his own child into battle. She laughed hoarsely and looked up at her reflection again. And he’d probably quote a laundry list of reasons why attachment was dangerous. A little late for that now…

          If she couldn’t control her emotions, maybe the rebellion was better off without her. “Pull yourself together, girl,” she muttered aloud. “You can do this. You’ve faced worse. This is no different than every other mission you’ve ever ran. They need you and you’re going to come through for them. You’re going to protect them and you’re going to protect your daughter. It’s what Anakin trained you to do.” Keep your head in the here and now… She splashed some water on her face to wash away the tears and headed out.

 ---

 ​            None of the scans as they reached the coordinates indicated that there were lifeforms aboard the ship, but that did nothing to put her at ease. The trickle of unease was steadily growing as they closed in on the vessel. Senator Mothma may have taken over leadership of the rebellion after the loss of so many, but Ahsoka was not confident in her abilities to understand the dangers of these missions. To so blatantly ignore that this could be a trap… it infuriated her. She must think because Ahsoka had once been a Jedi and that Rex had served in the Clone Wars, that there was nothing to be worried about. No lifeforms did not mean they were walking onto an abandoned ship. If they were still fighting Separatists, this ship would be packed with battle droids.

            ​"Commander, we're scanning high levels of carbonite," one of the rebels said that had accompanied her. The feeling that something bad was coming went through the roof; droids were now the least of her concern.

            “It looks like this was a trap after all. Why was that not included in the report from the droid?” She turned to look at the battered group of rebels that had accompanied them. They looked amongst themselves but shook their heads. They didn’t know any more about it than she did. She tried reaching into the force to get a feel for what was waiting for them, but because the carbonite suspended life signs, it was difficult to make out. Odds were, if the trap that was set included carbonite, this was not going to be stormtroopers. This was worse, much worse. She glanced to her side and saw Ashla tense, gripping her old lightsabers in her hands. Seeing them startled her for a moment. How did her daughter have her lightsabers?

            "I think we spent too long fighting droids, Commander. We've grown complacent," Rex commented from her right side. She didn’t disagree with him. Even though they hadn’t faced battle droids in over twenty years, it was still difficult to shake the ingrained lessons that they’d taught them. This was not the Clone Wars anymore. This was people versus people and she hated every second of it. His words stirred her back to action and she turned to the group behind them.

            “Turn your weapons off stun. If these are inquisitors, aim for the hilt of their weapons, and don’t fire directly at the blade of the lightsabers. Spread out in groups, comms on and keep your eyes open. Move out.” They nodded to her and disappeared. 

            “Mom?” Ashla whispered, scooting closer to her.

            "I don't like it either Ashla, but we're fighting a war. It's life or death, and sometimes all we can do is survive to fight another day. When this mission is over, you're going somewhere safe. Away from the rebellion," Ahsoka said distractedly. She was feeling something, but she couldn’t pinpoint where it was coming from. It was both familiar and unfamiliar. 

 ​           "Why can't I stay with you? Why can't we go away together?" Ashla asked. 

 ​           Ahsoka blinked a few times and looked down at her daughter. "Look at me Ashla, I stand out in a crowd. As the Empire thins out alien populations across the galaxy, I become more and more obvious. I’ve made more than a few enemies over the years who all know what I look like. I can't just put on a disguise; these things don't go away. Not even putting on a cloak will hide what I am. But you, you look human. You can hide anywhere." She didn’t mean to be short with her, but the feeling that was bothering her was creeping closer and she didn’t have time to argue. All she wanted was her to be safe.

 ​           "Why can't we stay with the rebellion? Then we wouldn't have to hide, and we could still be together!" Ashla begged. 

 ​           As she looked at her pleading face, screwed up close to tears, she was reminded of herself from so long ago. When Anakin had been so overprotective of her; picking and choosing what missions she could go on based on the level of danger expected. What had she told him then? How will I ever learn if you don’t let me come? She understood the need her daughter was feeling far too much, but things were different now. She’d not been trained as a Jedi. She’d not spent countless hours meditating, studying and practicing. She was strong in the force, she had the natural ability, but the truth was, Ahsoka didn’t want her to grow up having to fight. She wanted her to live her life; to find happiness. To learn and know the force, and to respect it. She wanted to fight the war so her daughter could live, and she’d sacrifice it all for that. "I want us to be together more than you could possibly know, but you'll be much safer out there then you'll ever be with me or the rebellion." She couldn’t keep her away from it forever, but she had to try. 

            ​"But..." Ashla started. 

 ​           She cut her off, "Ashla. I need you somewhere safe so that I have something to keep fighting for. I can't worry about you here. I can't risk losing you. I love you too much. You're one of the only things I have left," she begged her daughter to see reason, to understand. The very thing she’d warned her had happened to Anakin was happening to her too; the fear of loss. The possibility of losing her daughter existed wherever she was, but maybe it was her fear of seeing it happen; of not being able to protect her if she was here that scared her so much. Losing Anakin had been hard enough and he’d just been someone important to her. Ashla was her flesh and blood. She may have once thought she’d known better than the Jedi order on whether attachments were dangerous, but now… now she was starting to understand. 

            ​Ashla watched her face for a moment, tears streaming down her cheeks. "Okay," she said finally. “For you, I will.” Ahsoka pulled her into a hug. She poured every ounce of love she felt for her into the embrace. She kissed the top of her head, not wanting to let her go. Being away from her for years had been hard enough. Now having to force them apart again… she was certain it would feel worse than when Anakin had gone missing. If she kept ripping her soul to pieces because she was too attached to people, it wouldn’t be long before there was nothing left.

            ​“Commander, I’m sorry to interrupt, but we found where the carbonite readings were coming from. They’re all empty,” Rex said returning. “No one has seen anything yet, and without a droid, we can’t tell how long they’ve been empty.”

 ​           Ahsoka released Ashla and looked up at the ventilation duct nearby. “Rex… I have a bad feeling about this. Where is the droid that was sent ahead?”

“Haven’t found it yet,” Rex glanced around.

“Ashla, stay close to us.” Her daughter nodded, looking around nervously. She pulled her lightsabers from her belt, mentally trying to push her emotions aside so she could focus.

          The sounds of blaster fire echoed through the ship, Rex and Ashla raced towards it. She ignited them in front of her as she ran. They came around a corner where two rebel fighters had fallen. No sign of who they’d been fighting in sight. Rex crouched down to check for pulses, but shook his head at her sadly. She swallowed, looking around, trying to listen for movement.

          She pushed her comm button, “Report?” she asked.

​           “We saw someone running towards the cargo hold, hold on…” someone responded but trailed off. She looked over at Rex and tipped her head. They moved forward cautiously, staying on high alert. “False alarm, just a droid. Not ours though,” the voice that came through was staticky. 

​            "It looks like we are facing inquisitors. Regroup at the cargo hold. Do not engage alone.”

            “Yes sir.” Ahsoka moved forward, senses out. What she’d been feeling earlier was nearby. They met up with the rest of the team in the cargo hold where the carbonite was. There were four of them, all empty. If they were all inquisitors, this wasn’t going to end well. She was the only one that stood a chance against them. Her daughter maybe, if she’d trained her to fight. Her feeling of dread was building, and she was almost certain there was something else here too; something darker. Something more like Vader. It wasn’t him, she was sure of that, but it felt like him. Stealth was not Anakin’s game, so switching to that now seemed unlikely. Whatever it was, was playing them into a trap.

            Making the decision, she stood up taller, “Pull back, we’re leaving. Whatever is here, we’re not prepared to face it.” No amount of supplies were worth a slaughter. In fact, she doubted there were any supplies aboard at all.

            “Look out!” someone behind her shouted as an inquisitor dropped out of the ducts above them. She couldn’t stop the soldiers before they fired, and the inquisitor just deflected their bolts back at them. Two more down. Ahsoka ran forward and engaged him, ducked under his swing and spun around, pushing him back. Her daughter had pulled out her old lightsabers too, holding them forward as though to help. She kept him occupied herself, but then another one appeared at the front of the group, by Rex. He’d called out to her, dodging the reflected bolts. Ashla turned to help him.

            She tried not to worry about her daughter fighting another inquisitor while she dispatched the one that had come up behind them. When she finally managed to turn around she saw that Ashla wasn’t doing too badly, her and Rex seemed to have worked out a system where she’d keep the inquisitor’s blades busy and he’d shoot his blaster. By the looks of it, he’d already hit the inquisitor in the foot and the shoulder. She flipped, jumping over their heads and forced him to turn around. Ashla fell back, but Rex caught him in the back of the head and he fell to the ground. 

​            She met eye contact with her daughter and saw her eyes wide and fearful. She herself had grown up with plenty of fighting, violence and death. She’d had too much time to think about the life and world her daughter was having to grow up in. She ignored the guilt, but was sorry Ashla had to witness that.

​            Ahsoka didn’t have time to comfort her though, she could feel the darkness moving to cut them off. Rex set his arm around Ashla’s shoulder and she looked down, breaking their eye contact. She caught Rex’s eyes and he nodded for her to go on. She was grateful he was here, he could be to Ashla what Anakin had always been to her. For someone who had been manufactured in a clone factory, he had more senses and empathy than most. Which didn’t speak very highly of the rest of the galaxy. 

          “Follow me,” she beckoned for the other rebels to follow her and took off running back towards the airlock where they’d left their shuttle. She knew that her daughter and Rex wouldn’t be far behind. If the enemy was moving to cut off their escape, they’d be safer behind them. “Go on ahead,” she ordered the ten remaining rebels as another inquisitor burst out into the corridor and she immediately had her lightsabers up to engage him. This was three, but not the source of the darkness she was feeling.

          She heard more blaster fire and screams echo around ahead of her and she immediately regretted sending them ahead. It took a few minutes to take out the one in front of her and by the time she got to the cargo hold, there was devastation all around her. Her heart was racing. Where was Rex, and Ashla? Before she could panic, she felt them come up behind her.

          “Oh no…” Ashla trailed off, clinging to Rex. She could feel her daughter’s fear and sorrow and it derailed her own ability to think straight.

          There was a flash of movement and someone dropped down between them. He was human, unlike the inquisitors and his eyes burned gold. He also had two red lightsabers, but as he stood up straight, he held them behind him in the reverse grip; her signature style. She wasn't the only one that used it, but it was rare to find others that did. 

          "So, it is true," the Sith said dramatically as he paced around her. "Ahsoka Tano is still alive. The failed Jedi. The failed leader of the rebellion." He sneered ignoring them for now. Rex pulled Ashla back. "Considering how difficult it’s been to find you, I’m pleased it was you that fell into my trap. The rebellion you built is about to fall. And so are you.”

          "And who are you?" she curled her fingers tighter around her lightsabers. 

          "I am Starkiller. Apprentice to the most powerful Sith Lord in the galaxy," he said smugly pacing back and forth in front of her. She watched him carefully. 

          “Since there are only two, that narrows it down a lot. Which means you're not good enough yet to be a threat to either of them," she taunted, narrowing her eyes in battle readiness. She reignited her lightsabers to shine the brightest white and spun them into her adapted reverse grip; ignoring the residual sting of his words. She was too numb to be bullied today. This was about far more than her accomplishments. If only Vader knew he'd sent his lackey to kill his own daughter. Would he care if he knew? "Well, I was the apprentice to the greatest Jedi that ever lived and last I saw your master, he was limping away from his fight with me. Not a very powerful Sith Lord if I do say so myself," she scoffed. 

          Starkiller snarled and rushed towards her, swinging wildly. She ducked under his left arm, twirling around to bring her other hand up to strike. She hadn't fought many others that used the reverse grip, but because she used it, she knew very well its strengths and weaknesses. She threw all her focus into keeping him busy and away from Ashla. 

            They fought intensely. She noticed that Vader had taught him to go for the kill every chance he got; it was a weakness she could easily exploit. Interesting how his teaching methods had changed over the years. He'd always stressed to her the importance of protection and defense. Apparently, his years unchallenged as Vader had made him arrogant; and likely, that arrogance would cost him his apprentice. Not today though. She had no intention of killing him unless she had to. Not that she didn't want to, for endangering her daughter. 

            That wasn't the way. That wasn't her way, and despite her emotions, she was going to stay true to her beliefs. She’d already killed too many today. Besides, she wanted to send him back to Vader roughed up enough to give him a message. From her, with love. This was personal.

          She flipped, twisting over his head and swung fast. One of her lightsabers cut him across the cheek. He fell back but recovered, trying to assault with jabbing moves. She spun to the side, slicing up his arm. He howled in pain and tried to swing forward but her strike had severed muscle and he lost his grip on the saber in his left hand. He continued to fight with just his main hand, but she could tell he wasn't as strong with just the one. 

          "I have a message for your master," she said, pushing him back with the force into a pile of crates. "Tell him that Anakin Skywalker trained a far better apprentice than Vader."

          "You can tell him yourself when you're broken at his feet, but he won't believe you then!" he screamed at her, leaping back to his feet and running back into the fight.

          “Look out!” Ashla yelled from behind her and she almost didn’t duck in time. If she could keep Starkiller’s attention on her, they could get away. It wasn’t what she wanted, but… 

Next Chapter - >

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Subscriber Data Management Market Size,Demand, Industry Trends, Demands, Revenue Growth by 2026 With Key Players Like Openwave Mobility, Inc.,Sonic Foundry

Subscriber Data Management Market report added by Big Market Research descriptively covers the present & future growth trends, in addition to highlighting the global expanse of this industry and elaborating the regional share and contribution of each region of the Subscriber Data Management market. The study evaluates the competitive environment, strategies undertaken by prominent players, supply & demand analysis, and revenue growth statistics. Few of the major competitors currently working in the Global subscriber data management market are Telefonaktiebolaget LM Ericsson, Hewlett Packard Enterprise Development LP, Huawei Technologies Co., Ltd., HMD Global,  Oracle, Amdocs, Cisco, Computaris,  Openwave Mobility, Inc., ZTE Corporation., Echo360, Sonic Foundry, Vbrick, Qumu Enterprise Video, VIDIZMO LLC., Optiva, Inc., ALE International, Charter Communications.

Global subscriber data management market is set to witness a healthy CAGR of 17.62% in the forecast period of 2019 to 2026. The report contains data of the base year 2018 and historic year 2017. This rise in the market can be attributed to requirement to decrease Opex, Subscriber Request for LTE and Volte and Internet Protocol Multimedia Subsystem

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Subscriber Data Management (SDM) centralizes profile data in a single virtual data store across portable and connected networks. The management of subscriber data – such as network verification and the relation of users, related transaction designs, balances, application status – is essential for providers trying to seek to manipulate this data and eventually enhance customer satisfaction and push additional income.

Market Drivers:                      

Requirement to decrease opex and enable cross network merging is driving the growth of the market

Growing subscriber request for LTE and Volte is propelling the growth of the market

Arrangement of Internet Protocol Multimedia Subsystem (IMS) is boosting the growth of the market

Activity of Telcos in the direction of NFV is contributing to the growth of the market

Market Restraints:

Complexity in design is hindering the growth of the market

Lack of trust and privacy issues is restricting the growth of the market.

Delay in response time due to a centralized database hampers the market growth

Table of Contents:-

Subscriber Data Management Market Overview

Company Profiles

Global Subscriber Data Management Market Competition, by Players

Global Subscriber Data Management Market Size by Regions

North America Subscriber Data Management Revenue by Countries

Europe Subscriber Data Management Revenue by Countries

Asia-Pacific Subscriber Data Management Revenue by Countries

South America Subscriber Data Management Revenue by Countries

The Middle East and Africa Revenue Subscriber Data Management by Countries

Global Subscriber Data Management Market Segment by Type

Global Subscriber Data Management Market Segment by Application

Research Findings and Conclusion

Appendix

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

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– Detailed Overview of Subscriber Data Management market will help deliver clients and businesses making strategies.

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– What trends, challenges and barriers will impact the development and sizing of Subscriber Data Management Market?

– SWOT Analysis of each defined key players along with its profile and Porter’s five forces tool mechanism to compliment the same.

– What growth momentum or acceleration market carries during the forecast period?

– What would be the market share of key countries like United States, France, Germany, UK, China, and Australia & Japan etc.?

– Which region may tap highest market share in coming era?

– What focused approach and constraints are holding the Subscriber Data Management market tight?

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Global Hadoop Big Data Analytics Market By Component (Solution, Service) , Application (Risk & Fraud Analytics,  Internet of Things (IoT),  Customer Analytics ,Security Intelligence,  Distributed Coordination Service, Merchandising & Supply Chain Analytics, Offloading Mainframe Application ,Operational Intelligence, Linguistic Analytics), Vertical (BFSI , Government & Defense , Healthcare & Life Sciences, Manufacturing, Retail & Consumer Goods, Media & Entertainment , Energy & Utility, Transportation & SCM ,IT & Telecommunication, Academia & Research, Others ) ,Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa) – Industry Trends and Forecast to 2026 https://www.databridgemarketresearch.com/reports/global-hadoop-big-data-analytics-market

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Hadoop Big Data Analytics Market  Industry Segmentation, Demand, Size, CAGR Status, Leading Trends and Forecast To 2026 | Intel Corporation, TABLEAU SOFTWARE, Teradata., Alation

Hadoop Big Data Analytics Market research report recognizes and analyses the emerging trends along with major drivers, challenges and opportunities in the market. Following aspects are kept into view while formulating this global Hadoop Big Data Analytics Market report and include the market type, organization size, availability on-premises, end-users’ organization type, and the availability in Global market size, revenue generated from the sales and technologies by various application segments are also evaluated in this Hadoop Big Data Analytics Market report. Few of the major competitors currently working in the global hadoop big data analytics market are Cisco, SAP SE, Amazon Web Services, Inc., Hitachi Vantara Corporation, SAS Institute Inc., Hortonworks Inc., Hewlett Packard Enterprise Development LP, MongoDB, Inc, MapR Technologies, Inc., Oracle, Datameer, Inc., IBM,  Microsoft ,  Cloudera, Inc., Intel Corporation, TABLEAU SOFTWARE, Teradata.,  New Relic, Inc.,  Alation, Inc., Splunk Inc., and Striim, Inc. among others

Global Hadoop big data analytics market is set to witness a healthy CAGR of 40.3 % in the forecast period of 2019 to 2026. The report contains data of the base year 2018 and historic year 2017. This rise in the market can be attributed due to large volume of big data, convergence of internet of Things (IoT) and big data.

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 By Component (Solution, Service) , Application (Risk & Fraud Analytics,  Internet of Things (IoT),  Customer Analytics ,Security Intelligence,  Distributed Coordination Service, Merchandising & Supply Chain Analytics, Offloading Mainframe Application ,Operational Intelligence, Linguistic Analytics), Vertical (BFSI , Government & Defense , Healthcare & Life Sciences, Manufacturing, Retail & Consumer Goods, Media & Entertainment , Energy & Utility, Transportation & SCM ,IT & Telecommunication, Academia & Research, Others )

Hadoop Big Data Analytics market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, the impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Table of Contents – Major Key Points

Part 01: Hadoop Big Data Analytics Market Overview Part 02:  Manufacturers Profiles Part 03: Global Hadoop Big Data Analytics Market Competition, by Players Part 04: Global Hadoop Big Data Analytics Market Size by Regions Part 05:  North America Hadoop Big Data Analytics Market Revenue by Countries Part 06: Europe Hadoop Big Data Analytics Market Revenue by Countries Part 07: Asia-Pacific Hadoop Big Data Analytics Market Revenue by Countries Part 08: South America Hadoop Big Data Analytics Market Revenue by Countries Part 09: Middle East and Africa Revenue Hadoop Big Data Analytics Market by Countries

Big data analytics is a typically advanced method of examining massive and varied data sets – or big data to reveal information such as hidden patterns, unknown correlations, and market trends along with client preferences that may facilitate organizations to create business selections. Data analytics technologies and techniques offer methods to research data sets and draw conclusions regarding them to assist organizations business selections. Business Intelligent queries answer primary questions on business operations and performance.

Market Drivers:

Growing need of big data analytics and increasing volume of big data is driving the growth of the market

Convergence of big data and internet of things is boosting the growth of the market

Demand of cost effective hadoop big data and fast solution is increasing worldwide which is fueling the market growth

Market Restraints:

Lack of big data regulatory framework and deficiency in safety is hampering the market growth

Immaturity of hadoop platform may hamper the market growth

Shortage of skilled professionals is restricting the growth of the market

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The Report Highlights

Historic and forecasted Hadoop Big Data Analytics market size in terms of revenues & unit sales, average selling price, growth rates, and company market shares.

Highlights and compares key application/product categories for growth trends and revenue forecast.

Hadoop Big Data Analytics Market size, revenue and unit sales according to each region

Cross category comparison – Growth and revenue comparison for product categories, historic and forecast through 2026.

Hadoop Big Data Analytics Market share of top key players

Current trends and recent Developments

Important Key questions answered in Hadoop Big Data Analytics market report:

What are the key factors affecting market dynamics? What are the drivers, challenges, and business risks in Hadoop Big Data Analytics market?

What is Dynamics, This Overview Includes Analysis of Scope and price analysis of top Manufacturers Profiles?

Who Are Opportunities, Risk, and Driving Force of Hadoop Big Data Analytics market? Knows Upstream Raw Materials Sourcing and Downstream Buyers.

Who are the key manufacturers in space? Business Overview by Type, Applications, Gross Margin, and Market Share

What are the opportunities and threats faced by manufacturers in the global market?

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Sensor Hub Market Set to Grow at Healthy CAGR forecast by 2026

Global sensor hub market is to register a healthy CAGR of 6.90% in the forecast period of 2019-2026. A sensor hub is a multi-sensor link point that implements a multi-point control unit (MCU), coprocessor, or digital signal processor (DSP) to compile and process data collected from all these sensors.

Major Market Competitors/Players

Few of the major competitors currently working in global sensor hub market are Texas Instruments Incorporated, MEMSIC, Inc., LAPIS Semiconductor Co., Ltd., TDK Corporation. , Infineon Technologies AG, Imagination Technologies Limited.,  TE Connectivity, Renesas Electronics Corporation, Marvell,  Maxim Integrated, HILLCREST LABS, Analog Devices, Inc., STMicroelectronics, ROHM SEMICONDUCTOR., Robert Bosch GmbH,  Qualcomm Technologies, Inc., NXP Semiconductors., Microchip Technology Inc.,  Intel Corporation, Broadcom and others

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Sensor hubs share a number of different wise work performed through mainframe of a computer or other device. This enables for the collection and processing of environmental data collected by sensors with the demand for computing resources. Offloading enables for greater instrumentation, freer CPU time, higher efficiency and reduced energy draw.

Segmentation: Global Sensor Hub Market

·         By type (Gyro Sensors, Hall Sensors, Proximity Sensors, Temperature Sensor, Magnetic Sensors, Others)

·         By Processor Type (Programmable and Fixed Logic, Application Sensor Processor, Sensor Integrated Microcontroller, Discrete Sensor Processor, Others)

·         By Devices (Smart Phones, Tablets, Wearable Devices, IoT and Connected Devices, Others)

·         By Applications (Positioning and Navigation, Health And Fitness, Augmented Reality And Gaming, Activity Monitoring, Voice Command, Gestures Navigations, Others)

·         By End-User(Commercial, Consumer Electronics, Healthcare, Retail and Wholesale, Telecommunications, Government, Media and Entertainment, Education, Others)

Competitive Analysis

Global sensor hub market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of sensor hub market for Global, Europe, North America, Asia-Pacific, South America and Middle East & Africa.

Market Drivers:

·         Increasing demand for low power generating solutions is a driver for this market

·         Steady growth within the range of integrated sensors in smartphones is driving the market

·         Rising use of 6-axis and 9-axis sensing element solutions Or use of sensing element fusion at intervals devices is boosting the market

·         Expanding demand for cell phones with integrated sensors is a central point driving the growth of this market

Market Restraints:

·         Complicated debugging field problems as there is no direct interface between the sensor hub and also the Application Processor(AP) is restraining the market growth

·         Technical complexity in the implementation of a sensor hub is hampering the growth of this market

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Key Insights in the report:

·         Complete and distinct analysis of the market drivers and restraints

·         Key market players involved in this industry

·         Detailed analysis of the market segmentation

·         Competitive analysis of the key players involved

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Covid19 update: Hadoop Big Data Analytics Market Continuous Excellent Growth | HMD Global,  Oracle, Amdocs, Cisco, Computaris,  Openwave Mobility

Hadoop Big Data Analytics Market report includes the analysis and discussion of important industry trends, market size, market share estimates, profiles of the leading industry players, and forecasts. Few of the major competitors currently working in the Global Hadoop Big Data Analytics market are Telefonaktiebolaget LM Ericsson, Hewlett Packard Enterprise Development LP, Huawei Technologies Co., Ltd., HMD Global,  Oracle, Amdocs, Cisco, Computaris,  Openwave Mobility, Inc., ZTE Corporation., Echo360, Sonic Foundry, Vbrick, Qumu Enterprise Video, VIDIZMO LLC., Optiva, Inc., ALE International, Charter Communications.

Global Hadoop big data analytics market is set to witness a healthy CAGR of 40.3 % in the forecast period of 2019 to 2026.

Market Drivers:

Growing need of big data analytics and increasing volume of big data is driving the growth of the market

Convergence of big data and internet of things is boosting the growth of the market

Demand of cost effective Hadoop big data and fast solution is increasing worldwide which is fueling the market growth

Market Restraints:

Lack of big data regulatory framework and deficiency in safety is hampering the market growth

Immaturity of Hadoop platform may hamper the market growth

Shortage of skilled professionals is restricting the growth of the market

By Component (Solution, Service) , Application (Risk & Fraud Analytics,  Internet of Things (IoT),  Customer Analytics ,Security Intelligence,  Distributed Coordination Service, Merchandising & Supply Chain Analytics, Offloading Mainframe Application ,Operational Intelligence, Linguistic Analytics), Vertical (BFSI , Government & Defense , Healthcare & Life Sciences, Manufacturing, Retail & Consumer Goods, Media & Entertainment , Energy & Utility, Transportation & SCM ,IT & Telecommunication, Academia & Research, Others ) ,Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa)

MAJOR TOC OF THE REPORT

Chapter One: Hadoop Big Data Analytics Market Overview

Chapter Two: Manufacturers Profiles

Chapter Three: Global Hadoop Big Data Analytics Market Competition, by Players

Chapter Four: Global Hadoop Big Data Analytics Market Size by Regions

Chapter Five: North America Hadoop Big Data Analytics Revenue by Countries

Chapter Six: Europe Hadoop Big Data Analytics Revenue by Countries

Chapter Seven: Asia-Pacific Hadoop Big Data Analytics Revenue by Countries

Chapter Eight: South America Hadoop Big Data Analytics Revenue by Countries

Chapter Nine: Middle East and Africa Revenue Hadoop Big Data Analytics by Countries

Chapter Ten: Global Hadoop Big Data Analytics Market Segment by Type

Chapter Eleven: Global Hadoop Big Data Analytics Market Segment by Application

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Hadoop Big Data Analytics is a business solution that provides profound study of crowd adaptability at public places such as railway stations, metro and malls among others. It consist of different statistics and modelling capabilities such as behavioral model, conflict evaluation, value engineering, complex network examination. Hadoop Big Data Analytics brought exceptional business operations with the help of customer behavioral study and crowd tracking.

Regionally, this report categorizes the production, apparent consumption, export and import of global Hadoop Big Data Analytics market covering:

- North America (United States, Canada and Mexico)

- Europe (Germany, France, UK, Russia and Italy)

- Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

- South America (Brazil, Argentina, Colombia)

- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

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 Connect Infosoft Technologies, as a best Machine Learning development company, Machine learning is an application of artificial intelligence (AI) that enables a machine to learn from data rather than through explicit programming systems.

Machine learning, mainly focus on the development of computer programs that can observe or access data and use it to learn for themselves. Its primary aim is to allow the machine to learn automatically without any human intervention or assistance and adjust actions accordingly. Machine learning look’s for patterns in algorithm data and makes better decisions in the future based. It learns from experience. However, machine learning is not a simple process.

SOME MACHINE LEARNING METHODS:

Supervised Machine learning, as the name indicates the presence of supervisor. It is used in the cases where the target set is known. In this machine is trained by input data and produces a predicted outcome from labeled data. Which we can later verify using cross validation between the targets set and predicted outcome to check for our model accuracy.

Supervised learning models includes below algorithms:

Regression

                        o   Linear

                        o   Logistic

Classification. 

Unsupervised Machine Learning, algorithms are used to train a machine when the target set is unknown or not labeled which leads algorithm to act on that information without guidance. Under the unsupervised machine learning the task of machine is to group unsorted information according to similarities, patterns and differences without any prior training of data. Thus the machine is restricted to find the hidden structure in unlabeled data by its own. Unsupervised learning models includes below algorithms:

Clustering

Association.

Semi-supervised Machine Learning, algorithms fall between supervised and unsupervised learning, since it is a combination of both labeled and unlabeled data for training. Typically a small amount of labeled data and a large amount of unlabeled data is available. This method is used on those systems which are considered for improving learning accuracy.

Reinforcement Machine Learning, is a part of Machine Learning. Reinforcement is about making our model learn by taking suitable action which provides it maximum reward in a particular situation. It is done by various software and machines to find the best possible behavior or path then it should take in a specific situation with maximum reward. Combining machine learning with cognitive technologies and AI makes it even more effective in processing large amount of information. Reinforcement machine learning is further classified into CNN(Convolutional Neural Network), ANN(Artificial Neural Network), RNN(Recurrent Neural Network), Q-Learning, DRQN, DDPG etc..

 ADVANTAGES OF MACHINE LEARNING:

 Vastly Used In Variety Of Applications Like Banking & Financial Sector, Healthcare, Retail, Publishing & Social Media, Robot Locomotion Etc.

Google And Facebook Uses It To Push Relevant Advertisements Based On Users Past Searched Queries Behavior.

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Tools In Machine Learning Provide Continuous Quality Improvements In Large And Complex Process Environments.

Source Programs Such As Rapidminer Help To Increase Usability Of Algorithms For Various Applications.

 SOME MACHINE LEARNING TOOLS:

R: R is open-source programming languages with a large number of communities; it is mainly used for statistical analysis and analytical work. R has number of tools to communicate the results. R programming language is one the right tool for data science because of its powerful communication libraries. R is extensively used in the field of data science and machine learning from a very long time. Python: Python is an object-oriented, high level programming language for making web & app development and complex applications. It offers dynamic typing and dynamic binding options for applications and also supports modules and packages. Python programming is widely used in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Generation, Neural Networks and other advanced. Python had deep focus on code readability. SAS: R and SAS is another great combination for programming languages. SAS is an integrated software suite for advanced analytics, used for statistical analysis, business intelligence, data management and predictive analytics. SAS software can be used for both ways- graphical interface and programming language. It can read in data/instruction from common spreadsheets and databases and results the output of statistical analyses in tables, graphs and as RTF, HTML, PDF. The SAS runs under compilers that can be used on Microsoft Windows, Linux and mainframe computers. SAS language consists of two compilers as SAS System and World Programming System (WPS). GPU Architecture: GPU computing is the process of using GPU (graphics processing unit) as a co-processor to accelerate CPUs for general purpose, scientific and engineering computing. The GPU accelerates the running applications on CPU by offloading some of the compute-intensive and time consuming portions of the code. The rest of the application still runs on CPU. Technically application runs faster because it is using the massively parallel processing power of the GPU to boost performance. This process is known as heterogeneous or hybrid computing architecture.         Check Out Are Our More Services.

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Best Practices for Bringing Mainframe Data to Hadoop

Best Practices for Bringing Mainframe Data to Hadoop

Shift Mainframe Data and Batch Processing to Hadoop

Syncsort’s Mainframe Access & Integration for Hadoop Solution brings together decades of mainframe expertise with state-of-the-art Hadoop capabilities to provide a painless and seamless approach to offload mainframe data and workloads:

Access – get mainframe data into Hadoop and Apache Spark – in a mainframe format – and work with it…