#Big Data Market

[strangeblazetrash]

Big Data Market Expansion: How Organizations Are Leveraging Data Analytics

[seoexpertswizard]

Big Data Market Size, Share, Price, Trends, Report and Forecast 2023-2028

 Big data refers to large, diverse sets of data that are growing at an exponential rate. The volume of data, the velocity or speed with which it is created and collected, and the variety or scope of the data points covered are all factors to consider.

[wisteriagoesvroom]

got jumpscared by these ‘cus it looks like he is a junior analyst at an investment bank

from mclaren’s ig

[catie-does-things]

Just saw an ad for an "AI powered" fertility hormone tracker and I'm about to go full Butlerian jihad.

[posttechnodystopia]

Oldboy was a Warning of Today's Big Data Dystopian Future

I thought I would finish today by showing stills from one of my favorite arthouse movies of the 21st century. A disclaimer, Oldboy is not my favorite arthouse movie. Nor is it my favorite Chanwook Park movie. One of these days I'll send him up in a subsequent post.

2003

For those of you who do not know, Oldboy is the story of a scoundrel named Oh Dae Su who is kidnapped without warning and without knowledge of who his captor is.

Struggling to cope with his captivity for fifteen years, he is suddenly released with nothing but the obsessions that kept him alive--Revenge against the person who held him captive, and Curiosity as to why he was kidnapped.

But freedom becomes complicated for Oh Dae Su when he realizes events are being manipulated around him. The phone he is given mysteriously belongs to his captor. The clothes are not his. And he begins to suspect the young woman who decides to take him in.

There is a ton going on in this complex plot. Oh Dae Su does not know what he did to cause his captivity, something all private citizens should fear about the complex legal and digital world that makes decisions for us.

Multiple spends most of his time in captivity practicing to fight his captors, and preparing his escape. We only find out halfway through the film that every action he took was under constant surveillance. His efforts would have been for nothing. He was as powerless in the confines of his cell as he was in the real world.

Oh Dae Su even fails in captivity to take his own life. He admits, while trying to dig through a wall, that even if he falls to his death he will be free. Each time he is rescued from his attempt at self harm.

All of this is to say, a theme of totalitarian control and surveillance runs throughout Oldboy. Even the clothes he wears have been given to him by his abductor, and they are loaded with bugs so that they can know everything he says and does.

Even Oh's decisions are in doubt as he comes to question whether he has been either drugged or hypnotized.

The environment in Oldboy resembles today's consumer reality. Our phones that we use every minute collect and store personal data that is used to market products to us. Worse, that data is subsequently used to direct product marketing so that the things we want are conditioned into us. Even the clothes we wear and the food we eat are someone else's choice.

So was Chanwook Park trying to warn us about the nightmare of today from 22 years ago?

Not exactly. A lot has been explained about Park's motivations while making Oldboy, more than I have even read.

Chanwook Park has said that Oldboy was only partly an adaptation of the source graphic novel by Garon Tsuchiya. On a deeper level, Park has acknowledged that he meant to retell the play Oedipus Rex using the hypnosis motif that Tsuchiya employed in the manga.

But Park also acknowledged his influences were modern and postmodern novels, including the works of Franz Kafka.

Franz Kafka's writings are surreal dark comedies, but they are presented with bleak cynicism for the social bureaucracy of law which was his first vocation.

It follows that Chanwook Park did not write the script for Oldboy thinking of the risks modern technology would pose to us. Instead, he was writing about character motivations that were centuries old.

We learn by the end of Oldboy that his captor had his own plan for revenge against Oh Dae Su for some past wrong. But the unfolding of his revenge plot could be seen as the movie's only flaw, in that is seems nihilistic and purposeless. By the end, the villain gets nothing out of it and still suffers due to his previous, tragic loss.

The villain's revenge is entirely nihilistic.

This was Chanwook Park's stated intent for the revenge theme in Oldboy. But it is also a comment on the emptiness of totalitarianism, whether state sponsored or corporate. While it is all dangerous, in the end the impulse to dominate others is stale and hollow for the perpetrator of these violations.

There is much more to be said about Chanwook Park's filmography in all its richness. But for the topic of this blog post, the similarity between the movie and reality comes essentially from the fact that people have had the same dark motives since before the conception of Big Data.

There is something more to be said about how Oldboy, and the filmography of Nora Ephron, undermine some of the essential theories of postmodernism by Jean Baudrillard. But that is for another day.

[skillacademybytestbookpune]

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[hydralisk98]

Czarina-VM, study of Microsoft tech stack history. Preview 1

Write down study notes about the evolution of MS-DOS, QuickBASIC (from IBM Cassette BASIC to the last officially Microsoft QBasic or some early Visual Basic), "Batch" Command-Prompt, PowerShell, Windows editions pathing from "2.11 for 386" to Windows "ME" (upgraded from a "98 SE" build though) with Windows "3.11 for Workgroups" and the other 9X ones in-between, Xenix, Microsoft Bob with Great Greetings expansion, a personalized mockup Win8 TUI animated flex box panel board and other historical (or relatively historical, with a few ground-realism & critical takes along the way) Microsoft matters here and a couple development demos + big tech opinions about Microsoft too along that studious pathway.

( Also, don't forget to link down the interactive-use sessions with 86box, DOSbox X & VirtualBox/VMware as video when it is indeed ready )

Yay for the four large tags below, and farewell.

[ofcoursethevibes]

Week 5 blog post "Saga of Big Data 🙃"

After watching "The Legal Side of Big Data", Maciej Ceglowski's talk and reading "The Internet's Original Sin" .  I was intrigued by the complexities surrounding the use of big data in today's business landscape. As a business owner myself, I realize that harnessing the power of big data can unlock numerous opportunities for growth and innovation. However, there are crucial aspects that businesses must be acutely aware of when using big data.

First and foremost, data privacy and security must be at the forefront of any big data strategy. As businesses collect and analyze vast amounts of consumer data, they must ensure strict adherence to applicable laws and regulations. Compliance with data protection laws such as GDPR, CCPA, or other relevant regional laws is not just an ethical responsibility but also vital for avoiding potential legal repercussions and preserving consumer trust.

Transparency is another critical aspect that businesses must prioritize. Consumers have the right to know how their data is being used, stored, and shared. Clear and concise privacy policies and terms of use should be provided, ensuring that consumers can make informed decisions about their data's usage.

Furthermore, businesses should guard against using big data to engage in discriminatory practices. The insights derived from big data must be utilized responsibly and without any bias that could harm certain demographic groups or individuals. It's essential to continuously monitor data usage and algorithmic decisions to avoid reinforcing harmful stereotypes.

On the consumers' side, awareness of the implications of sharing their data is paramount. They should be mindful of what data they provide to businesses and exercise caution when consenting to data usage. Staying informed about privacy settings and exercising their rights to access, rectify, or delete personal data empowers consumers to have control over their information.

As for balancing the opportunities and threats of big data, a multi-faceted approach is necessary. Collaboration between businesses, policymakers, and consumer advocacy groups is key to developing comprehensive regulations that foster innovation while safeguarding privacy. Encouraging ethical data practices and responsible use of big data should be incentivized, and non-compliance should be met with appropriate consequences.

Additionally, promoting data literacy among the general public can foster a better understanding of the potential benefits and risks associated with big data. By educating consumers about data collection practices, they can make more informed decisions about sharing their information and demand greater accountability from businesses.

In conclusion, the world of big data offers immense potential for businesses, but it also poses significant challenges in terms of privacy, security, and ethics. By being aware of these considerations, businesses can navigate the legal complexities and build trust with their customers. Simultaneously, consumers must stay vigilant about their data and support initiatives that strike a balance between seizing the opportunities and mitigating the threats of big data. Only through collective efforts and responsible practices can we harness the full potential of big data while safeguarding individual rights and societal welfare.

[strangeblazetrash]

Big Data Market: Innovations Powering AI and Machine Learning

[never-quite-buried]

Nope now it’s at the point that i’m shocked that people off tt don’t know what’s going down. I have no reach but i’ll sum it up anyway.

SCOTUS is hearing on the constitutionality of the ban as tiktok and creators are arguing that it is a violation of our first amendment rights to free speech, freedom of the press and freedom to assemble.

SCOTUS: tiktok bad, big security concern because china bad!

Tiktok lawyers: if china is such a concern why are you singling us out? Why not SHEIN or temu which collect far more information and are less transparent with their users?

SCOTUS (out loud): well you see we don’t like how users are communicating with each other, it’s making them more anti-american and china could disseminate pro china propaganda (get it? They literally said they do not like how we Speak or how we Assemble. Independent journalists reach their audience on tt meaning they have Press they want to suppress)

Tiktok users: this is fucking bullshit i don’t want to lose this community what should we do? We don’t want to go to meta or x because they both lobbied congress to ban tiktok (free market capitalism amirite? Paying off your local congressmen to suppress the competition is totally what the free market is about) but nothing else is like TikTok

A few users: what about xiaohongshu? It’s the Chinese version of tiktok (not quite, douyin is the chinese tiktok but it’s primarily for younger users so xiaohongshu was chosen)

16 hours later:

Tiktok as a community has chosen to collectively migrate TO a chinese owned app that is purely in Chinese out of utter spite and contempt for meta/x and the gov that is backing them.

My fyp is a mix of “i would rather mail memes to my friends than ever return to instagram reels” and “i will xerox my data to xi jinping myself i do not care i share my ss# with 5 other people anyway” and “im just getting ready for my day with my chinese made coffee maker and my Chinese made blowdryer and my chinese made clothing and listening to a podcast on my chinese made phone and get in my car running on chinese manufactured microchips but logging into a chinese social media? Too much for our gov!” etc.

So the government was scared that tiktok was creating a sense of class consciousness and tried to kill it but by doing so they sent us all to xiaohongshu. And now? Oh it’s adorable seeing this gov-manufactured divide be crossed in such a way.

This is adorable and so not what they were expecting. Im sure they were expecting a reluctant return to reels and shorts to fill the void but tiktokers said fuck that, we will forge connections across the world. Who you tell me is my enemy i will make my friend. That’s pretty damn cool.

[maximumsongcandy]

Big Data Analytics Software Market Opportunities: Exploring Growth Avenues Across Key Industry Verticals

The big data analytics software market is undergoing a significant transformation, opening up new opportunities across various industries. As the digital landscape continues to evolve, businesses are turning to big data solutions to gain competitive advantages, streamline operations, and better understand customer behavior. With the increasing adoption of cloud computing, IoT, and AI technologies, the demand for advanced analytics tools is skyrocketing, creating an expansive opportunity for growth in the big data analytics software space.

Growing Demand Across Industry Verticals

One of the key drivers of the Big Data Analytics Software Market is its relevance across a wide range of industries. In sectors like healthcare, finance, retail, manufacturing, and telecommunications, organizations are embracing data analytics to enhance performance and gain deeper insights.

In healthcare, big data analytics is being used to improve patient care through predictive diagnostics, personalized treatment, and operational efficiencies. Similarly, financial institutions are relying on analytics software to detect fraud, assess risk, and optimize investment strategies. Retailers use big data tools to track consumer behavior, personalize shopping experiences, and improve supply chain management.

These use cases demonstrate that the Big Data Analytics Software Market is not limited to any one domain. Its applicability across verticals ensures a broad and sustained demand, creating immense opportunities for software vendors and service providers alike.

Advancements in AI and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) is significantly enhancing the capabilities of big data analytics software. Modern platforms are now capable of processing vast datasets in real time, identifying patterns, and delivering predictive insights that were previously unattainable. These technological advancements are reshaping how organizations operate, from automating routine tasks to optimizing complex processes.

As AI continues to mature, the Big Data Analytics Software Market will benefit from even greater levels of automation, accuracy, and scalability. Vendors that can successfully incorporate AI-driven features into their solutions stand to gain a considerable competitive advantage.

Cloud Adoption and Scalability

Cloud computing is another major factor fueling opportunities in the Big Data Analytics Software Market. Cloud-based analytics platforms offer businesses the flexibility to scale operations, store massive datasets, and process information without the need for extensive on-premise infrastructure.

The shift to cloud analytics not only reduces upfront costs but also allows for faster deployment and greater collaboration across departments. As more organizations embrace hybrid and multi-cloud strategies, the demand for cloud-native big data analytics tools is expected to grow rapidly.

This trend creates a fertile ground for software providers to innovate with scalable, cloud-first solutions that cater to the needs of both small businesses and large enterprises.

Government Initiatives and Data Regulations

Governments worldwide are investing heavily in digital infrastructure and promoting data-driven decision-making through various initiatives. Public sector adoption of big data analytics is expanding in areas like smart cities, national security, public health, and education.

At the same time, data privacy regulations such as GDPR, HIPAA, and CCPA are compelling organizations to invest in compliant analytics solutions. These regulations present both challenges and opportunities—companies that offer secure, privacy-focused big data analytics platforms can carve out a strong niche in the market.

Emergence of Real-Time Analytics

Real-time analytics is emerging as a critical capability in today's fast-paced business environment. Whether it's responding to customer inquiries, monitoring production lines, or detecting cyber threats, the ability to analyze data instantly has become a key differentiator.

The Big Data Analytics Software Market is seeing increased demand for solutions that provide real-time processing and visualization. Innovations in in-memory computing, stream processing, and edge analytics are driving this shift, allowing businesses to make timely decisions based on up-to-the-second data.

Opportunities in Emerging Markets

While North America and Europe remain dominant players in the Big Data Analytics Software Market, emerging economies in Asia-Pacific, Latin America, and the Middle East are rapidly catching up. These regions are experiencing digital transformation at an accelerated pace, fueled by investments in IT infrastructure and a growing emphasis on data-centric strategies.

Startups and established vendors alike have opportunities to tap into these markets by offering localized, cost-effective analytics solutions tailored to regional needs. Strategic partnerships, regional data centers, and customized deployment models can help businesses expand their footprint and gain traction in these high-growth regions.

Conclusion: A Market Poised for Sustained Growth

The big data analytics software market is poised for robust expansion, with numerous opportunities emerging from technological advancements, cross-industry adoption, and global digitalization trends. Companies that invest in innovative, scalable, and secure analytics platforms will be well-positioned to lead the next wave of data-driven transformation.

As organizations continue to seek actionable insights from their data, the demand for sophisticated analytics tools will only grow, solidifying the market's role as a cornerstone of modern business strategy. The future holds immense potential for those ready to embrace and innovate within the big data analytics landscape.

4o

[differenttimemachinecrusade]

Big Data and Analytics in GCC Market: Size, Share, Scope, Analysis, Forecast, Growth and Industry Report 2032 – Retail and E-commerce Trends

Big Data and Analytics are transforming the operational frameworks of Global Capability Centers (GCCs) across the globe. As businesses increasingly recognize the pivotal role of data in driving strategic initiatives, Global Capability Centers are evolving into centers of excellence for data-driven decision-making. According to research 76% of Global Capability Centers identified data as a critical area for future growth,

Big Data and Analytics in GCC Market is experiencing rapid growth due to the region’s digital transformation initiatives. Governments and enterprises are leveraging data to drive innovation, optimize services, and improve decision-making. As a result, demand for data-driven strategies is surging across sectors.

Big Data and Analytics in GCC Market continues to evolve with the rising adoption of AI, cloud computing, and IoT technologies. From smart cities to healthcare and finance, businesses in the Gulf Cooperation Council (GCC) are embracing analytics to remain competitive, improve operational efficiency, and enhance customer experiences.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/4716 

Market Keyplayers:

IBM Corporation (IBM Watson, IBM Cloud Pak for Data)

Microsoft Corporation (Microsoft Azure, Power BI)

Oracle Corporation (Oracle Analytics Cloud, Oracle Big Data Service)

SAP SE (SAP HANA, SAP BusinessObjects)

SAS Institute Inc. (SAS Viya, SAS Data Management)

Google LLC (Google Cloud Platform, BigQuery)

Amazon Web Services (AWS) (Amazon Redshift, Amazon EMR)

Tableau Software (Tableau Desktop, Tableau Online)

Teradata Corporation (Teradata Vantage, Teradata Cloud)

Cloudera, Inc. (Cloudera Data Platform, Cloudera Machine Learning)

Snowflake Inc. (Snowflake Cloud Data Platform)

MicroStrategy Incorporated (MicroStrategy Analytics)

Qlik Technologies (Qlik Sense, QlikView)

Palantir Technologies (Palantir Foundry, Palantir Gotham)

TIBCO Software Inc. (TIBCO Spotfire, TIBCO Data Science)

Domo, Inc. (Domo Business Cloud)

Sisense Inc. (Sisense for Cloud Data Teams, Sisense Fusion)

Alteryx, Inc. (Alteryx Designer, Alteryx Connect)

Zoho Corporation (Zoho Analytics, Zoho DataPrep)

ThoughtSpot Inc. (ThoughtSpot Search & AI-Driven Analytics)

Trends Shaping the Market

Government-Led Digital Initiatives: National visions such as Saudi Arabia’s Vision 2030 and the UAE’s Smart Government strategy are fueling the adoption of big data solutions across public and private sectors.

Growth in Smart City Projects: Cities like Riyadh, Dubai, and Doha are integrating big data analytics into infrastructure development, transportation, and citizen services to enhance urban living.

Increased Investment in Cloud and AI: Cloud-based analytics platforms and AI-powered tools are gaining traction, enabling scalable and real-time insights.

Sector-Wide Adoption: Industries including oil & gas, healthcare, finance, and retail are increasingly utilizing analytics for predictive insights, risk management, and personalization.

Enquiry of This Report: https://www.snsinsider.com/enquiry/4716 

Market Segmentation:

By Type

Shared Service Centers

Innovation Centers

Delivery Centers

By Industry Vertical

Banking and Financial Services

Healthcare

Retail

Manufacturing

Telecommunications

By Functionality

Descriptive Analytics

Predictive Analytics

Prescriptive Analytics

Real-time Analytics

By Technology Type

Data Management

Analytics Tools

Artificial Intelligence & Machine Learning

By End-User

Large Enterprises

Small and Medium Enterprises (SMEs)

Market Analysis

Accelerated Digital Transformation: Organizations across the GCC are shifting to digital-first operations, creating vast amounts of data that require robust analytics solutions.

Public and Private Sector Collaboration: Joint efforts between governments and tech firms are fostering innovation, resulting in smart platforms for public services, energy, and education.

Data-Driven Decision Making: Businesses are leveraging data to improve ROI, streamline operations, and personalize offerings—especially in e-commerce, banking, and telecommunications.

Cybersecurity and Data Privacy Awareness: With the increase in data generation, there’s a growing emphasis on securing data through advanced governance and compliance frameworks.

Future Prospects

The Big Data and Analytics in GCC Market is expected to witness exponential growth over the next five years. With increasing internet penetration, 5G rollout, and continued focus on digital infrastructure, data-driven technologies will become even more central to economic and social development in the region.

Talent Development and Upskilling: Governments are investing in training programs and digital literacy to prepare a workforce capable of managing and interpreting big data.

Emerging Startups and Innovation Hubs: The GCC is witnessing a rise in homegrown analytics startups and incubators that are driving localized solutions tailored to regional needs.

AI Integration: The convergence of AI with big data will unlock new insights and automate complex tasks in sectors such as logistics, healthcare diagnostics, and financial modeling.

Regulatory Frameworks: Future success will depend on the creation of robust regulatory policies ensuring data privacy, cross-border data flows, and ethical AI usage.

Access Complete Report: https://www.snsinsider.com/reports/big-data-and-analytics-in-gcc-market-4716 

Conclusion

The Big Data and Analytics in GCC Market stands at the forefront of digital transformation. With strong government backing, sector-wide adoption, and a growing tech ecosystem, the region is well-positioned to become a data-driven powerhouse. As the market matures, the focus will shift from data collection to intelligent utilization—empowering smarter decisions, better services, and sustainable growth across the GCC.

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