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[dicecamp]

SQL Server is quickest way to your Data Analytics journey, says expert

SQL server tools get you through the whole, end-to-end ‘data ecosystem’; where you learn data engineering, data warehousing, and business intelligence all in single platform

Microsoft SQL Server is currently leading the RDBMS market with its tremendously diverse tools and services for data analytics. Whether it’s data management, analysis or reporting, you get all in one package, that too for free.

Given that SQL server provides an end-to-end exposure to the whole data ecosystem, learning SQL server is the quickest path to your data analytics journey..

Note: This career advice is for newbies just starting their analytics journey, as well as for technical geeks who wish to opt for SQL server job roles.

Table of contents

Data Ecosystem and SQL Server Tools

How can SQL Server help me begin a Career in Data Analytics?

Career Tracks to target a job role

Learn SQL Server Tools

Watch Webinar!

Data Ecosystem and SQL Server tools

Data ecosystem is the backbone of any organization’s data analytics project. 

Simply put, a data ecosystem documents and presents infrastructure and applications for data storage and processing. 

Any data ecosystem portrays four to five stages of data, depending on the organization’s objectives. 

Starting off, a data expert always needs to collect data from the vast sources of the organization. This includes, website data, SaaS applications, IoT devices, CRM, ERP etc.

Next, all of the data from diverse sources is gathered over a common place through a process called ingestion.

Integrated on a single database, this data needs to be cleaned, transformed and organized into a universal format (data harmonization) to avoid misalignment across the ecosystem. 

This process is called data warehousing (aka data engineering).

Optional is to further enrich data using machine learning technology. One of the main data science job roles is to apply predictive analytics at this stage.

Finally, at the last stage, data is analyzed and presented to business users for value driving and decision making. A BI developer or engineer is specialized to handle data visualization at this stage.

SQL Server tools and services offer a low code environment to all of the above steps and therefore quickly and easily helps to build an end-to-end data ecosystem for an organization. 

The tools and services can be broadly classified as data management and business intelligence (BI) functionalities.

For data management, SQL Server provides SQL Server Integration Services (SSIS), SQL Server Data Quality Services, and SQL Server Master Data Services. 

SQL Server provides SQL Server Data tools for building a database. And for management, deployment, and monitoring the platform has SQL Server Management Studio (SSMS).

SQL Server Analysis Services (SSAS) handle data analysis. 

SQL Server Reporting Services (SSRS) are used for reporting and visualization of data. 

Earlier known as the R services, the Machine Learning Services came as part of SQL Server suite in 2016 and renamed afterwards. 

How can SQL Server help me begin a Career in Data Analytics? 

When you learn SQL Server, it exposes you to the complete data ecosystem. This helps you in your career advancement in two ways.

Access to the vast SQL Server jobs

Microsoft SQL Server currently stands at 3rd rank (after Oracle and MySQL) in the world’s most used commercial relational databases. This is because Microsoft offers an intensely feature-rich version of SQL Server for free.

This makes SQL server skills one of the most in-demand across the data analytics ecosystem.

Tip: For newbies, and those with career transitions, if you want to land on an analytics job quickly, learning SQL server tools is a smart idea since the job market is lucrative. 

Further, once in, as you move along in your career we recommend growing your skill set and ascending towards more specific job roles, for example, data engineer and BI developer. 

Career Tracks to target a job role

Once you get a grab of the end-to-end data analytics ecosystem, now it’s a step to move forward in your analytics journey.

But why?

Data analytics is a broad field, and carries lucrative job opportunities in the form of various job roles available in the market.

Moreover, given a myriad of job roles, you can opt for a career in the field of your interest.

What are the career tracks when I work with SQL server? 

Become a Data Engineer

Once getting to know what data engineering holds, you can now opt for a vendor specific data engineering skills. 

For example, Teradata is a market leader in on-premise data warehousing solutions. Learning data engineering on Teradata will offer bright career prospects in the data analytics field.

While SQL Server and Teradata RDBMS have a data architecture built for small scale data, when it comes to data volumes up to petabytes size, these solutions don’t work. 

Thus a data engineer can move to learning big data technology that holds even brighter career prospects (read about the blooming big data market forecast).

Become a BI Developer/BI Engineer

This job role narrows to the data visualization, and reporting only. A BI developer is expert in BI tools such as Power BI and Tableau.

As a next step, a BI Developer can also opt for no code/low code Data Science using Knime.

Become an ML Engineer

A Machine Learning engineer uses ML technology to employ predictive analytics and finds out future trends and patterns within data.

The requirement for an ML engineer is to understand how databases and data warehousing works, and needs to build a strong foundation in that.

Next, you can opt for Deep Learning in your career journey for better positions in large enterprises. 

Become a Data Analyst

After getting to work with SQL server tools, you can also opt data analyst as your career choice. This requires you to build expertise in BI tools such as Power BI and Tableau.

The next step for career advancement is to learn Business Analytics that deals with business data and marketing analytics.

You might want to view Business Analytics career prospects and salary in Pakistan.

Interested in Learning SQL Server Tools? 

Dicecamp offers an 8 weeks course* on Learning SQL Server Tools.

The course covers four tools; SQL Server Integrated Services (SSIS), SQL Server Management Services (SSMS), Azure Cloud, and Power BI.

You will learn:

SQL hands-on 

DWH building using SSIS

Data Management using SSMS

AZURE SQL CONFIG, DTU basics

DAX implementation in Power BI

Data visualization in Power BI

Visit complete course outline and registration details here.

*We offer flexible pricing and valuable concessions.

Straight from the Horse’s Mouth!

The instructor of this course is Mr. Abu Bakar Nisar Alvi who’s Pakistan’s celebrated engineer awarded Tamgha e Imtiaz (fourth highest civil rank) for his excellent engineering performance back in 2005. 

Mr. Alvi serves as a senior IT consultant at the World Bank with key experience in enabling digital transformation as part of the village service delivery in Indonesia. 

Taking two decades of experience and vast work diversity, Mr. Alvi is now associated with Dicecamp as a lead trainer Data Analytics and Visualization.

Webinar: Watch him speaking on ‘Why to Learn SQL Server Tools’ in the latest webinar (LinkedIn Webinar Link).

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[careerist-learning]

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Career Test

7 Criteria for Deciding Which Career Test Is Right for You - One of the best ways to determine your career direction is to complete a career assessment. Yet there are literally hundreds of career tests out there. Is a career test the same as an aptitude test? What about a career personality test? This article clarifies the differences and presents 7 criteria for deciding which career test is best for you. “I used to feel depressed at work, hate my boss, and was sometimes so bored that I actually fell asleep at my desk!” --- career test taker If this sounds like you, then it’s probably time to consider changing jobs or careers. But before you can make your career change, you need to figure out what you want to do. One of the best ways to get clear is to complete a career assessment. Yet there are literally hundreds of career tests out there. Is a career test the same as an aptitude test? What about a career personality test? This article clarifies the differences and presents 7 criteria for deciding which career test is best for you. #1 Career test vs. personality test Is the assessment specifically designed to provide career guidance? Personality tests only tell you about your character traits whereas a career assessment gives specific career advice. Of course, it helps to know whether you’re an extrovert or an introvert and perceive by sensing or intuition. Personality tests such as the Myers Briggs Type Indicator (MBTI) and the Enneagram are quite useful as background information. Making the leap from simple awareness of your personality type to specific career strategies is very difficult, however. If you want a new job or career, it’s better to take an assessment that is specifically geared to providing career guidance. #2 Specific vs. general Does the career assessment give concrete recommendations that you can use immediately rather than vague observations that are open to interpretation and not actionable? Aside from the change itself, the hardest part of changing careers is narrowing down your choices. But if you don’t get specific, you won’t be able to take action. A good assessment should not be general like the astrological horoscopes in the newspaper. #3 Motivation rules: why motivation is a better indicator than aptitude or personality Does the career assessment measure motivation? Motivation is a far better career indicator than skill or personality because what you like to do is what you WILL do and what you will get very good at (if you aren't already). Why force a square peg into a round hole? When you base your decisions on what motivates you, you'll probably feel much more fulfilled, and be much more successful, too. #4 Where’s the beef? Even if you’re a vegetarian, you’ll want “meaty” results! A good career assessment should include hard data, as well as sufficient detail and explanation to help you interpret the results. #5 Do you believe it? Is the career assessment scientifically valid? An effective career assessment should have a high predictive reliability. Such things can be measured statistically. Anything over 95% is quite good. Statistical validity is important for a number of reasons. Obviously, you want to feel that the assessment provides an accurate picture of what motivates you and you don’t want to be misled by grossly inaccurate results. But another point is that when the results are believable this provides a boost to your self-confidence. In my case, I was relieved and encouraged to see from my results that I had chosen the correct career path. It was a kind of confirmation or validation: “Whew! What a relief!” Remember that ultimately it’s up to you to decide whether a set of results makes sense or not. However, it helps to use a highly reliable assessment. #6 Can you get from A to Z? Are additional tools available to help you take your results and develop a clear career roadmap for yourself? Honestly, a lot of people take career tests and get brilliant insights. Unfortunately, many of these same people are never able to turn their insights into results. What’s needed is a support infrastructure of materials and people to help you apply your results over time. #7 Is it fast? Even in the internet age, there still are a lot of tests that you can only take on paper. It takes 30 minutes or even over an hour to take the test. Then you have to wait while the test is scored and processed. You may only get your results after several days or weeks. Personally I prefer career tests that I can take online and that give me my results immediately. Conclusion A career test is just a tool and just one step on your career change journey. Nonetheless, it’s worth spending some time to understand what types of tests are available and which is best for you. Just remember that even the best career test is only a tool. It’s up to you to take charge of your own career. Read the full article

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[brainlurnconsultancy]

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