Blogs

Microsoft's SQL Server platform left behind IBM a few years ago to take second place in DBMS market share (As per Gartner's Magic Quadrant for Operational Database Management Systems), and it ranks third in overall database engine popularity as of October 2016.

SQL Server offers a wide variety of tools and add-ons for business intelligence, data warehousing and data-driven applications of all types. That probably explains why Microsoft offers database-related credentials at every level of its certification program, from the Microsoft Technology Associate (MTA) all the way to the Microsoft Certified Solutions Expert (MCSE) program.

In September 2016, Microsoft announced significant changes to its certification program, adding five new certifications to the MCSE and Microsoft Certified Solutions Developer (MCSD) programs alone. These certifications are designed to support Windows Server 2016 and Microsoft SQL Server 2016, among other technologies.

Every business has one thing common in the mission, boost bottom-line, and organizations are consistently evaluating the trends to find out how they can achieve the same. The recent searches show that the use of Big Data Analytics is possibly the hottest skills dominating the job markets globally. As per the recent survey was done by the leading job survey organization, the domain is yet not explored even 10%, so the scopes are wide and bright, not only that, the pay scale is also wonderful.

There is nothing new that, Big Data is everywhere, and it is growing. The thing is once you begin to understand it; you see an enormous amount of data floating everywhere. It aids in developing business, decision makings and rendering the key edge over the competitors. As a result, there is an extremely large demand of folks with expertise to help, analyze and manage companies using this data successfully. Those who are trained in this area, there is a huge opportunity out there.

Let’s take a look at the reasons why making a career in Big Data would be the best decision:

How to start with an analytical career? Am I making a right choice? These were million dollar questions for me when I have first time think of becoming an analytics professional. Ages have passed and the questions remain the same, as many of the aspirants keep popping the same question in many of the seminar I took.

Let me answer those by below one liner from one of giant, Salesforce, Salesforce (NYSE: CRM) estimates adding analytics and Business Intelligence (BI) applications will increase their Total Addressable Market (TAM) by $13B in FY2014. (Source: Forbes)

89% of business leaders believe Big Data will revolutionize business operations in the same way the Internet did. (Source: Wikibon)

Let us start with, what is SAS, more importantly, why SAS?

If you are a programmer, you must be knowing, what UNIX is for the modern IT industry? SAS can be described same as UNIX for Programming and IT. This is the software where whole analytics industry was built around and SAS has 55 to 60 % of market share which roughly makes around $20 billion (US).

Be Familiar with Programming workspace

First thing first, lets us become familiar with SAS workspace. The SAS environment is designed to be easy to use, with windows for accomplishing all the basic SAS tasks. After you become familiar with the starting points for your SAS tasks, you are ready to use the full range of capabilities that SAS offers.

Below shown is the method for you to use SAS windows to manage your SAS session, to work with files, and to process SAS programs.

Here we have gathered some information for those students who have just started the journey of becoming SAS certified programmer. Believe me, when I have started my studies, this took almost a week of search on web and tons of reference books. Just putting all my research paper here for you guys. As a fresher programmer to understand the following basic point about SAS Programming console was a challenge.

Components of SAS Programs

SAS programs consist of two types of steps: DATA steps and PROC (procedure) steps. These two steps, alone or combined, form most SAS programs. SAS program can consist of a DATA step, a PROC step, or any combination of DATA and PROC steps. DATA steps typically create or modify SAS data sets, but they can also be used to produce custom-designed reports. PROC steps are pre- written routines that enable you to analyze and process the data in SAS data set and to present the data in the form of a report. PROC steps sometimes create new SAS data sets that contain the results of the procedure.