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Six Niche Big Data Certifications

Sometimes you have to step off the beaten path to find the right certification. Let's take a look at the world of Big Data certifications, and see which certs some people may be overlooking.

The right Big Data certification can lead to a great job.Small, medium, and large enterprises the world over are transforming themselves digitally as they focus on mining data to improve decision-making and sharpen business strategy. Thus, current demand for specialists who know how to manipulate data is quite robust.

 

It’s not surprising that Data Scientist is currently one of the top jobs in America. In January 2019, Glassdoor reported that Data Scientist was the best job in America for the fourth year in succession.

 

A recent Forbes article by Gil Press cites twp significant business developments in the Big Data space: Google’s and Salesforce’s announcements of their plans to acquire, respectively, Looker, a start-up focused on data discovery and analytics, and data visualization and analytics company Tableau. This indicates the growing importance of data analytics as more and more enterprises move to the cloud.

 

Specialization in a particular area is a good way to advance your career. Once you’ve worked with data for two or three years, you should decide what you want to specialize in. Database managers, architects, or administrators are responsible for storing, maintaining, and moving big data sets in order to facilitate data analysis.

 

Data analysts study data to discern patterns and derive inferences. Business intelligence specialists analyze data and present information to CEOs and managers to enable informed decision making.

 

The right certification can help demonstrate required skills and add value to your resume. There are several niche data certifications available today, some of which have a hands-on emphasis while others are concept-based. The certifications listed below will suit experienced professionals aspiring to concentrate on the area that most interests them.

 

Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics

 

The MCSE: Data Management and Analytics certification validates database administration and analytics skills using SQL Server technology for cloud and enterprise data centers. This credential is suitable for those aspiring to work as database analysts and designers, and business intelligence analysts.

 

To earn the MCSE certification, you need to earn an MCSA in SQL Server 2012/2014, or SQL 2016 Database Administration, Database Development, BI Development, Machine Learning, BI Reporting or Data Engineering with Azure, and pass one of these exams: Exam 70-464, or Exam 70-465, or Exam 70-466, or Exam 70-467, or Exam 70-762, or Exam 70-767, or Exam 70-768, or Exam 70-777.

 

After you earn the MCSE, you will need to pass one of the specified exams each year to maintain your certification. To prepare for the exam, you can opt for self-paced learning, instructor-led training, practice tests, video-based training, and community support.

 

SAS Certified Data Scientist Using SAS 9

 

This certification demonstrates the ability to manipulate large data sets and derive insights using a range of open source and SAS applications. You’ll also verify your ability to provide business recommendations, as well as implement machine learning models at scale using the SAS platform.

 

To earn the SAS Certified Data Scientist Using SAS 9 accreditation, you need to earn the SAS Certified Big Data Professional and SAS Certified Advanced Analytics Professional credentials. This requires passing five exams, two for the SAS Certified Big Data Professional credential and three for SAS Certified Advanced Analytics Professional.

 

Preparation options include practice exams and an official course from the SAS Academy for Data Science for those who need professional guidance. You can also join the SAS certification community. SAS currently offers versioned credentials, which do not expire; however, certain exams may be retired if new or upgraded software makes that necessary.

 

AWS Certified Big Data – Specialty

 

The AWS Certified Big Data – Specialty certification is designed for professionals who have a background in AWS Big Data solutions, with a minimum of two years practical experience using AWS to analyse complex Big Data sets. This credential validates the holder’s expertise in implementing fundamental AWS Big Data services in line with architecture best practices, designing and managing Big Data, and automating data analyses.

 

Amazon recommends aspirants earn an AWS Certified Cloud Practitioner, or AWS Certified Solutions Architect – Associate, or AWS Certified Developer – Associate, or AWS Certified SysOps Administrator – Associate before preparing for a specialty accreditation. Amazon also recommends at least five years of practical experience in a field of data analytics, with a background in AWS Big Data services architecture.