Learn About Big Data Certification

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Companies are banking on big data now more than ever, but as big data spaces expand and evolve at a rapid pace, certifications need to adapt. Many programs update their content as changes in the industry happen and require periodical re-exams—usually every three years. It’s a worthy endeavor. Getting certified, no matter your field, proves to employers you have the right skills and can apply them when it matters the most.

Whether you are just starting out or planning a career change, consider 11 of the best big data certifications available.

1. CCAH

Once you have the Cloudera Certified Administrator for Apache Hadoop certification, you can show you have technical knowledge and skills to work with an Apache Hadoop cluster. Pick up skills in Hadoop cluster installation and administration as well as the Hadoop Distributed File System (HDFS). You need to score above 70% to pass the exam, which has 60 questions and takes 90 minutes.

2. CCP: DS

Three exams make up the full course to earn the Cloudera Certified Professional: Data Scientist certification. You need to take all three in no particular order within 365 days. Common skills include extraction of features from datasets with different forms of noise—errors, partial records, or bad records. You’ll work with data stored in a range of formats such as JSON, XML, and graph-link data. Candidates develop a data science solution, and accuracy, robustness, and scalability are ensured through a peer-review system.

3. CCP: Data Engineer

Show off the technical skills employers seek the most with the Cloudera Certified Professional Data Engineer certificate that builds on the CCP Data Scientist program. Work in a hands-on environment and use whichever tools you need on a cluster to solve customer problems.

4. EMCDSA

You can participate and contribute as a data science team member on big projects after securing the EMC Data Scientist Associate certification. With your skills, you’ll be able to:

  • deploy the Data Analytics Lifecycle.
  • reframe a business challenge as an analytics challenge.
  • apply analytic techniques and tools to analyze big data.
  • create statistical models.
  • select the appropriate data visualizations.

5. CAP

You need to meet education and experience conditions to sign up for the Certified Analytics Professional certification. The program focuses on several key domains of the analytics process. These include framing analytics and business problems, selection of methodologies, model construction, and lifecycle management.

6. HP Vertica Big Data: ASE

Search any tech job board, and it’s obvious HP’s Vertica Analytics Platform is used extensively. The HP Vertica Big Data Accredited Solutions Expert certification targets database administrators and tests their abilities to diagnose and troubleshoot problems. You also become better at optimizing Vertica performance. Advanced tasks involve database tuning and manual projection design. There’s a cloud-based exam followed by a written exam via Pearson VUE testing.

7. Big Data & Analytics V1

The IBM Certified Solution Advisor: Big Data & Analytics V1 certification shows you understand the basic concepts of big data and analytics. You’ll be able to identify customer requirements and suggest the best solutions. Skills covered include:

  • design principles in big data and analytics solutions
  • architectures
  • processes
  • maturity and adoption models

Knowledge of IBM products is recommended but not required. The IBM Certified Solution Advisor for Big Data and Analytics two-day boot camp can help you prepare for the exam.

8. OBI: Foundation Suite 11g

Show how you can apply solutions after you take the Oracle Business Intelligence: Foundation Suite 11g program that falls under Oracle’s Middleware and Java certification path. Develop skills to build and install BI solutions, build BI dashboards, and define security settings. The course is geared towards members of the Oracle Partner Network.

9. SAS Certifications

Any SAS certification deserves attention. For data analytics, SAS offers the Business Intelligence Content Developer (SAS 9) certification. Knowledge and skills of SAS Enterprise Miner 13 are essential for candidates who want to become an SAS Certified Predictive Modeler. Candidates need to build and assess predictive models, score new data sets, and prepare data.

Statisticians will be interested in becoming a SAS Certified Statistical Business Analyst. Logistic regression, ANOVA, and predictive modeling are tested in this exam.

10. MCSE: Business Intelligence

Individuals who pass the MCSE: Business Intelligence exams qualify as BI and reporting engineers. The credential shows you have the skills to design and build data solutions and implement them across an organization without problems. There are five exams related to Microsoft SQL Server 2012. If you pass the first three exams, you qualify as a Microsoft Certified Solutions Associate (MCSA) with SQL Server 2012 certification. The final two exams earn you the MCSE: Business Intelligence certification.

11. Data Mining and Applications Graduate Certificate

This college-level Data Mining and Applications Graduate certificate from Stanford University introduces key ideas in data mining and machine learning. It shows how concepts can be applied to business, science, and technology, and it ranks high in terms of popularity and job prospects.