Big data is the most useful for several industries in the current world that are looking for essential insights to stay ahead. Each industry has a massive amount of data that they don’t understand what to do with. The need for big data professionals who has done Big Data Certification in these industries has enhanced because only they can understand the data well and what to do with it.
Individuals who choose a career path in big data science can prove their skills in big data platforms by getting certifications through learning institutions. The demand for big data certification online has increased, as they are considered a benchmark to evaluate the skills of an individual
In this article, let’s know the top big data certifications, which are in high demand.
· Certified Analytics Professional (CAP)
The Certified Analytics Professional (CAP) credential gives end-to-end knowledge ofthe analytics methods that consists of model building, framing business, analytic issues, deployment, methodology, acquiring data, and lifecycle management. It is designed for data analytics professionals who are in their early or mid-career and is valid for three years, after this duration one can renew it. To qualify for big data certification online exam, applicants need at least a bachelor’s degree in a field related to data analytics and three to seven years of relevant professional experience based on an individual’s area of expertise. This certification is from INFORMS, and it is a computer-based exam.
· Data Science Council of America (DASCA) Certifications
DASCA is a professional organization that offers industry standards Big Data Certification programs. DASCA big data certification online are mainly designed to fit the certain job roles such as market researchers and software engineers. DASCA offers six professional big data science certifications with exams:
- Associate Big Data Engineer (ABDE™)
- Senior Big Data Engineer (SBDE™)
- Associate Big Data Analyst (ABDA™)
- Senior Big Data Analyst (SBDA™)
- Senior Data Scientist (SDS™)
· SAS Certified Data Scientist
SAS offers multiple certifications, which are mainly focused on SAS products. To get the Big Data certification in SAS Certified Data Scientist, the candidates are required to qualify for the five exams assessing their big data and analytics proficiency. The assessment involves proven knowledge in the machine learning, big data manipulation, open-source tools, and other business intelligence processes. This certification has no expiration and there are no specific prerequisites.
· Cloudera Certified Professional (CCP) Data Engineer
Cloudera Certified Professional (CCP) Data Engineer gives the applicants the knowledge to develop autonomous, reliable, and scalable data pipelines which result in data sets optimized for various workloads. The test needs the applicants to complete the performance-related tasks with sample large data sets. Cloudera’s certifications give a platform for study courses and testing. They also offer matched preparation classes for certain tests to help candidates score higher in their chosen big data science certifications.
· Oracle Business Intelligence Certification
Oracle offers Business Intelligence (BI) Big Data Certification across various platforms that include Business Intelligence Applications 7 for CRM, Business Intelligence Applications 7 for ERP. This certification is designed for those professionals, who work in the Oracle Partner Network. There are no pre-requisites for this certification. The certification offers skills that include installing OBIEE, building BI dashboards, BI Server metadata repository, constructing ad-hoc queries, defining security settings, managing and configuring cache files.
· EMC Data Science and Big Data Analytics Certification
The EMC Data Science and Big Data Analytics Certification examine the in-depth knowledge of an individual in data analytics. The exam mainly focuses on the analyzing and exploring data with R, data analytics lifecycle, creating statistical models, choosing the right data visualization tools, and applying various analytic techniques, Data Science aspects like natural language processing, random forests, logistic regression. There are no specific pre-requisites to take this big data science certification.