The global big data market size is expected to grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 10.6 percent.
Big data is indispensable to the industries, which are looking for important insights to stay ahead. Every industry has a huge amount of data, which they don’t understand what to do with. The requirement for big data professionals in these industries has increased because only they can understand the data.
Individuals who choose a career path in data analytics and mining can prove their skills in big data platforms by getting certifications through learning institutions. The demand for big data certifications has increased, as they are considered a benchmark to evaluate the skills.
In this article, let’s know the top big data certifications, which are in high demand.
Data Science Council of America (DASCA) certifications
DASCA is a professional organization that offers industry standards big data scientist certification programs. DASCA certifications are mainly designed to fit the certain job roles such as market researchers and software engineers. DASCA offers six professional certifications with exams:
· Microsoft certification
The Microsoft Certified Solutions Expert (MCSE) in Data Management and Analytics puts an emphasis on SQL database administration, leveraging Business Intelligence (BI) data, Machine Learning, and building enterprise-scale data solutions, in both cloud-based and on-premises environments. Once an individual receives an MCSE certificate, they will be eligible for jobs such as:
a) Business Intelligence Analyst
b) Database Designer
c) Database Analyst
· INFORMS certification
INFORMS offers the Certified Analytics Professional (CAP) credential, which gives end-to-end knowledge of the 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. It is a computer-based exam and to qualify for the 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.
· SAS certification
SAS offers multiple certifications, which are mainly focused on SAS products. One among them is SAS Certified Data Scientist. To get this data science certification 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 certification
Cloudera offers Certified Professional (CCP) Data Engineer certification, which 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 certifications.
· Oracle certification
Oracle offers Business Intelligence (BI) 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.
· Dell EMC Education Services certification
The Dell EMC Education Services offers 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 data science certification.
· MongoDB certification
The MongoDB offers Developer Associate certification which is very helpful for big data projects. The participants can prepare for this certification using MongoDB online training programs. The participants knowledge will be tested on MongoDB fundamentals, horizontal scaling, disaster recovery, fault tolerance. There are no specific pre-requisites to take this certification. This certification is best for those individuals who want to prove their ability to work on big data in a NoSQL platform. Certified Developer
The need for big data professionals is always increasing. One can say that there has been never a better time to be a big data professional. By taking up any of the aforementioned certifications, one can take their career to the next level as the candidates will gain expertise in a specific area or platform. The skills one will attain by doing these certifications will benefit even the employers. Certifications help to set standards for the professional expertise.