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Accessing and storing huge data volumes for analytics was going on for a long time. But ‘bigdata’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of bigdata as the 3Vs. However, bigdata analytics and using bigdatatools must be learned.
Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of bigdatatools which enhances your problem solving capabilities. Networking Opportunities: While pursuing bigdata certification course you are likely to interact with trainers and other data professionals.
Many organizations across these industries have started increasing awareness about the new bigdatatools and are taking steps to develop the bigdata talent pool to drive industrialisation of the analytics segment in India. ” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner
If your career goals are headed towards BigData, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the bigdata certifications. Acquiring bigdata analytics certifications in specific bigdata technologies can help a candidate improve their possibilities of getting hired.
Is Data Analyst Certification worth it? In my opinion, Data analyst certification is definitely worth it. According to recent assessments, 90% of all bigdata has been produced in the last two years. As a result, there is a growing demand for people who can assess and analyse data.
Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Datamining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.
Ace your bigdata interview by adding some unique and exciting BigData projects to your portfolio. This blog lists over 20 bigdata projects you can work on to showcase your bigdata skills and gain hands-on experience in bigdatatools and technologies.
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