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BigData Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of datapipelines while also managing the data sources for effective data collection.
Statistical Knowledge : It is vital to be familiar with statistical procedures and techniques in order to assess data and form trustworthy conclusions. DataMining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in datamining techniques and Extract, Transform, Load (ETL) processes is required.
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 bigdataskills and gain hands-on experience in bigdata tools and technologies.
Some amount of experience working on Python projects can be very helpful to build up data analytics skills. 1) Market Basket Analysis Market Basket Analysis is essentially a datamining technique to better understand customers and correspondingly increase sales.
Having multiple hadoop projects on your resume will help employers substantiate that you can learn any new bigdataskills and apply them to real life challenging problems instead of just listing a pile of hadoop certifications. Get started now on your bigdata journey. What is Data Engineering?
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