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Now, in the era of bigdata, Hadoop has inspired the growth of its ecosystem with powerful front ends and extensions like -Lens, Twill, Kylin, etc.Apache Hadoop ecosystem is growing rapidly. Source:[link] Have Your Cake And Eat It: BigData Without Hadoop. Forbes.com,September 19,2016.
.” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner Gartner report on bigdataskills gap reveals that about 2/3 rd of bigdataskill requirements remains unfilled and only 1/3 are met. These average salaries are merely bigdataskills like hadoop and spark.
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But when you browse through hadoop developer job postings, you become a little worried as most of the bigdata hadoop job descriptions require some kind of experience working on projects related to Hadoop. Hadoop projects for beginners are simply the best thing to do to learn the implementation of bigdata technologies like Hadoop.
This is the skills recommendation for an existing Hadoop developer who has created an amazing profile in LinkedIn Having the relevant known bigdataskills listed on your LinkedIn profile will let your connections endorse you for these skills.
If you are working with a company which deals with BigData analytics, or if you have a graduate degree in bigdata then it is natural that you will question the need to take a BigData Certification. Learn Hadoop to become a Microsoft Certified BigData Engineer.
BigData Analytics tackles even the most challenging business problems through high-performance analytics. So Doug decided to name his software project after his daughters toy “Hadoop” Build an Awesome Job Winning Project Portfolio with Solved End-to-End BigData Projects Who invented Hadoop?
Hadoop is expected to be the hottest new IT skill, read on to understand why Hadoop Certification and online hadoop training is essential for individuals to accelerate their bigdata career. Bigdata success requires hadoop professionals who can prove their mastery with the tools and techniques of the Hadoop stack.
Knowledge and experience with either of these tools will lead to developing skills in BigData handling and management. Some organizations may look for skills in BigData management or specifically Apache Spark.
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.
Exploring various bigdata projects gives a better idea of where your interests lie while working with different analytics tools. It helps to build a job-winning data analytics portfolio and sets you apart from other candidates while applying for a job.
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.
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