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The open source framework hadoop is somewhat immature and big data analytics companies are now eyeing on Hadoop vendors- a growing community that delivers robust capabilities, tools and innovations for improvised commercial hadoop big datasolutions. billion by 2020. billion by 2020.
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You should be able to work on complex projects and design and implement datasolutions. The next stage is to work as a Senior Data Engineer – After you gain expertise in multiple programming languages, databases, and big data technologies, you should be able to work on complex datasolutions.
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. - 12, May 2015, TheInquirer These are just some of the unusual innovative bigger big datasolutions. Big data goes beyond the limited functionalities as various vertical business domains enter the big data market with more unusual big data applications.
With the use of various SQL-on-Hadoop tools like Hive, Impala, Phoenix, Presto and Drill, query accelerators are bridging the gap between traditional data warehouse systems and the world of big data. 2) Big Data is no longer just Hadoop A common misconception is that Big Data and Hadoop are synonymous.
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billion by 2020 with North America alone, being the highest revenue generating region, with a value of $11.6 However, the lack of awareness about the technology and lack of skilled personnel are major roadblocks hindering the growth of HDaaS market as enterprises rethink on investing in Hadoop based big datasolutions.
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