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Kumar Chinnakali's Blog (3)

Data Lake Architecture Considerations & Composition

In our last blog we saw the key benefits of Data Lake, but let’s deep dive in to the internals of a Data Lake via discussing the key considerations and compositions.

Architecture Considerations

Take in any solution considerations it is practical difficult to arrives with a one-size-fit-all architecture; hence it applies for a Data Lake too. Hence the Data Lake architecture considerations…

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Added by Kumar Chinnakali on February 13, 2016 at 10:42am — No Comments

Top 10 Pointers in New Apache Spark 1.6 Release

In this new year 2016, we should be excited that Apache Spark community have released and announced the availability of Apache Spark 1.6, which is the 7th release on the 1.x line.

  • Committers – Contributors to Spark had crossed 1000, which is doubled.
  • Patches – Apache Spark 1.6 version includes & covers 1000 patches.
  • Run SQL query on files – This feature helps user and application to…
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Added by Kumar Chinnakali on January 5, 2016 at 8:05pm — No Comments

The Collective Definition of Data Lake by Big Data Community

Yes, we are marching towards New Year 2016!  What happened to Resolution of 2014, 2015? Quit Habits? Practice Habits? Road ahead? Am into all, but i could not able to keep it up. Hence this New Year 2016 is no more resolutions, just implement the plan.

Extend to that, as we know big data is bringing more business value to enterprise by leveraging the data lake. Data Lake..... What is that? Data Lake is loosely defined word and the definition gets changed during implementation…

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Added by Kumar Chinnakali on December 2, 2015 at 6:00am — No Comments

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