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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.
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…Continue
Added by Kumar Chinnakali on February 13, 2016 at 10:42am — No Comments
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.
Added by Kumar Chinnakali on January 5, 2016 at 8:05pm — No Comments
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…Continue
Added by Kumar Chinnakali on December 2, 2015 at 6:00am — No Comments