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Kumar Chinnakali's Page
Profile Information
- Company:
- Infosys
- Seniority:
- Student, Consultant
- Job Function:
- Big Data, Data Science, Business Analytics, Data Integration, Storage, Cloud, Data Mining, Analytics
- Industry:
- IT
- Short Bio:
- Goal: Make Big Data & Cloud the Lifeblood of Enterprises and I want to ensure I'm at my best when coaching the next person who needs it.
Consultant in a wide variety of business applications. Particularly interested in Big Data & Cloud Computing design using Hadoop & other open source distributions.
Always interested in Consulting & System integration projects, as well as close interaction with the auto manufacturing industry for a broad range of business benefits.
Interested to reveal insight from all types of data, from all types of systems with Hadoop Eco system, which redefines the economics of data: keep everything, forever and Instant.
Specialties: Contribution, Collaboration for Unit & Organizations initiatives.
Understanding customer issues to diagnose problems.
Design solutions to facilitate deployment.
Lead projects
- LinkedIn Profile:
- http://in.linkedin.com/in/kumarchinnakali/Edit
Kumar Chinnakali's Blog
Data Lake Architecture Considerations & Composition
Posted on February 13, 2016 at 10:42am 0 Comments 0 Likes
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…
ContinueTop 10 Pointers in New Apache Spark 1.6 Release
Posted on January 5, 2016 at 8:05pm 0 Comments 0 Likes
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…
The Collective Definition of Data Lake by Big Data Community
Posted on December 2, 2015 at 6:00am 0 Comments 0 Likes
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
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