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Kumar Chinnakali
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  • Chennai, Tamilnadu
  • India
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Kumar Chinnakali's Page

Profile Information

Short Bio
Consultant
My Web Site Or LinkedIn Profile
http://in.linkedin.com/in/kumarchinnakali
Field of Expertise
Analytics, Data Integration, Visualization, BI, Other, Big Data, Data Science
Professional Status
Consultant
Years of Experience:
9+
Your Company:
Infosys
Industry:
Manufacturing, Media
How did you find out about DataScienceCentral?
Internet
Interests:
Finding a new position, Networking, New venture, Recruiting, Other
What is your Favorite Data Mining or Analytical Website?
http://twdi
What Other Analytical Website do you Recommend?
http://datameer

Kumar Chinnakali's Blog

Functions for basics statistics in R

Posted on January 30, 2016 at 2:30am 0 Comments

How to have our basic statistics (Mean, Median, SD, Var, Cor, Cov) computed using R language?

The dataottam team has come up with blog sharing initiative called “Celebrate the Big Data Problems”. In this series of blogs we will share our big data problems using CPS (Context, Problem, Solutions) Framework.

Context:

In statistics Mean, Median, Standard Deviations, Variance, Correlation, or…

Continue

9 Key Benefits of Data Lake

Posted on January 28, 2016 at 6:30pm 0 Comments

A Data Lake has flexible definition, to make this statement true the dataottam team took initiative and released a eBook called “The Collective Definition of Data Lake by Big Data Community”, which contains many definitions from various business savvy and technologist.

And in nutshell Data Lake is a data store and processing data system, where an…

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Self-Learn Yourself Apache Spark in 21 Blogs – #5

Posted on January 23, 2016 at 3:32am 0 Comments

In Blog 5, we will see Apache Spark Languages with basic Hands-on. Click to have quick read on the other blogs of Apache Spark in this learning series.

With our cloud setup of our Apache Spark now we are ready to develop big data Spark applications. And before getting started with building Spark applications let’s review the languages which can be used to develop Apache Spark applications. It has many APIs like Scala, Hive, R, Python, Java, and Pig.

Scala – It’s the language…

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Celebrate the Big Data Problems – #2

Posted on January 21, 2016 at 7:41pm 0 Comments

Celebrate the Big Data Problems – #2

How to identify the no of buckets for a Hive table while executing the HiveQL DDLs ?

The dataottam team has come up with blog sharing initiative called “Celebrate the Big Data Problems”. In this series of blogs we will share our big data problems using CPS (Context, Problem, Solutions) Framework.

Context:

Bucketing is another…

Continue

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