Kannappan Sirchabesan
3 SlideShares 8 Followers 58 Followings
Personal Information
Organization / Workplace
London, United Kingdom United Kingdom
Occupation
Data Science and Big Data
Industry
Technology / Software / Internet
About
Problem Solver. Python/Hadoop Coder. I have done end to end work involving development, administration and Data Science in Big Data. I have set up Hadoop clusters, built ETL pipelines by writing MapReduce/Spark code and have worked on data science problems. I have used a variety of technologies including Spark, Hive, Pig, HBase, R, etc. I look at Big Data everyday and use map reduce features of Hadoop to solve big data problems and extract useful information from them. I have done expert work in search quality by analyzing millions of queries searched by users everyday. Here are some Data Science problems I have worked on solving so far 1) Understand the relationships between users wh...
Contact Details
Tags
newbie pycon python programming pycon2010
See more

Presentations

(2)

Hadoop Technologies

13 years ago • 5777 Views

PythonIntro_pycon2010

13 years ago • 435 Views

Documents

(1)

MMDS Certificate

8 years ago • 342 Views

Likes

(24)
See all

Netezza Architecture and Administration

Braja Krishna Das • 7 years ago

Netezza Deep Dives

Rush Shah • 7 years ago

Notes from Coursera Deep Learning courses by Andrew Ng

Tess Ferrandez • 6 years ago

Strata NYC 2015: Sketching Big Data with Spark: randomized algorithms for large-scale data analytics

Databricks • 8 years ago

Developing Real-Time Data Pipelines with Apache Kafka

Joe Stein • 8 years ago

Scala - The Simple Parts, SFScala presentation

Martin Odersky • 9 years ago

Pragmatic Real-World Scala (short version)

Jonas Bonér • 15 years ago

Scala Data Pipelines @ Spotify

Neville Li • 8 years ago

Recommender Systems (Machine Learning Summer School 2014 @ CMU)

Xavier Amatriain • 9 years ago

Hive tuning

Michael Zhang • 10 years ago

Spark SQL Deep Dive @ Melbourne Spark Meetup

Databricks • 8 years ago

Spark Summit East 2015 Advanced Devops Student Slides

Databricks • 9 years ago

DTCC '14 Spark Runtime Internals

Cheng Lian • 10 years ago

Tuning and Debugging in Apache Spark

Databricks • 9 years ago

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Databricks • 9 years ago

Why Scala Is Taking Over the Big Data World

Dean Wampler • 9 years ago

storm at twitter

Krishna Gade • 10 years ago

Collaborative Filtering with Spark

Chris Johnson • 9 years ago

DataFu @ ApacheCon 2014

William Vaughan • 10 years ago

Tiny Batches, in the wine: Shiny New Bits in Spark Streaming

Paco Nathan • 9 years ago

Hadoop World 2011: Advanced HBase Schema Design - Lars George, Cloudera

Cloudera, Inc. • 12 years ago

HBase schema design Big Data TechCon Boston

amansk • 11 years ago

HBaseCon 2012 | HBase Schema Design - Ian Varley, Salesforce

Cloudera, Inc. • 11 years ago

The 21 Coolest Internet Of Things Gadgets

Bernard Marr • 9 years ago
Personal Information
Organization / Workplace
London, United Kingdom United Kingdom
Occupation
Data Science and Big Data
Industry
Technology / Software / Internet
About
Problem Solver. Python/Hadoop Coder. I have done end to end work involving development, administration and Data Science in Big Data. I have set up Hadoop clusters, built ETL pipelines by writing MapReduce/Spark code and have worked on data science problems. I have used a variety of technologies including Spark, Hive, Pig, HBase, R, etc. I look at Big Data everyday and use map reduce features of Hadoop to solve big data problems and extract useful information from them. I have done expert work in search quality by analyzing millions of queries searched by users everyday. Here are some Data Science problems I have worked on solving so far 1) Understand the relationships between users wh...
Tags
newbie pycon python programming pycon2010
See more