Kannappan Sirchabesan
8
Seguidores
Personal Information
Organización/Lugar de trabajo
London, United Kingdom United Kingdom
Ocupación
Data Science and Big Data
Sector
Technology / Software / Internet
Acerca de
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...
Etiquetas
newbie
pycon
python
programming
pycon2010
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Hace 7 años
Netezza Deep Dives
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Notes from Coursera Deep Learning courses by Andrew Ng
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Strata NYC 2015: Sketching Big Data with Spark: randomized algorithms for large-scale data analytics
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Hace 8 años
Developing Real-Time Data Pipelines with Apache Kafka
Joe Stein
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Scala - The Simple Parts, SFScala presentation
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Pragmatic Real-World Scala (short version)
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Scala Data Pipelines @ Spotify
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Recommender Systems (Machine Learning Summer School 2014 @ CMU)
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Spark Summit East 2015 Advanced Devops Student Slides
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Hace 9 años
DTCC '14 Spark Runtime Internals
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Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015
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Why Scala Is Taking Over the Big Data World
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Hace 10 años
DataFu @ ApacheCon 2014
William Vaughan
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Hace 10 años
Tiny Batches, in the wine: Shiny New Bits in Spark Streaming
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Hace 9 años