Rajan Rajendran

22 Seguidores

A highly motivated, result oriented Big data Spark/ Hadoop architect/ Technical Lead/ hands-on Engineer. Equally strong in Java, Scala and Python. Also use R for quick analysis. Experience building Machine learning models and perform statistical analysis. Design and lead complex enterprise integrated systems. Design and build real-time processing applications using Apache Spark/ Storm and Kafka. Design and build systems that collect, process, store, and analyze terabytes and petabytes of data. Drive the batch processes using Apache Oozie. Design and build real-time systems that process the requests in milliseconds. Possess strong leadership, cross-organizational partnerships, goal or...

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Rajan Rajendran

Cassandra at NoSql Matters 2012

Thrift vs Protocol Buffers vs Avro - Biased Comparison

Functional Programming Patterns (BuildStuff '14)

Top 5 Mistakes to Avoid When Writing Apache Spark Applications

Kafka and Storm - event processing in realtime

Apache Kafka 0.8 basic training - Verisign

Graphs 2 Know For The AP Econ Exam

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

ARIMA

Real time Analytics with Apache Kafka and Apache Spark

HBase and HDFS: Understanding FileSystem Usage in HBase

Python Worst Practices

Integration of Hive and HBase

The Impala Cookbook

Developing Real-Time Data Pipelines with Apache Kafka

Apache Storm 0.9 basic training - Verisign

Apache Spark Architecture

Streaming Big Data with Spark, Kafka, Cassandra, Akka & Scala (from webinar)

Introduction to Functional Programming with Scala

Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and Scala