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

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Top 5 Mistakes to Avoid When Writing Apache Spark Applications

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From Mainframe to Microservice: An Introduction to Distributed Systems

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Cassandra By Example: Data Modelling with CQL3

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Apache con big data 2015 - Data Science from the trenches

Hadoop Internals

Cluster Schedulers

Scalable Algorithm Design with MapReduce

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Designing for Distributed Systems with Reactor and Reactive Streams

Reactive integrations with Akka Streams