Over years, Hadoop has become synonymous to Big Data. Talk about big data in any conversation and Hadoop is sure to pop-up. But like any evolving technology, Big Data encompasses a wide variety of enablers, Hadoop being just one of those, though the most popular one.
In this course you will get introduced to what is available beyond Hadoop and get a high level comparision between the applications.
Goying beyond Hadoop - Intro and General Remarks
Processing Streaming Data Apache Storm and Heron
Overview of Spark
Programming Environment with Twister2
Features of Twister2
Comparing Twister2, Spark, Flink and MPI
One of the most important and motivating reasons to learn Big Data and Hadoop is the fact that it brings an array of opportunities to bolster your career to an unprecedented level. As more and more companies turn to Big Data, they are increasingly looking for specialists who can interpret and use data. If you want to advance your career towards big data this hadoop course is for you.
The Hadoop Ecosystem has plenty of tools that can be leveraged by professionals even from different programming backgrounds. For example, if you are a software programmer then you are free to write MapReduce jobs in Java, Python etc. if you have a background in scripting languages then Apache Pig is the best choice to consider here. At the same time, if you are more comfortable with SQL, then you can move to the Apache Hive or Apache Drill.The demand for Hadoop professionals is growing worldwide and this strong growth pattern translated into huge job opportunities for all IT professionals
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