Hadoop Development - Essentials training course gives awareness about the Hadoop framework which is the de facto platform for Big Data computation. Apache Hadoop is an open-source software framework that supports data-intensive distributed applications, licensed under the Apache v2 license. It supports the running of applications on large clusters of commodity hardware. The Hadoop framework transparently provides applications with both reliability and data motion. Hadoop implements a computational paradigm named map/reduce, where the application is divided into many small fragments of work, each of which may be executed or re-executed on any node in the cluster. In addition, it provides a distributed file system that stores data on the computer nodes, providing very high aggregate bandwidth across the cluster.
Participants will learn the internals of Hadoop framework and MapReduce paradigm, its need and types, other related projects on Hadoop like Hive, Pig, HBase, Impala etc. Business and financial benefits will be covered during the session. This would give fair understanding and awareness about the Hadoop ecosystem and its role in the technological ecosystem.
By attending Hadoop Development - Essentials workshop, Participants will learn:
- Using the Hadoop & HDFS platform
- Loading data into HDFS
- Introduction to MapReduce
- Writing and debugging MapReduce jobs
- Implementing common algorithms on Hadoop
- Using Mahout for advanced data mining
- Benchmarking and optimizing performance
- Project / Program / Technical managers
- Technical / Team leads
- Software analysts/ engineers
- Pre-sales consultant
- Business development managers