? Instructor-Led-Training ? 40 hours (5 days) ? Apache Hadoop, the open source data management software that helps organizations analyze massive volumes of structured and unstructured data, is a very hot topic across the tech industry. Employed by such big named websites as eBay, Facebook, and Yahoo, Hadoop is being tagged by many as one of the most desired tech skills for 2012 and coming years along with Cloud Computing. The

Topics Covered

Need for Hadoop Hadoop Basic Concepts MapReduce The Hadoop Distributed Filesystem Delving Deeper Into the Hadoop API Delving Deeper Into the Hadoop API Introduction to HBase Introduction Sqoop Intro to Hive & Pig Getting data into Hive Hive Architecture HiveQL Query Execution Partitioning and Bucketing Best Practices for Hive Troubleshooting Hive Getting Started with Pig development PigLatin in-depth User-Defined Functions Best Practices for Pig

Who should attend

Architects and developers, who wish to write, build and maintain Apache Hadoop jobs. .

Pre-requisites

The participants should have basic understanding or knowledge of java, Linux and Eclipse

What you need to bring

Nothing

Key Takeaways

The attendees will learn below topics through lectures and hands-on exercises – Understand Big Data & Hadoop Ecosystem – Hadoop Distributed File System – HDFS – Use Map Reduce API and write common algorithms – Best practices for developing and debugging map reduce programs – Advanced Map Reduce Concepts & Algorithms – Hadoop Best Practices & Tip and Techniques – Managing and Monitoring Hadoop Cluster – Importing and exporting data using Sqoop – Leverage Hive & Pig for analysis – Running Hadoop on Cloud