HADOOP Big Data - Big value. Hadoop is open source framework used for BigData Analytics which requires to process vast amount of data. It is the future of Data science.

Topics Covered

What is Big Data & Why Hadoop? Characteristics of big data. Traditional data management systems and their limitations. What is Hadoop? The Motivation for Hadoop. The Hadoop eco-system. Big data/Hadoop use cases. Building Blocks of Hadoop: Hadoop Cluster Setup: Components of Hadoop. HDFS (Hadoop Distributed File System): The Hadoop Distributed File System(HDFS) Advanced HDFS concepts. MapReduce: MapReduce Program Basic. Common MapReduce Algorithms: Programming Practices. Pig: • Pig program structure and execution process • Pig Data Model • Grunt • Comparison with RDBMS • Pig Functions • Joins & filtering using Pig • Group & co-group • Schema merging and redefining functions. • Pig User Defined Funtions HIVE: Understanding Hive. HiveQL - Data Definition Options. HiveQL - Data Manipulation. HiveQL - Queries HBase, Sqoop, Flume: HBASE:- ? ? • Introduction to HBase • HBase data access • HBase Advanced Usage, Schema Design • Internal data storage in hbase • MapReduce Integration with HBase. Sqoop:- ? • Introduction to Sqoop ? • Import data from RDBMS to HDFS ? • Export Data from HDFS to RDBMS FLUME:- ? • Introduction to Flume ? • Flume Architecture ? • Flume Agent, Flume Collector ?

Who should attend

Any person who is interested to build career in BigData Analytics domain.

Pre-requisites

# OOPS Concepts (Polymorphism, Inheritance, encapsulation etc) ? # Java Basics like Interfaces, classes and Abstract Classes etc. # Collection concept # File I/O. # SQL # Linux or CLI basic commands.?

What you need to bring

Computer & Internet

Key Takeaways

This Course will help you to understand Big Data Hadoop and its Ecosystem. Hadoop Distributed File System – HDFS. Use Map Reduce to write common algorithms. Hadoop Best Practices & Tip and Techniques. Managing and Monitoring Hadoop Cluster. Importing and exporting data using Sqoop. Hive & Pig for analysis.