Description

Hadoop Development course teaches the skill set required for the learners how to setup Hadoop Cluster, how to store Big Data using Hadoop (HDFS) and how to process/analyze the Big Data using Map-Reduce Programming or by using other Hadoop ecosystems. Attend Hadoop Training demo by Real-Time Expert.

Prerequisites to learn Hadoop Administration

• Basic Unix Commands
• Core Java (OOPS Concepts, Collections , Exceptions ) for Map Reduce Programming
• SQL Query knowledge for Hive Queries

About Big Data Hadoop Certification Training Course

It is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to help you learn Big Data Hadoop and Spark modules. This is an industry-recognized Big Data certification training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing and analytics with Apache Spark. This Cloudera Hadoop and Spark training will prepare you to clear Cloudera CCA175 Big Data certification.

What will you learn in this Big Data Hadoop online training?

1. Fundamentals of Hadoop and YARN and write applications using them
2. Setting up pseudo-node and multi-node clusters on Amazon EC2
3. HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Flume, ZooKeeper and HBase
4. Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications
5. Hadoop administration activities like cluster managing, monitoring, administration and troubleshooting
6. Configuring ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc.
7. Hadoop testing applications using MRUnit and other automation tools
8. Working with Avro data formats
9. Practicing real-life projects using Hadoop and Apache Spark
10. Be equipped to clear Big Data Hadoop Certification

Who should take up this Big Data Hadoop online training?

1. Programming Developers and System Administrators
2. Experienced working professionals and Project Managers
3. Big Data Hadoop Developers eager to learn other verticals like testing, analytics and administration
4. Mainframe Professionals, Architects and Testing Professionals
5. Business Intelligence, Data Warehousing and Analytics Professionals
6. Graduates and undergraduates eager to learn Big Data