Hadoop Training Course ExtraCourse is the No.1 Hadoop online training institute offering Hadoop online and classroom courses in Hyderabad with expert guidance and 100% placement assistance.. Extra Course is a best Hadoop Online training institute in Hyderabad. We offer 100% practical driven program through our unique experiential learning, focus on comprehensive practical approach. We follow a holistic curriculum which has been designed by Industrial experts in a systematic approach from the beginner’s level to a more advanced study. Holistic Curriculum | Complete Practical Driven Learning | Real Time Projects | Be a Future Ready Key Highlights Curriculum is curated by Industrial Experts in Hadoop Extensive study on real time projects Handouts, Exercises and Assignments on each and every topic Work on Real-time scenarios 100+ Hands on Practical Assignments Real time work on currently running projects Resume preparation Mock Interviews 100% Placement Assistance All classes will be recorded and sent to you everyday Get Certified TimmingsWEEKDAYS BATCHESWEEKEND BATCHESWEEKDAYS BATCHES Mon-Friday One hour per day WEEKEND BATCHES Sat & Sunday 3 Hours per day Course Duration Coures Name Type Course Duration Price Hadoop Training 18,000/- Hadoop Workshop Hadoop Training & Workshop Hadoop Course Content1. Building Blocks of Hadoop - HDFS, MapReduce, and YARN Course Overview Introducing Hadoop Installing Hadoop Storing Data with HDFS Processing Data with MapReduce Scheduling and Managing Tasks with YARN 2. Apache Hive Course Overview Hive vs. RDBMS Getting Started with Basic Queries in Hive Creating Databases and Tables Using Complex Data Types and Table Generating Functions Understanding Constraints in Subqueries and Views Designing Schema for Hive 3. Flume and Sqoop Course Overview Why do we need Flume and Sqoop? Installing Flume Flume Agent and Flume Events Installing Sqoop Sqoop imports 4. Oozie Orchestration Framework A Brief Overview Of Oozie Oozie Install And Set Up Workflows: A Directed Acyclic Graph Of Tasks Coordinators: Managing Workflows Bundles: A Collection Of Coordinators For Data Pipelines 5. Apache Pig Course Overview Introducing Pig Using the GRUNT Shell Loading Data into Relations Working with Basic Data Transformations Working with Advanced Data Transformations 6. Basics of streaming Apache Kafka architecture and key concepts Apache Storm and key concepts Stream Processing with Spark Streaming 7. Big Data Hadoop Optimizations8. Big Data Hadoop Best Practices9. Practice Test & Interview Questions