HADOOP ONLINE TRAINING BY IT EXPERTS IN INDIA

SADGURU TECHNOLOGIES - 04040154733 8179736190 1.Intro to Hadoop, BigData •What is BigData? •Parallel Computer vs. Distributed Computing •Brief history of Hadoop •RDBMS/SQL vs. Hadoop •Scaling with Hadoop •Intro to the Hadoop ecosystem •Optimal hardware and network configurations for Hadoop 2.HDFS – Hadoop Distributed File System •Linux File system options •NameNode architecture •Secondary NameNode architecture •DataNode architecture •Heartbeats, Rack Awareness, Health Check •Exploring the HDFS Web UI LAB #2: HDFS CMD Line 3.Beginning MapReduce •MapReduce Architecture •JobTracker/TaskTracker •Combiner •Partitioner •Shuffle and Sort •Exploring the MapReduce Web UI •Walkthrough of a simple Java MapReduce example •Use case: Word Count in MapReduce LAB #3: Running MapReduce in Java 4.Advanced MapReduce •Data Types and File Formats. •Driver, Mapper & Reducer Class Code. •Build Map & Reduce programs using Eclipse. •Serialization and File-Based Data Structures •Input/output formats •Counters •Run Map Reduce locally and on cluster. LAB #4: Java MapReduce API 5.Hive for Structured Data •Hive architecture •Hive vs. RDBMS •HiveQL and Hive Shell •Managing tables •Data types and schemas •Querying data •Partitions and Buckets •Intro to User Defined Functions LAB #5: Exploring Hive Commands 6.Overview of NoSql and HBase •Introduction of NoSql. •CAP Theorem. •HBase architecture •HBase versions and origins •HBase vs. RDBMS •Data Modeling •Column Families and Regions LAB #6: Intro to HBase Command Line 7.Working with Sqoop •Introduction to Sqoop •Import Data •Export Data •Sqoop Syntaxes •Database Connection Lab#7: Hands on exercise on Sqoop and mysql DB. Thanks & Regards, SADGURU TECHNOLOGIES H. No: 7-1-621/10, Flat No: 102, Sai Manor Apartment, S.R. Nagar Main Road, Hyderabad-500038, Landmark: Beside Umesh Chandra Statue, Approach Road Parallel to Main Road Mob: 91-8179736190, Ph: 040-40154733 USA: +1 (701) 660-0529