Hadoop Online Training

Course Duration : 35 Hrs

Hadoop is a free, Java based programming framework that supports the processing of large data sets in a distributed computing environment. Hadoop is developed to scale up from a single server to thousands of systems, with a very high degree of fault tolerance. With the help of Hadoop it is easy to run applications on systems with thousands of nodes involving thousands of terabytes. The main advantage of Hadoop is that businesses and organizations can now find value in data that was recently considered useless.

Hadoop Course Content

• Introduction to Hadoop BIG Data
• Building Blocks of Hadoop
• Installing Hadoop cluster
• Hadoop Daemons
• HDFS
• HDFS Overview and Architecture
• Configuring HDFS
• Interacting With HDFS
• HDFS Permissions and Security
• HDFS Shell commands
• File System Java API

• Map Reduce
•  JobTracker and TaskTracker
• Submitting MapReduce job
• Exploring Mapper,Reducer,Combiner
• Shuffle: Sort and Partition
• Input and output formats
• Job Scheduling

• Map-Reduce Tasks
• Writing a Map-Reduce programme
• Reading and writing data using HDFS
• Java BIG Data Hadoop Eclipse integration
• Mapper in details
• Reducer in details
• Using of Combiners
• Reducing Intermediate Data by Combiners
• Writing Partitioners for Better Load of Data
• Balancing  and Sorting in HDFS
• Searching Data in HDFS
• Indexing data in HDFS

• Sqoop
• Installating Sqoop
• Importing and exporting data using Sqoop
• Importing data from RDMS Server’s (like mysql,oracle) into HDFS
• Importing data from File system in HDFS
• Exporting data from HDFS in to RDMS Servers(like mysql,oracle)

• Pig
• Pig Installation
• Understanding Pig Latin
• Pig Latin scripts.
•  Pig scripts in Local mode and Hadoop mode

• HBase
• Introduction to Hadoop Hbase
• RDBMS vs. Hadoop HBase
• Exploring Hadoop HBase Master & region serve
• Column Families and Regions
• Basic Hadoop Hbase shell commands

• Hive
• Introduction to Hadoop Hive
• Hadoop HBase vs Hadoop Hive
• Installation of Hive
• HQL (Hive query language)
• Basic Hive commands
• Case study to understand Hadoop applications