Training
In Chennai
Description
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Type
Training
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Level
Beginner
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Location
Chennai
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Class hours
40h
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Duration
1 Month
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Start date
Different dates available
Big Data training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Hadoop
- Bigdata
Teachers and trainers (1)
Kavi arasu
Technical Trainer Hadoop
Course programme
Introduction
- Introduction to Big Data and Hadoop
- Getting Started with Hadoop
HDFS
- HDFS – Hadoop Distributed File System
- HDFS Architecture
- HDFS Components – Namenode, Datanode, Jobtracker, Tasktracker & Secondary Namenode
- Fault tolerance & High availability
- Failure handling – FSImage, Edits, Backup nodes
- HDFS Commands
Hadoop Setup
- Single Node setup
- Multi Node setup
- Scaling up/down Hadoop cluster
- Replication distribution and automatic discovery
MapReduce
- MapReduce Anatomy
- MapReduce Examples
- Running MapReduce programs in Hadoop
- YARN Introduction
- Hadoop 2.x vs Hadoop 1.x
Apache Pig
- Apache Pig Introduction
- Apache Pig Setup
- Apache Pig Commands
- Structured(including XML/JSON) data processing using Apache Pig
- Unstructured data processing using Apache Pig
- Best Practices for Pig
Apache Hive
- Apache Hive – Introduction
- Apache Hive – Setup
- Managed tables & external tables
- Apache Hive – Commands
- Structured data processing using Apache Hive
- PIG vs. HIVE
- Partitioning in managed & external tables
- Clustering in managed & external tables
- Unstructured data processing using Apache Hive
- Best Practices for Hive
Sqoop
- Importing RDB data to HDFS
- Importing RDB data to Hive
- Importing RDB data to HBase
- Exporting HDFS/Hive/HBase data to RDB
HBase
- NoSQL – Introduction
- HBase – Architecture
- ZooKeeper
- Region servers, MemCache & WAL
- HBase commands
- HBase filters
- Region splits
- Compactions (Major & Minor)
- Common issues and fixes in HBase + Best practices
- HBase Connectors for Pig & Hive
Flume
- Flume with Local
- Flume with HDFS
- Flume with HBASE
Hadoop