Key points , Why Hadoop is leading tool in current It Industry Definition of BigData
Hadoop nodes
Introduction to Hadoop Release-1
Hadoop Daemons in Hadoop Release-1
Introduction to Hadoop Release-2
Hadoop Daemons in Hadoop Release-2
Hadoop Cluster and Racks
Hadoop Cluster Demo
New projects on Hadoop
How Open Source tools is capable to run jobs in lesser time Hadoop Storage – HDFS (Hadoop Distributed file system) Hadoop Processing Framework (Map Reduce / YARN) Alternates of Map Reduce
Why NOSQL is in much demand instead of SQL
Distributed warehouse for HDFS
Hadoop Ecosystem and its usages
Data import/Export tools
Hadoop Installation and Hands-on on Hadoop machine : Hadoop installation
Introduction to Hadoop FS and Processing Environment’s UIs How to read and write files
Basic Unix commands for Hadoop
Hadoop FS shell
Hadoop releases practical
Hadoop daemons practical
Why Pig if Map Reduce is there?
How Pig is different from Programming languages Pig Data flow Introduction
How Schema is optional in Pig
Pig Data types
Pig Commands – Load, Store , Describe , Dump Map Reduce job started by Pig Commands
Execution plan
ETL Tool (Pig) Introduction Level-1 (Basics)
Pig Introduction
ETL Tool (Pig) Level-2 (Complex)
Pig- UDFs
Pig Use cases
Pig Assignment
Complex Use cases on Pig
Real time scenarios on Pig
When we should use Pig
When we shouldn’t use Pig
Hive Warehouse
Hive Introduction
Meta storage and meta store
Introduction to Derby Database
Hive Data types
HQL
DDL, DML and sub languages of Hive
Internal , external and Temp tables in Hive
Differentiation between SQL based Datawarehouse and Hive
Hive Level-2 (Complex)
Hive releases
Why Hive is not best solution for OLTP OLAP in Hive
Partitioning
Bucketing
Hive Architecture
Hue Interface for Hive
How to analyze data using Hive script Differentiation between Hive and Impala UDFs in Hive
Complex Use cases in Hive
Hive Advanced Assignment
Why Reducer is optional while Mapper is mandatory? Introduction to Combiner
Introduction to Partitioner
Programming languages for Map Reduce
Why Java is preferred for Map Reduce programming
Introduction to Map Reduce
How Map Reduce works as Processing Framework End to End execution flow of Map Reduce job Different tasks in Map Reduce job
NOSQL Databases and Introduction to HBase (2 Hours)
Introduction to NOSQL
Why NOSQL if SQL is in market since several years
Databases in market based on NOSQL
CAP Theorem
ACID Vs. CAP
OLTP Solutions with different capabilities
Which Nosql based solution is capable to handle specific requirements Examples of companies that uses NOSQL based databases
HBase Architecture of column families
Zookeeper and SQOOP
Introduction to Zookeeper
How Zookeeper helps in Hadoop Ecosystem
How to load data from Relational storage in Hadoop Sqoop basics
Sqoop practical implementation
Sqoop alternative
Sqoop connector
How to load unstructured and semi structured data in Hadoop Introduction to Flume
Hands-on on Flume
How to load Twitter data in HDFS using Hadoop
Introduction to Oozie
How to schedule jobs using Oozie
What kind of jobs can be scheduled using Oozie
How to schedule jobs which are time based
Hadoop releases
From where to get Hadoop and other components to install
Introduction to YARN
Significance of YARN
Introduction to Spark
Basics Features of SPARK and Scala available in Hue Why Spark demand is increasing in market
How can we use Spark with Hadoop Eco System Datasets for practice purpose
Flume , Oozie and YARN
How to load data streaming data without fixe schema
Apache Spark Basics
Emerging Trends of Big Data
YARN
Emerging Technologies of Big Data
Emerging use cases e.g IoT, Industrial Internet, New Applications
