Big Data training

 This lecture will help you understand how to import different types of data from various sources into Hadoop for further analysis.
Exercise Module: Importing Existing Databases with Sqoop
Sqoop is a command line tool developed by Cloudera and contributed to the Hadoop project. It provides an easy way to import data from RDBMSs and enable you to work with that data directly using MapReduce, Hive, or Pig.

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MapReduce Gen1 Architecture
JobTracker/TaskTracker
Combiner and shuffle
Counters
Speculative Execution
Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)
LAB #3: Sample Map Reduce Job Execution
Day 2: Introduction to Hadoop Ecosystem
Real-time I/O with HBase
HBase background
HBase Architecture
HBase core concepts
HBase vs. RDBMS
HBase Master and Region Servers
Data Modeling
Column Families and Regions
Bloom Filters and Block Indexes
Write Pipeline / Read Pipeline
Compactions
Performance Tuning
HBase GeoRedundancy, DR and Snapshots
LAB #4: Use HBase CLI to create databases and tune them.
Data Analytics via Hive
Hive philosophy and architecture
Hive vs. RDBMS
HiveQL and Hive Shell
Managing tables
Data types and schemas
Querying data
LAB #5: Analyzing data using Hive
Sqoop – Moving data between RDBMS and Hadoop
Data Processing through Sqoop
Understand Sqoop connectivity model with RDBMS
Using Sqoop example with real time data applications
LAB #6: Sqoop lab exercise.

You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.hadooponlinetraining.net
 
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
 

* Resume preparation and Interview assistance will be provided. 
For any further details please contact 
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USA: +1-6786933994, 6786933475
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please mail us all queries to info@magnifictraining.com