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Big data training
Big data training
Big data training
Big data training
Big data training
Big data training
Big data training
Big data training
Big data training
Big data training
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Big data training

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You can attend 1st 2 sessions for free. once you like the classes then you can go for registration. …

You can attend 1st 2 sessions 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

INDIA: +91-9052666559

USA: +1-6786933475

visit www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

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  • 1. HADOOP By Magnific training Contact : 9052666559
  • 2.  CONTACT US:  Call :  india +91-9052666559  USA:+1-6786933475  Mail :info@magnifictraining.com  Visit : www.hadooponlinetraining.net
  • 3.  Introduction and Overview of Hadoop  · Introduction to Bigdata  · Architecture of BD  · 3V Concept  · FRamework and Applications/Tools  · Samples
  • 4.  Introduction and Overview of Hadoop  · What is Hadoop?  · History of Hadoop  · Building Blocks - Hadoop Eco-System  · Who is behind Hadoop?  · What Hadoop is good for and what it is not
  • 5.  Hadoop Distributed FileSystem (HDFS)  · HDFS Overview and Architecture  · HDFS Installation  · HDFS Use Cases  · Hadoop FileSystem Shell  · FileSystem Java API  · Hadoop Configuration
  • 6.  HBase - The Hadoop Database  · HBase Overview and Architecture  · HBase Installation  · HBase Shell  · Java Client API  · Java Administrative API  · Filters  · Scan Caching and Batching  · Key Design  · Table Design
  • 7.  Map/Reduce 2.0  · MapReduce 2.0  · MapReduce 2.0 Architecture  · Installation  · YARN and MapReduce Command Line Tools  · Developing MapReduce  · Input and Output Formats  · HDFS and HBase as Source and Sink
  • 8.  MapReduce Workflows  · Decomposing Problems into MapReduce Workflow  · Using JobControl  · Oozie Introduction and Architecture  · Oozie Installation  · Developing, deploying, and Executing Oozie Workflows
  • 9.  Pig  · Pig Overview  · Installation  · Pig Latin  · Developing Pig Scripts  · Processing Big Data with Pig  · Joining data-sets with Pig
  • 10.  Hive  · Hive Overview  · Installation  · Hive QL  Sqoop  · Sqoop Overview  · Installation  · HDFS-Sqoop-HIVE

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