hadoop training in hyderabad

About Big Data & Hadoop Training in Hyderabad

 

India requires at least of 1 Lakh data scientist in next upcoming years. The USA alone would face a deficit of 1 Lakh 90 thousand data scientist against its need of 4 Lakh 92 thousand by 2018

 

Hadoop Training Course highlights

 

Big Data Hadoop course content

 

                 

  • Introduction – Hadoop Custom VM
  • Big data volume velocity variety veracity
  • Difference Between structured and unstructured data
  • Big data Application and use cases in different fields
  • Limitations of traditional Large scale system control
  • Distribution strategy way of computing is superior

 

 

HDFS Architecture

 

 

  • HDFs Overview and Architecture Guide
  • Data Replication definition
  • Safe mode
  • Name Node
  • Checkpoint Node
  • Backup Node
  • files configuration
  • HDFS data flow Diagram
  • Write
  • Read
  • HDFS command guide
  • Administrative
  • System Files
  • Advanced Features of HDFS features
  • HDFS federation Architecture
  • HDFS federation High availability

 

Hadoop MapReduce – 1

 

 

  • Overview of MapReduce
  • Functional paradigm programming Languages
  • Input & Output Formats
  • Hadoop Hive Data types
  • shuffling
  • sorting
  • Input Splits
  • Distributed Cache
  • Partitioning
  • Configuration Files
  • MapReduce Algorithm and Data Flow
  • Word Count
  • MR Architecture
  • Legacy MapReduce
  • Generations of MapReduce (MRv2/ aka YARN)
  • Alternatives to MapReduce
  • Bulk Synchronous Parallel
  • Ad Hoc Querying
  • Graph Computing

MapReduce – 2

 

 

  • Developing and Deploying MapReduce programs
  • Hadoop streaming
  • pseudo distributed mode in Hadoop
  • stand alone Mode
  • optimization techniques
  • compression
  • Combiners
  • JVM Reuse
  • MapReduce Practices and Debugging
  • Non-Graph Fundamental MapReduce Algorithm
  • high Temperature
  • Student Data Base
  • Fundamental MapReduce Algorithm (Graph)
  • Page Rank
  • Inverted Index

 

Abstraction for MapReduce (Pig)

 

  • Introduction
  • Data types
  • Architecture
  • Different Modes
  • Use Cases
  • construct Pig Latin Language (Store, Dump, Load)

Abstraction for MapReduce (Hive)

 

  • Introduction
  • Different Modes
  • Different Modes
  • Metastore Implementations
  • Architecture
  • Conceptual tables and view
  • DDL and DML operations in HiveQL
  • Partitions and Buckets
  • Non-Java while Transformation
  • Use Cases
  • Difference Between Pig and Hive
  • Pig and Hive uses in Scream Analysis

 

NOSQL Databases List – 1

 

  • concepts of NOSQL
  • RDBMS Review
  • NOSQL Need
  • ACID vs. Base
  • Brewers Cap Theorem
  • Schema on Read & Write
  • Types of NOSQL database
  • Documents
  • Key Value
  • Graph
  • Columnar
  • Columnar Databases List

 

OSQL Databases – 2

 

 

  • Cassandra vs HBase performance
  • HBase Architecture explanation
  • HBase Data Model example
  • HBase Command List
  • HBase coprocessor endpoint example
  • HBase coprocessor observer example

Building Hadoop Cluster using Apache Hadoop

 

  • What is the stand-alone mode in Hadoop?
  • How to find model of distribution
  • pseudo-distributed mode
  • high Distributed

Apache Hadoop Ecosystem

 

  • Hama
  • Graph
  • Flume
  • Sqoop
  • Oozi

 

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