Book Online Tickets for DEMO on Hadoop - Big Data @ BUILD EXPERT, Hyderabad. Build Expertise is a Global leader in training,development,and consulting services that helps participants learn new technology and keep themselves updated with the new developments. Build Expertise is formed by and of certified professionals with mo

DEMO on Hadoop - Big Data @ BUILD EXPERTISE

 

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About The Event

Build Expertise is a Global leader in training,development,and consulting services that helps participants learn new technology and keep themselves updated with the new developments. Build Expertise is formed by and of certified professionals with more than decade of industry experience.

Big Data Hadoop is an open-source software framework for storage and large-scale processing of data-sets on clusters of commodity hardware. we are offers hadoop training in Hyderabad by certified professionals. Big data Hadoop is an Apache top-level project being built and used by a global community of contributors and users.It is licensed under the Apache License 2.0. The Apache Hadoop framework is composed of the following modules: Hadoop Common – contains libraries and utilities needed by other Hadoop modules. Big data Hadoop Distributed File System (HDFS) – a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster. Hadoop YARN – a resource-management platform responsible for managing compute resources in clusters and using them for scheduling of users’ applications. Hadoop MapReduce – a programming model for large scale data processing.

OVERVIEW

INTRODUCTION

Through instructor-led lessons and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: How big data Hadoop fits into the world (recognize the problems it solves) Understanding the concepts of HDFS and MapReduce (find out how it solves the problems) Writing MapReduce programs (see how we solve the problems) Solving problems on your own.

COURSE HIGHLIGHTS

  • Motivation for Big data Hadoop
    1. Problems with traditional large-scale systems
    2. Requirements for a new approach
  • Big data Hadoop Basic Concepts
  • Writing a Map Reduce Program
  • Integrating Hadoop into the Workflow
  • Delving Deeper Into The Hadoop API
  • Using Hive and Pig
  • Common Map Reduce Algorithms
  • Practical Development Tips and Techniques
  • More Advanced MapReduce Programming
  • Joining Data Sets in MapReduce Jobs
  • Graph Manipulation in big data Hadoop
  • Creating Workflows with Oozie

Contact on: 040-48513939, +91 9703347567 (BUILD EXPERTISE TRAINING & CONSULTING)

Website: www.buildexpertise.com

 

 

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