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Hadoop Essentials

Hadoop Essentials

By : Achari
3.5 (6)
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Hadoop Essentials

Hadoop Essentials

3.5 (6)
By: Achari

Overview of this book

This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data. Starting with the fundamentals Hadoop YARN, MapReduce, HDFS, and other vital elements in the Hadoop ecosystem, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also explore a number of the leading data processing tools including Hive and Pig, and learn how to use Sqoop and Flume, two of the most powerful technologies used for data ingestion. With further guidance on data streaming and real-time analytics with Storm and Spark, Hadoop Essentials is a reliable and relevant resource for anyone who understands the difficulties - and opportunities - presented by Big Data today. With this guide, you'll develop your confidence with Hadoop, and be able to use the knowledge and skills you learn to successfully harness its unparalleled capabilities.
Table of Contents (9 chapters)
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3
3. Pillars of Hadoop – HDFS, MapReduce, and YARN
8
Index

Hadoop's basic data flow

A basic data flow of the Hadoop system can be divided into four phases:

  1. Capture Big Data : The sources can be extensive lists that are structured, semi-structured, and unstructured, some streaming, real-time data sources, sensors, devices, machine-captured data, and many other sources. For data capturing and storage, we have different data integrators such as, Flume, Sqoop, Storm, and so on in the Hadoop ecosystem, depending on the type of data.
  2. Process and Structure: We will be cleansing, filtering, and transforming the data by using a MapReduce-based framework or some other frameworks which can perform distributed programming in the Hadoop ecosystem. The frameworks available currently are MapReduce, Hive, Pig, Spark and so on.
  3. Distribute Results: The processed data can be used by the BI and analytics system or the big data analytics system for performing analysis or visualization.
  4. Feedback and Retain: The data analyzed can be fed back to Hadoop and used for improvements...
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Hadoop Essentials
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