Ultimate Big Data Analytics with Apache Hadoop : Master Big Data Analytics with Apache Hadoop Using Apache Spark, Hive, and Python (English Edition).

Format:

Book

Author/Creator:

Govindappa, Simhadri.

Language:

English

Subjects (All):

Big data.

Cloud computing.

Physical Description:

1 online resource (231 pages)

Edition:

1st ed.

Place of Publication:

Delhi : Orange Education PVT Ltd, 2024.

Summary:

In a rapidly evolving Big Data job market projected to grow by 28% through 2026 and with salaries reaching up to 150,000 annually--mastering big data analytics with the Hadoop ecosystem is most sought after for career advancement. The Ultimate Big Data Analytics with Apache Hadoop is an indispensable companion offering in-depth knowledge and practical skills needed to excel in today's data-driven landscape. The book begins laying a strong foundation with an overview of data lakes, data warehouses, and related concepts. It then delves into core Hadoop components such as HDFS, YARN, MapReduce, and Apache Tez, offering a blend of theory and practical exercises. You will gain hands-on experience with query engines like Apache Hive and Apache Spark, as well as file and table formats such as ORC, Parquet, Avro, Iceberg, Hudi, and Delta. Detailed instructions on installing and configuring clusters with Docker are included, along with big data visualization and statistical analysis using Python. Given the growing importance of scalable data pipelines, this book equips data engineers, analysts, and big data professionals with practical skills to set up, manage, and optimize data pipelines, and to apply machine learning techniques effectively. Don't miss out on the opportunity to become a leader in the big data field to unlock the full potential of big data analytics with Hadoop.

Contents:

Cover Page

Title Page

Copyright Page

Dedication Page

About the Author

About the Technical Reviewer

Acknowledgements

Preface

Credit

Errata

Table of Contents

1. Introduction to Hadoop and ASF

Introduction

Structure

Apache Hadoop

Hadoop: Where It All Started

Google File System (GFS) and MapReduce

Google File System

MapReduce: Simplified Data Processing on Large Clusters

Induction into Apache Software Foundation: Start of the Hadoop Ecosystem

Apache Software Foundation (ASF)

ASF: Where It All Started

Projects Under the Apache Foundation

Importance of ASF for the Hadoop Ecosystem

Innovation and Continuous Improvement

Scalability and Adaptability

Community Collaboration and Knowledge Sharing

Unlocking Opportunities: Why Should You Learn About the Hadoop Ecosystem

Real-World Applications of the Hadoop Ecosystem

Conclusion Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

9788197396571

8197396574

OCLC:

1455753977