EBOOK - Big data analytics - Full Edition (Venkat Ankam)

 



Dive into the world of big data with "Big Data Analytics: Real Time Analytics Using Apache Spark and Hadoop." This comprehensive guide introduces readers to the fundamentals and practical applications of Apache Spark and Hadoop, covering essential topics like Spark SQL, DataFrames, structured streaming, and more. Learn how to harness the power of real-time analytics and big data tools effectively.


What this Book will help me do


Master the key components of Apache Spark and Hadoop ecosystems, including Spark SQL and MapReduce.

Gain an understanding of DataFrames, DataSets, and structured streaming for seamless data handling.

Develop skills in real-time analytics using Spark Streaming and technologies like Kafka and HBase.

Learn to implement machine learning models using Spark's MLlib and ML Pipelines.

Explore graph analytics with GraphX and leverage data visualization tools like Jupyter and Zeppelin.


Author(s)


Venkat Ankam, an expert in big data technologies, has years of experience working with Apache Hadoop and Spark. As an educator and technical consultant, Venkat has enabled numerous professionals to gain critical insights into big data ecosystems. With a pragmatic approach, his writings aim to guide readers through complex systems in a structured and easy-to-follow manner.


Table of Contents

Big Data Analytics

Credits

About the Author

Acknowledgement

About the Reviewers

www.PacktPub.com

eBooks, discount offers, and more

Why subscribe?

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

1. Big Data Analytics at a 10,000-Foot View

Big Data analytics and the role of Hadoop and Spark

A typical Big Data analytics project life cycle

Identifying the problem and outcomes

Identifying the necessary data

Data collection

Preprocessing data and ETL

Performing analytics

Visualizing data

The role of Hadoop ...









EBOOK - Big data analytics - 1st Edition (Venkat Ankam) 2016.


LINK ĐẶT MUA TÀI LIỆU ONLINE 1


LINK BUY BOOK (V) (UPDATING...)

 



Dive into the world of big data with "Big Data Analytics: Real Time Analytics Using Apache Spark and Hadoop." This comprehensive guide introduces readers to the fundamentals and practical applications of Apache Spark and Hadoop, covering essential topics like Spark SQL, DataFrames, structured streaming, and more. Learn how to harness the power of real-time analytics and big data tools effectively.


What this Book will help me do


Master the key components of Apache Spark and Hadoop ecosystems, including Spark SQL and MapReduce.

Gain an understanding of DataFrames, DataSets, and structured streaming for seamless data handling.

Develop skills in real-time analytics using Spark Streaming and technologies like Kafka and HBase.

Learn to implement machine learning models using Spark's MLlib and ML Pipelines.

Explore graph analytics with GraphX and leverage data visualization tools like Jupyter and Zeppelin.


Author(s)


Venkat Ankam, an expert in big data technologies, has years of experience working with Apache Hadoop and Spark. As an educator and technical consultant, Venkat has enabled numerous professionals to gain critical insights into big data ecosystems. With a pragmatic approach, his writings aim to guide readers through complex systems in a structured and easy-to-follow manner.


Table of Contents

Big Data Analytics

Credits

About the Author

Acknowledgement

About the Reviewers

www.PacktPub.com

eBooks, discount offers, and more

Why subscribe?

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

1. Big Data Analytics at a 10,000-Foot View

Big Data analytics and the role of Hadoop and Spark

A typical Big Data analytics project life cycle

Identifying the problem and outcomes

Identifying the necessary data

Data collection

Preprocessing data and ETL

Performing analytics

Visualizing data

The role of Hadoop ...









EBOOK - Big data analytics - 1st Edition (Venkat Ankam) 2016.


LINK ĐẶT MUA TÀI LIỆU ONLINE 1


LINK BUY BOOK (V) (UPDATING...)




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