Asllani: Big Data Technologies for Business

Big Data

Technologies for Business

Arben Asllani, University of Tennessee Chattanooga

Overview

The availability of big data is increasing as is the need for people to prepare and analyze it. Big Data Technologies for Business seeks to fill this need by presenting the material in a manner accessible to a broad audience including non-technical managers, business students and other professionals. Big data technologies are no longer the exclusive province of dedicated computer programmers. This book assumes little or no prior programming experience. Topics are introduced conceptually, intuitively, with pseudocode, and with fully worked examples including code. In this manner, students learn to use various essential technologies including, among others, Hadoop, Spark and Amazon Web Services (AWS).

Features

Explore big data topics intuitively and conceptually
Each technology topic is first introduced intuitively followed by a conceptual discussion to assure an overall understanding.

Enjoy the continuity of free integrated cloud-based technologies
The educators/students free version of Amazon Web Services (AWS) is used as a platform to access the Hadoop cluster and its ecosystems, throughout.

Enhance student learning with video introductions
A video for each chapter presents step-by-step instructions for setting up and accessing the numerous features of a big data environment and related software. These videos can be used to reinforce learning or to free up classroom time for a broader discussion of the material, its significance, and application.

Use the leading big data technologies
Students learn-by-doing with hands-on exercises central to the book. To assure success, Python, Java, or Scala code is provided in the book when necessary and on the companion website. Prior experience with these languages is not necessary to complete the activities.

Focus on business applications
The discussion, examples and exercises feature business uses to illustrate how big data technologies are transforming many businesses and have the potential for transforming others.

Detailed Table of Contents PDF

Chapter 1: Big Data and Analytics
Chapter 2: Cloud Computing and Big Data
Chapter 3: Distributed File Systems
Chapter 4: Anatomy of MapReduce
Chapter 5: Apache Pig and Pig Latin
Chapter 6: Apache Hive and HiveQL
Chapter 7: Moving Data with Sqoop
Chapter 8: NoSQL Databases
Chapter 9: BigTable and HBase
Chapter 10: Introduction to Spark
Chapter 11: Resilient Distributed Datasets
Chapter 12: Applications with Spark
Chapter 13: Iterative Processing and Data Streaming with Spark

Appendix A: Shell Commands in Linux and HDFS
Appendix B: Creating a Database Instance in AWS

About the Author

Arben (Beni) Asllani is the Marvin E. White Professor of Management in the Gary W. Rollins College of Business at The University of Tennessee Chattanooga. He has over 25 years of experience teaching and researching Data Analytics and related topics. He has published over 75 papers in peer-reviewed journals and proceedings. He received his PhD from the University of Nebraska in 1998.

Instructor Resources

Prospect Press provides instructors with an instructor manual, lecture slides and a test bank for each title. Some texts have additional resources including case teaching notes, tutorials, and addenda.

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Student Resources

Data Sets

Please find below code, exercise, tutorial data set files under their respective chapter.

Chapter 4:
CLICK HERE for a ZIP file which includes all code files for Chapter 4.
CLICK HERE for a ZIP file which includes all exercise files for Chapter 4.

Chapter 5:
CLICK HERE for a ZIP file which includes all tutorial files for Chapter 5.
CLICK HERE for a ZIP file which includes all exercise files for Chapter 5.

Chapter 6:
CLICK HERE for a ZIP file which includes all tutorial files for Chapter 6.
CLICK HERE for a ZIP file which includes all exercise files for Chapter 6.

Chapter 7:
CLICK HERE for a ZIP file which includes all exercise files for Chapter 7.

Chapter 8:
CLICK HERE for a ZIP file which includes all exercise files for Chapter 8.

Chapter 9:
CLICK HERE for a ZIP file which includes all tutorial files for Chapter 9.
CLICK HERE for a ZIP file which includes all exercise files for Chapter 9.

Chapter 10:
CLICK HERE for a ZIP file which includes all tutorial files for Chapter 10.
CLICK HERE for a ZIP file which includes all exercise files for Chapter 10.

Chapter 11:
CLICK HERE for a ZIP file which includes all tutorial files for Chapter 11.
CLICK HERE for a ZIP file which includes all exercise files for Chapter 11.

Chapter 12:
CLICK HERE for a ZIP file which includes all tutorial files for Chapter 12.
CLICK HERE for a ZIP file which includes all exercise files for Chapter 12.

Chapter 13:
CLICK HERE for a ZIP file which includes all tutorial files for Chapter 13.
CLICK HERE for a ZIP file which includes all exercise files for Chapter 13.

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ISBN: 978-1-943153-75-6

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ISBN: 978-1-943153-77-0

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Big Data

Technologies for Business

Bookstore Orders

Library Orders

Overview

Features

Table of Contents

About the Author

Instructor Resources

Student Resources

Data Sets

Ordering Information

Student Orders

Bookstore Orders

Library Orders

VitalSource VS RedShelf

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