Network Data Analytics (eBook)

A Hands-On Approach for Application Development

K. G. Srinivasa, Siddesh G. M., Srinidhi H. (Autoren)

eBook Download: PDF

2018 | 1st ed. 2018
XXV, 398 Seiten
Springer International Publishing (Verlag)
978-3-319-77800-6 (ISBN)

Infos

In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts.

 

Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.

Dr. Krishnarajanagar GopalaIyengar Srinivasa is an associate professor and the head of the Department of IT at C.B.P. Government Engineering College, Jaffarpur, New Delhi, India. His other publications include the Springer book Guide to High Performance Distributed Computing.

 

Dr. Gaddadevara Matt Siddesh is an associate professor at the Department of Information Science and Engineering at Ramaiah Institute of Technology, Bangalore, India.

 

Srinidhi Hiriyannaiah is an assistant professor at the Department of Computer Science and Engineering at Ramaiah Institute of Technology, Bangalore, India.

Inhalt

Part I: Data Analytics and Hadoop Introduction to Data Analytics Introduction to Hadoop Data Analytics with Map Reduce Part II: Tools for Data Analytics Apache Pig Apache Hive Apache Spark Apache Flume Apache Storm Python R Part III: Machine Learning for Data Analytics Basics of Machine Learning Linear Regression Logistic Regression Machine Learning on Spark Part IV: Exploring and Visualizing Data Introduction to Visualization Principles of Data Visualization Visualization Charts Popular Visualization Tools Data Visualization with Hadoop Part V: Case Studies Product Recommendation Market Basket Analysis

Produkt-Details

• Erscheint lt. Verlag: 26.4.2018
• Reihe/Serie: Computer Communications and Networks
• Reihe/Serie: Computer Communications and Networks
• Zusatzinfo: XXV, 398 p. 155 illus., 117 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik
• Schlagworte: data analytics • Data Visualization • Hadoop • High Performance Computing • machine learning algorithms
• ISBN-10: 3-319-77800-5 / 3319778005
• ISBN-13: 978-3-319-77800-6 / 9783319778006