The Resource Network data analytics : a hands-on approach for application development, K.G. Srinivasa, Siddesh G.M., Srinidhi H, (electronic book)
Network data analytics : a hands-on approach for application development, K.G. Srinivasa, Siddesh G.M., Srinidhi H, (electronic book)
Resource Information
The item Network data analytics : a hands-on approach for application development, K.G. Srinivasa, Siddesh G.M., Srinidhi H, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Network data analytics : a hands-on approach for application development, K.G. Srinivasa, Siddesh G.M., Srinidhi H, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- 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
- Language
- eng
- Extent
- 1 online resource (xxv, 398 pages)
- Contents
-
- Part I: Data Analytics and Hadoop
- Chapter 1. Introduction to Data Analytics
- Chapter 2. Introduction to Hadoop
- Chapter 3. Data Analytics with Map Reduce
- Part II: Tools for Data Analytics
- Chapter 4. Apache Pig
- Chapter 5. Apache Hive
- Chapter 6. Apache Spark
- Chapter 7. Apache Flume
- Chapter 8. Apache Storm
- Chapter 9. Python R
- Part III: Machine Learning for Data Analytics
- Chapter 10. Basics of Machine Learning
- Chapter 11. Linear Regression
- Chapter 12. Logistic Regression
- Chapter 13. Machine Learning on Spark
- Part IV: Exploring and Visualizing Data
- Chapter 14. Introduction to Visualization
- Chapter 15. Principles of Data Visualization
- Chapter 16. Visualization Charts
- Chapter 17. Popular Visualization Tools
- Chapter 18. Data Visualization with Hadoop
- Part V: Case Studies
- Chapter 19. Product Recommendation
- Chapter 20. Market Basket Analysis
- Isbn
- 9783319778006
- Label
- Network data analytics : a hands-on approach for application development
- Title
- Network data analytics
- Title remainder
- a hands-on approach for application development
- Statement of responsibility
- K.G. Srinivasa, Siddesh G.M., Srinidhi H
- Language
- eng
- Summary
- 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
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorName
- Srinivasa, K. G
- Dewey number
- 004.6
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA76.9.D5
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- G. M., Siddesh
- H., Srinidhi
- Series statement
- Computer communications and networks,
- http://library.link/vocab/subjectName
-
- Electronic data processing
- Machine learning
- Big data
- Internet of things
- Computer Science
- Data Mining and Knowledge Discovery
- Big Data
- Visualization
- Artificial Intelligence (incl. Robotics)
- Label
- Network data analytics : a hands-on approach for application development, K.G. Srinivasa, Siddesh G.M., Srinidhi H, (electronic book)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Part I: Data Analytics and Hadoop -- Chapter 1. Introduction to Data Analytics -- Chapter 2. Introduction to Hadoop -- Chapter 3. Data Analytics with Map Reduce -- Part II: Tools for Data Analytics -- Chapter 4. Apache Pig -- Chapter 5. Apache Hive -- Chapter 6. Apache Spark -- Chapter 7. Apache Flume -- Chapter 8. Apache Storm -- Chapter 9. Python R -- Part III: Machine Learning for Data Analytics -- Chapter 10. Basics of Machine Learning -- Chapter 11. Linear Regression -- Chapter 12. Logistic Regression -- Chapter 13. Machine Learning on Spark -- Part IV: Exploring and Visualizing Data -- Chapter 14. Introduction to Visualization -- Chapter 15. Principles of Data Visualization -- Chapter 16. Visualization Charts -- Chapter 17. Popular Visualization Tools -- Chapter 18. Data Visualization with Hadoop -- Part V: Case Studies -- Chapter 19. Product Recommendation -- Chapter 20. Market Basket Analysis
- Extent
- 1 online resource (xxv, 398 pages)
- Form of item
- online
- Isbn
- 9783319778006
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-319-77800-6
- Other physical details
- illustrations (some color).
- System control number
-
- on1033404270
- (OCoLC)1033404270
- Label
- Network data analytics : a hands-on approach for application development, K.G. Srinivasa, Siddesh G.M., Srinidhi H, (electronic book)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Part I: Data Analytics and Hadoop -- Chapter 1. Introduction to Data Analytics -- Chapter 2. Introduction to Hadoop -- Chapter 3. Data Analytics with Map Reduce -- Part II: Tools for Data Analytics -- Chapter 4. Apache Pig -- Chapter 5. Apache Hive -- Chapter 6. Apache Spark -- Chapter 7. Apache Flume -- Chapter 8. Apache Storm -- Chapter 9. Python R -- Part III: Machine Learning for Data Analytics -- Chapter 10. Basics of Machine Learning -- Chapter 11. Linear Regression -- Chapter 12. Logistic Regression -- Chapter 13. Machine Learning on Spark -- Part IV: Exploring and Visualizing Data -- Chapter 14. Introduction to Visualization -- Chapter 15. Principles of Data Visualization -- Chapter 16. Visualization Charts -- Chapter 17. Popular Visualization Tools -- Chapter 18. Data Visualization with Hadoop -- Part V: Case Studies -- Chapter 19. Product Recommendation -- Chapter 20. Market Basket Analysis
- Extent
- 1 online resource (xxv, 398 pages)
- Form of item
- online
- Isbn
- 9783319778006
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-319-77800-6
- Other physical details
- illustrations (some color).
- System control number
-
- on1033404270
- (OCoLC)1033404270
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Network-data-analytics--a-hands-on-approach-for/Zs_9iPOUo7c/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Network-data-analytics--a-hands-on-approach-for/Zs_9iPOUo7c/">Network data analytics : a hands-on approach for application development, K.G. Srinivasa, Siddesh G.M., Srinidhi H, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
