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Home > Computing and Information Technology Books > Computer science > Human–computer interaction > Information visualization > Big Data Visualization: Bring scalability and dynamics to your Big Data visualization
Big Data Visualization: Bring scalability and dynamics to your Big Data visualization

Big Data Visualization: Bring scalability and dynamics to your Big Data visualization


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About the Book

Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization Key Features This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf Improve your decision-making by visualizing your big data the right way Book DescriptionGain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analyticsWhat you will learn Get to grips with the basics of big data visualization before moving onto data storage, adding context to data using R, and addressing data quality issues. Learn how to use D3 and dashboards to display and present results, and how to use Python to deal with anomalies. Who this book is forWho is this book for? ? Data analysis beginners & data analysts who want to use visualization for more powerful analysis ? Knowledge of big data platform tools such as Hadoop & programming languages such as R is required

Table of Contents:
Table of Contents

  1. Introduction to Big Data Visualization
  2. Access, Speed and Storage with Hadoop
  3. Context - Understanding your data
  4. Addressing Data Quality
  5. Displaying Results with D3
  6. Dashboard for Big Data -Tableau
  7. Dealing with Outliers
  8. Big Data Operational Intelligence with Splunk


About the Author :
James D. Miller is an IBM certified expert, Master Consultant, Application/System Architect with +35 years of applications & system design/development experience across multiple platforms, technologies and data formats, including Big Data. His experience includes IBM Planning Analytics, BI, Web architecture & design, systems analysis, GUI design & testing, Data modeling, design, and development of OLAP, Client/Server, Web & Mainframe applications and systems utilizing: Planning Analytics Workspace (PAW), IBM Watson Analytics, Cognos BI & TM1, Framework Manager, dynaSight/ArcPlan, ASP, DHTML, XML, MS Visual Basic, VBA, PERL, R, SPLUNK, MS SQL Server, ORACLE, etc. He has authored numerous books, including Implementing Splunk - Second Edition; Mastering Splunk; Hands-On Machine Learning with IBM Watson; IBM Watson Projects; Statistics for Data Science; Mastering Predictive Analytics with R - Second Edition and others. Project areas include those with Data Analytics, Planning Analytics, and FOPM projects, holding various roles from architect, developer, technical and project leader.


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Product Details
  • ISBN-13: 9781785284168
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Language: English
  • Sub Title: Bring scalability and dynamics to your Big Data visualization
  • ISBN-10: 1785284169
  • Publisher Date: 28 Feb 2017
  • Binding: Digital (delivered electronically)
  • No of Pages: 304


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