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 Description
Gain 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 for
Who 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
- Introduction to Big Data Visualization
- Access, Speed and Storage with Hadoop
- Context - Understanding your data
- Addressing Data Quality
- Displaying Results with D3
- Dashboard for Big Data -Tableau
- Dealing with Outliers
- Big Data Operational Intelligence with Splunk
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