Book Image

Big Data Visualization

Book Image

Big Data Visualization

Overview of this book

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 analytics
Table of Contents (15 chapters)
Big Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

DataManager and big data


Although DataManager can handle very large datasets or files, it is comparable to most tools of its type, in that, when it comes to big data, it has essentially constrained your machine resources--processor speed, memory, and storage space. However, that is not to say it is not a very useable and effective tool for addressing big data quality (as well as accomplishing other objectives as well).

As with most big data scenarios, some of the big data challenges can be addressed outside of the tool but you can also be successful through leveraging features and functionalities within DataManager. In addition, using the appropriate strategies, you can overcome any limitations a machine may apply.

The examples in the upcoming sections of this chapter aim to properly illustrate some of those big data strategies as well as addressing the outlined data quality categories.