Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book 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 bi
Big Data Visualization
โ Scribed by Miller, James D
- Publisher
- Packt Publishing
- Year
- 2017
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Information visualization;Visualisation de l'information
๐ SIMILAR VOLUMES
<div><p style="margin: 0px 0px 14px; padding: 0px;">Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization</p><h2 style="margin: 0px; padding: 0px 0px 4px; text-rendering: optimizelegibility;">About This Book</h2><ul style="m
<p><p>This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on
<p><p>This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visu
<div> <p>Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been followed as