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Big Data Visualization
Big Data Making Big Data Analytics Efficient & Effective
Uncover new approaches to big data visualization to make your analysis more effective and efficient with Big Data Visualization. Featuring in-depth coverage of big data analysis concepts together with industry-proven techniques, you'll learn how to approach the challenge of big data visualization with confidence, ease and precision.
About This Book and its Author
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 visualizationPacked with insightful real-world use casesAddresses the difficulties faced by professionals in the field of big data analyticsWho wrote this book?
James Miller is an IBM certified expert and system architectPossesses extensive applications and development experience across multiple platforms and technologiesWho is this book for?
Data analysis beginners & data analysts who want to use visualization for more powerful analysisKnowledge of big data platform tools such as Hadoop & programming languages such as R is requiredWhat will you 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.
Uncover new approaches to big data visualization to make your analysis more effective and efficient with Big Data Visualization. Featuring in-depth coverage of big data analysis concepts together with industry-proven techniques, you'll learn how to approach the challenge of big data visualization with confidence, ease and precision.
About This Book and its Author
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 visualizationPacked with insightful real-world use casesAddresses the difficulties faced by professionals in the field of big data analyticsWho wrote this book?
James Miller is an IBM certified expert and system architectPossesses extensive applications and development experience across multiple platforms and technologiesWho is this book for?
Data analysis beginners & data analysts who want to use visualization for more powerful analysisKnowledge of big data platform tools such as Hadoop & programming languages such as R is requiredWhat will you 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.
304 pages, Kindle Edition
Published February 28, 2017
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Displaying 1 of 1 review
February 7, 2021
The book provides really good insights on some of the most popular tools for data science, addressing issues like dealing with outliers, preprocessing data, showing your data in meaninful and easy to understand ways, dealing with different scenarios presented in real world problems demanding knowing skills in the usage of data.
There were a few typos here and there, and I consider a few more detail could had went in some of the examples.
Other than that, it's an eady to read pick for anyone knowing some basic data science stuff and trying to learn about the different situations one might have to confront.
There were a few typos here and there, and I consider a few more detail could had went in some of the examples.
Other than that, it's an eady to read pick for anyone knowing some basic data science stuff and trying to learn about the different situations one might have to confront.
Displaying 1 of 1 review