Practical Big Data Analytics

eBook Details:

• Paperback: 412 pages
• Publisher: WOW! eBook (January 15, 2018)
• Language: English
• ISBN-10: 1783554398
• ISBN-13: 978-1783554393

eBook Description:

Practical Big Data Analytics: Get command of your organizational Big Data using the power of data science and analytics

Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization’s data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This Practical Big Data Analytics book will help you do that.

With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks.

• Get a 360-degree view into the world of Big Data, data science and machine learning
• Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives
• Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R
• Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions
• Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications
• Understand corporate strategies for successful Big Data and data science projects
• Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies

By the end of the Practical Big Data Analytics book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book.