January 2018
Beginner to intermediate
412 pages
9h 33m
English
Overview
Practical Big Data Analytics is your ultimate guide to harnessing Big Data technologies for enterprise analytics and machine learning. By leveraging tools like Hadoop, Spark, NoSQL databases, and frameworks such as R, this book equips you with the skills to implement robust data solutions that drive impactful business insights. Gain practical expertise in handling data at scale and uncover the value behind the numbers.
What this Book will help me do
- Master the fundamental concepts of Big Data storage, processing, and analytics.
- Gain practical skills in using tools like Hadoop, Spark, and NoSQL databases for large-scale data handling.
- Develop and deploy machine learning models and dashboards with R and R Shiny.
- Learn strategies for creating cost-efficient and scalable enterprise data analytics solutions.
- Understand and implement effective approaches to combining Big Data technologies for actionable insights.
Author(s)
None Dasgupta is an expert in Big Data analytics, statistical methodologies, and enterprise data solutions. With years of experience consulting on enterprise data platforms and working with leading industry technologies, Dasgupta brings a wealth of practical knowledge to help readers navigate and succeed in the field of Big Data. Through this book, Dasgupta shares an accessible and systematic way to learn and apply key Big Data concepts.
Who is it for?
This book is ideal for professionals eager to delve into Big Data analytics, regardless of their current level of expertise. It accommodates both aspiring analysts and seasoned IT professionals looking to enhance their knowledge in data-driven decision making. Individuals with a technical inclination and a drive to build Big Data architectures will find this book particularly beneficial. No prior knowledge of Big Data is required, although familiarity with programming concepts will enhance the learning experience.
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