Big Data and Analytics

✍ Scribed by Samiya Khan

Publisher: Notion Press
Year: 2021
Tongue: English
Leaves: 224
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Big data is a state-of-the-art technology that revolutionizes system design and decision-making. On the other hand, Hadoop is a distributed framework that allows the effective management of big data. This book combines theoretical and practical facets of big data technology. The first few chapters provide a theoretical introduction to big data and Hadoop, with individual chapters covering different components of the Hadoop ecosystem. The rest of the book provides lab tutorials, giving basic working knowledge of the different components and how they can synergistically be used to develop a big data application.

Key features of the book include
• It provides a background of the big data problem and introduces Hadoop in light of how it solves it.
• It covers all the processes of the big data lifecycle and the different components of Hadoop that serve these processes.
• It offers dedicated lab tutorials for installation and demonstration of the different components of the Hadoop ecosystem.

📜 SIMILAR VOLUMES

Data Science and Big Data Analytics: Dis

📁 Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

✍ EMC Education Services [EMC Education Services] 📂 Library 📅 2015 🏛 John Wiley & Sons 🌐 English

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to

Data Science and Big Data Analytics: Dis

📁 Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

✍ EMC Education Services 📂 Library 📅 2015 🏛 Wiley 🌐 English

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and

Data analytics and big data

📁 Data analytics and big data

✍ Sedkaoui, Soraya 📂 Library 📅 2018 🏛 ISTE Ltd / John Wiley & Sons, Inc 🌐 English

The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cove

Analytics and Big Data

📁 Analytics and Big Data

✍ Davenport, Thomas H.,Kim, Jinho,Patil, D. J.,Harris, Jeanne G.,Morison, Robert.; 📂 Library 📅 2014 🏛 Harvard Business Review Press 🌐 English

Data Science and Big Data Analytics

📁 Data Science and Big Data Analytics

✍ Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal 📂 Library 📅 2019 🏛 Springer Singapore 🌐 English

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conject

Big Data and Analytics: The key concepts

📁 Big Data and Analytics: The key concepts and practical applications of big data analytics

✍ Dr. Jugnesh Kumar, Dr. Anubhav Kumar, Dr. Rinku Kumar 📂 Library 📅 2024 🏛 BPB Publications 🌐 English

Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrow Key Features ● Learn about big data and how it helps businesses innovate, grow, and make decisions efficiently. ● Learn about data collection, storage, processing, and analys