Big Data and Analytics (eBook, PDF)
The key concepts and practical applications of big data analytics (English Edition)
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Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data proc...
Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the big data landscape.
WHAT YOU WILL LEARN
WHO THIS BOOK IS FOR
This book caters to a diverse audience, including data professionals, analysts, IT managers, and business intelligence practitioners.
TABLE OF CONTENTS
1. Introduction to Big Data 2. Big Data Analytics 3. Introduction of NoSQL 4. Introduction to Hadoop 5. Map Reduce 6. Introduction to MongoDB
WHAT YOU WILL LEARN
- Grasp big data fundamentals and applications.
- Master descriptive, predictive, and prescriptive analytics.
- Understand HDFS, MapReduce, YARN, and their functionalities.
- Explore data storage, retrieval, and manipulation in a NoSQL database.
- Gain practical insights and apply them to real-world scenarios.
WHO THIS BOOK IS FOR
This book caters to a diverse audience, including data professionals, analysts, IT managers, and business intelligence practitioners.
TABLE OF CONTENTS
1. Introduction to Big Data 2. Big Data Analytics 3. Introduction of NoSQL 4. Introduction to Hadoop 5. Map Reduce 6. Introduction to MongoDB
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