Название: Big Data Simplified Автор: Sourabh Mukherjee
Издательство: Pearson
Год: 2019
Страниц: 360
Язык: английский
Формат: epub
Размер: 34.3 MB
Big Data Simplified blends technology with strategy and delves into applications of Big Data in specialized areas, such as recommendation engines, Data Science and Internet of Things (IoT) and enables a practitioner to make the right technology choice. The steps to strategize a Big Data implementation are also discussed in detail. This book presents a holistic approach to the topic, covering a wide landscape of Big Data technologies like Hadoop 2.0 and package implementations, such as Cloudera. In-depth discussion of associated technologies, such as MapReduce, Hive, Pig, Oozie, Apache Zookeeper, Flume, Kafka, Spark, Python and NoSQL databases like Cassandra, MongoDB, graphs, etc., is also included.
In addition, this book also encompasses the content around industrial applications of Big Data and the basic functionality of Big Data to several other emerging technology trends, like Data Sciences, IoT and Recommendation Engines, and the steps to strategize a Big Data implementation.
Features:
1. Important concepts are backed by code snippets enabling step-by-step practical implementation.
2. Includes case study with complete code and detailing the concepts.
3. Numerous objective and subjective-type questions added for readers to evaluate their learning.
Contents:
Preface xix
Acknowledgements xxi
About the Authors xxiii
Model Syllabus for Big Data xxv
Lesson Plan xxvii
Chapter 1 A Closer Look at Data 1
Chapter 2 Introducing Big Data 19
Chapter 3 Introducing Hadoop 37
Chapter 4 Introducing MapReduce 67
Chapter 5 Introducing NoSQL 97
Chapter 6 Introducing Spark and Kafka 117
Chapter 7 Other BigData Tools and Technologies 155
Chapter 8 Working with Big Data in R 191
Chapter 9 Working with Big Data in Python 229
Chapter 10 Big Data Applied 261
Chapter 11 Big Data Strategy 277
Chapter 12 Case Study: Retail Near Real-time Analytics 293
Appendix 319
Index 327
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