단행본
Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data
- 발행사항
- Birmingham : Packt Publishing, 2018
- 형태사항
- ⅸ,465p. ; 24cm
- 서지주기
- Includes Index
소장정보
| 위치 | 등록번호 | 청구기호 / 출력 | 상태 | 반납예정일 |
|---|---|---|---|---|
이용 가능 (1) | ||||
| 자료실 | E207435 | 대출가능 | - | |
이용 가능 (1)
- 등록번호
- E207435
- 상태/반납예정일
- 대출가능
- -
- 위치/청구기호(출력)
- 자료실
책 소개
Apache Hadoop is the most popular platform for big data processing to build powerful analytics solutions. This book shows you how to do just that, with the help of practical examples. You will be well-versed with the analytical capabilities of Hadoop ecosystem with Apache Spark and Apache Flink to perform big data analytics by the end of this book.
목차
Chapter 1: Introduction to Hadoop
Chapter 2: Overview of Big Data Analytics
Chapter 3: Big Data Processing with MapReduce
Chapter 4: Scientific Computing and Big Data Analysis with Python and Hadoop
Chapter 5: Statistical Big Data Computing with R and Hadoop
Chapter 6: Batch analytics with Apache Spark
Chapter 7: Real time analytics with Apache Spark
Chapter 8: Batch analytics with Apache Flink
Chapter 9: Stream Processing with Apache Flink
Chapter 10: Visualizing Big Data
Chapter 11: Introduction to Cloud Computing
Chapter 12: Using Amazon Web Services
Index
