[Hadoop] 【2017新书】Hadoop in the Enterprise [推广有奖]

5关注
43粉丝

讲师

98%

还不是VIP/贵宾

威望: 0 级
论坛币: 58373 个
通用积分: 245.7454
学术水平: 119 点
热心指数: 114 点
信用等级: 85 点
经验: 22677 点
帖子: 344
精华: 1
在线时间: 505 小时
注册时间: 2015-2-15
最后登录: 2022-11-18

楼主

jasonwu24

发表于 2017-6-23 11:07:09 |只看作者 |坛友微信交流群|倒序 |AI写论文

相似文件

换一批

是否 +2 论坛币

k人参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Title: Hadoop in the Enterprise: Architecture: A Guide to Successful Integration
Author: Ian Buss, Jan Kunigk, Lars George, Paul Wilkinson
Length: 350 pages
Edition: 1
Language: English
Publisher: O'Reilly Media
Publication Date: 2018-01-25
ISBN-10: 149196927X
ISBN-13: 9781491969274

OReilly.Hadoop.in.the.Enterprise.149196927X_Early.Release.pdf (13.24 MB, 需要: 5 个论坛币)

This practical book provides a comprehensive guide on how to make enterprise Hadoop integration successful. You’ll learn how to build a Hadoop infrastructure, architect an enterprise Hadoop platform, and even take Hadoop to the cloud.
Ideal for engineers, technical and enterprise architects, and technical leads, this guide includes lots of practical examples that can be easily comprehended by technical architects, and put into practice by an engineer, developer, and/or cluster operator.

Table of Contents

Chapter 1 Clusters
Chapter 2 Compute and Storage
Chapter 3 Network
Chapter 4 Organizational Considerations
Chapter 5 Data Center Considerations
Chapter 6 Cluster Nodes Operating System
Chapter 7 Service Databases
Chapter 8 Hadoop Deployment
Chapter 9 Platform Validation Testing
Chapter 10 Integration
Chapter 11 Cluster Access
Chapter 12 High-Availability
Chapter 13 Backup & Disaster Recovery
Chapter 14 General Considerations
Chapter 15 How to build my security architecture in a Hadoop environment?
Chapter 16 How to build HA for my Hadoop Cloud environment
Chapter 17 How can I build an on-premise private cloud for Hadoop?
Chapter 18 How do I run Hadoop on public cloud infrastructure?
Chapter 19 Leveraging Cloud Storage
Chapter 20 How can I work with managed service providers?
Chapter 21 Automated Provisioning