- HBase Essentials
- Nishant Garg
- 271字
- 2021-08-05 17:24:17
About the Reviewers
Kiran Gangadharan works as a software writer at WalletKit, Inc. He has been passionate about computers since childhood and has 3 years of professional experience. He loves to work on open source projects and read about various technologies/architectures. Apart from programming, he enjoys the pleasure of a good cup of coffee and reading a thought-provoking book. He has also reviewed Instant Node.js Starter, Pedro Teixeira, Packt Publishing.
Andrea Mostosi is a technology enthusiast. He has been an innovation lover since childhood. He started working in 2003 and has worked on several projects, playing almost every role in the computer science environment. He is currently the CTO at The Fool, a company that tries to make sense of web and social data. During his free time, he likes traveling, running, cooking, biking, and coding.
I would like to thank my geek friends: Simone M, Daniele V, Luca T, Luigi P, Michele N, Luca O, Luca B, Diego C, and Fabio B. They are the smartest people I know, and comparing myself with them has always pushed me to be better.
Eric K. Wong started with computing as a childhood hobby. He developed his own BBS on C64 in the early 80s and ported it to Linux in the early 90s. He started working in 1996 where he cut his teeth on SGI IRIX and HPC, which has shaped his focus on performance tuning and large clusters. In 1998, he started speaking, teaching, and consulting on behalf of a wide array of vendors. He remains an avid technology enthusiast and lives in Vancouver, Canada. He maintains a blog at http://www.masterschema.com.
- 集成架構中型系統
- Big Data Analytics with Hadoop 3
- Drupal 7 Multilingual Sites
- 計算機網絡應用基礎
- Deep Reinforcement Learning Hands-On
- 基于RPA技術財務機器人的應用與研究
- Mastering Ansible(Second Edition)
- Photoshop CS4數碼照片處理入門、進階與提高
- Keras Reinforcement Learning Projects
- 智能控制技術及其應用
- 從實踐中學嵌入式Linux操作系統
- Data Science with Python
- 華人動畫師的法蘭西印象
- Building Impressive Presentations with Impress.js
- SQL Server 2017 Machine Learning Services with R