Data Engineering Best Practices: Architect robust and cost-effective data solutions in the cloud era
Author:Richard J. Schiller (Author), David Larochelle (Author)
Publisher finelybook 出版社:Packt Publishing
Edition 版本:N/A
Publication Date 出版日期:2024-10-11
Language 语言:English
Print Length 页数:550pages
ISBN-10:1803244984
ISBN-13:9781803244983
Book Description
About the Author
Richard J. Schiller is a chief architect, distinguished engineer, and startup entrepreneur with 40 years of experience delivering real-time large-scale data processing systems. He holds an MS in computer engineering from Columbia University’s School of Engineering and Applied Science and a BA in computer science and applied mathematics. He has been involved with two prior successful startups and has coauthored three patents. He is a hands-on systems developer and innovator.
David Larochelle has been involved in data engineering for startups, Fortune 500 companies, and research institutes. He holds a BS in computer science from the College of William & Mary, a Masters in computer science from the University of Virginia, and a Master’s in communication from the University of Pennsylvania. David’s career spans over 20 years, and his strong background has enabled him to work in a wide range of organizations, including startups, established companies, and research labs.
下载地址
相关推荐
Beginning in Algebraic Geometry
LLM Development and AI Ethics: A guide to AI safety, governance, generative AI, LLM, prompt engineering, and AGI
Python for DevOps: Master automation, CI/CD pipelines, and containerization with Python DevOps strategies
Microsoft Power Automate Cookbook: Automating Business Processes Easily, Intuitively, and Quickly
Worldbuilding for Game Designers
Effective SQL: 61 Specific Ways to Write Better SQL