Fundamentals of Data Engineering by Joe Reis
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 56048
- Number of Pages: 446
Rs.990.00
Rs.1,195.00
Tags: Artificial Intelligence , best books , best point , Best Price , Best Selling Books , Bestsellers , book good , Book Recommendations , Book Suggestions , Classic Literature , Cloud Computing , Computer , computer books , Computer Engineering , Computer Programming , computer Science , Computers & Technology , Cybersecurity , Data Mining , Data Modeling & Design , Data Processing , Data Science , Development , Digital Learning , Distance Education , E-Learning , Editor's Picks , Emerging Technologies , excellent , excellent books , Fundamentals of Data Engineering , good book , good books , good choice , good information , Good one , good quality , good read , Good Reads , Goodreads Choice , Great Books , helpful , Information Technology , IT , IT Careers , IT Consulting , IT Industry , IT Infrastructure , IT Jobs , IT Management , IT News , IT Professionals , IT Security , IT Services , IT Solutions , IT Support , IT Systems , IT Trends , IT Updates , Literary Gems , Mobile App Development , Must Reads , Networking , Page-Turners , Plan and Build Robust Data Systems , Popular Books , Reader Favorites , really good , Recommendations , Recommended Books , Recommended Literature , Recommended Reads , Recommended Titles , Remote Learning , Tech , Technology , Timeless Classics , Top Books , Top Picks , useful , Virtual Learning , Web Development
tle: Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Authors: Joe Reis, Matt Housley
Binding: Paperback
Paper Quality: Black White Paper
Category: Data Engineering / Computer Science / Technology
- Get a concise overview of the entire data engineering landscape
- Assess data engineering problems using an end-to-end framework of best practices
- Cut through marketing hype when choosing data technologies, architecture, and processes
- Use the data engineering lifecycle to design and build a robust architecture
- Incorporate data governance and security across the data engineering lifecycle
════ ⋆★⋆ ═══
Writer ✤ Joe Reis (Author), Matt Housley (Author)