Download Book ➡ Link
Read Book Online ➡ Link
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: 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
Machine Learning in Production / AI Engineering - GitHub Pages
The course is designed to establish a working relationship between software engineers and data scientists: both contribute to building production ML systems
Fundamentals of Data Engineering: Plan and Build Robust
With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies
Fundamentals of Data Engineering : Joe Reis - Blackwell's
With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies
Data Engineering: Data Warehouse, Data Pipeline and Data
Data engineering is a set of operations aimed at creating interfaces and mechanisms for the flow and access of information. It takes dedicated
Best Big Data Certifications in 2022 - Simplilearn
Post Graduate Program in Data Engineering The certification course is the best starting point for anyone interested in either moving into or
Joe Reis (Author of Fundamentals of Data Engineering)
Joe Reis is the author of Fundamentals of Data Engineering (4.50 avg rating, Fundamentals of Data Engineering: Plan and Build Robust Data Systems
A Day in the Life of a Silicon Valley Data Engineer
Data Engineers use tools such as Java to build APIs, Python to write distributed ETL pipelines, and SQL to access data in source systems and move it to target
Coming Soon - Computers & Technology: Books - Amazon.com
Fundamentals of Data Engineering: Plan and Build Robust Data Systems Pre-order Price Guarantee. This title has not yet been released.