Fundamentals of Data Engineering
Joe Reis is a business-minded data nerd with 20 years of experience in the data sector, with responsibilities ranging from statistical modeling, forecasting, machine learning, data engineering, data architecture, and practically everything in between. Matt Housley is a cloud specialist and data engineering consultant.
Data engineering has expanded fast over the last decade, leaving many software engineers, data scientists, and analysts in search of a complete understanding of the profession. Fundamentals of Data Engineering will teach you how to plan and create systems to meet the demands of your company and consumers by analyzing the finest technologies available using the data engineering lifecycle framework.
Authors Joe Reis and Matt Housley lead you through the data engineering lifecycle and demonstrate how to connect various cloud technologies to meet the needs of downstream data consumers. You'll learn how to apply data production, ingestion, orchestration, transformation, storage, and governance concepts that are essential in any data environment, independent of the underlying technology.
Among the best books on data mining, Fundamentals of Data Engineering will assist you in the following ways:
- Get a high-level understanding of the data engineering landscape.
- Analyze data engineering problems using an end-to-end best practices framework.
- When selecting data technology, architecture, and procedures, avoid marketing hype.
- Design and create a strong architecture using the data engineering lifecycle.
- Include data governance and security across the data engineering lifecycle.
Author: Matt Housley and Joe Reis
Link to buy: https://www.amazon.com/Fundamentals-Data-Engineering-Joe-Reis-ebook/dp/B0B4VH4T37/
Best Sellers Rank: #43,373 in Kindle Store
#2 in Database Management Systems
#2 in Data Mining (Kindle Store)
#3 in Data Modeling & Design (Kindle Store)
