Top 6 Best Data Engineering

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts

Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Data Engineering on Azure

Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS

Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering