Serverless Data Engineering: Streamlining Big Data Workflows in the Cloud

Data Lake Development with Big Data: Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies

Snowflake Cookbook: Techniques for building modern cloud data warehousing solutions

Data Engineering with Azure Databricks: Design, build, and optimize scalable data pipelines and analytics solutions with Azure Databricks

Mastering Databricks Lakehouse Platform: Perform Data Warehousing, Data Engineering, Machine Learning, DevOps, and BI into a Single Platform (English Edition)

Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

Mastering Serverless Applications With Google Cloud Run

AWS for Busy Beginners: Launch and Scale Your First Cloud Application

Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems

Cloud Computing - Cloud 2018: 11th International Conference Held as Part of the Services Conference Federation Scf 201 (Paperback)

Software Architecture for Big Data and the Cloud

Modern Data Engineering with Apache Spark and Python: From Zero to Lakehouse: A Practical Guide to Building Big Data Pipelines, Tuning Performance, and ... (The Modern Data Stack & Analytics Book 4)

Cloud Computing: Principles, Systems and Applications

Hadoop 2 Quick-Start Guide Learn the Essentials of Big Data Computing

Serverless Architectures on AWS, Second Edition