 | Building Medallion Architectures: Designing with Delta Lake and Spark (2025)
by Strengholt, Piethein |
 | System Design on AWS: Building and Scaling Enterprise Solutions (2025)
by Kumar, Jayanth, Singh, Mandeep |
 | Mastering Delta Lake: Optimizing Data Lakes for Performance and Reliability (2025)
by Johnson, Robert |
 | Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes (2024)
by Lee, Denny, Wentling, Tristen, Haines, Scott, Babu, Prashanth |
 | Mastering AWS DynamoDB : Scalable NoSQL Solutions (AWS Cloud Mastery: Building and Securing Applications) (2024)
by Stepanyan, Souren |
 | Amazon DynamoDB for Financial Systems (2024)
by Oketunji, Finbarrs |
 | Engineering Resilient Systems on AWS: Design, Build, and Test for Resilience (2024)
by Schwarz, Kevin, Moran, Jennifer, Bachmeier, Nate |
 | Mastering Data Engineering and Analytics with Databricks: A Hands-on Guide to Build Scalable Pipelines Using Databricks, Delta Lake, and MLflow (English Edition) (2024)
by Kumar, Manoj |
 | Mastering Data Engineering and Analytics with Databricks: A Hands-on Guide to Build Scalable Pipelines Using Databricks, Delta Lake, and MLflow (English Edition) (2024)
by Manoj Kumar |
 | Java Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKS (2024)
by Christudas, Binildas A. |
 | Amazon DynamoDB - The Definitive Guide: Explore enterprise-ready, serverless NoSQL with predictable, scalable performance (2024)
by Dhingra, Aman, Mackay, Mike |
 | Amazon DynamoDB - The Definitive Guide: Explore enterprise-ready, serverless NoSQL with predictable, scalable performance (2024)
by Dhingra, Aman, Mackay, Mike |
 | Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake (2024)
by Chadha, Pulkit |
 | Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake (2024)
by Chadha, Pulkit |
 | Delta Lake: Up and Running: Modern Data Lakehouse Architectures with Delta Lake (2023)
by Haelen, Bennie, Davis, Dan |
 | Mastering Amazon DynamoDB Database: A Comprehensive Guide to Learn Amazon DynamoDB Database (2023)
by Ltd, Cybellium, Hermans, Kris |
 | Building and Delivering Microservices on AWS: Master software architecture patterns to develop and deliver microservices to AWS Cloud (2023)
by Singh, Amar Deep, Carpenter, Jeff |
 | Amazon Web Services in Action, Third Edition: An in-depth guide to AWS (2023)
by Wittig, Andreas, Wittig, Michael |
 | Working With Dynamodb: Using Dynamodb To Reach New Levels Of Performance (2023)
by Crisanti, Ray |
 | The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses on Azure with Delta Lake, Apache Spark, Databricks, Synapse Analytics, and Snowflake (2022)
by L'Esteve, Ron |
 | AWS Cookbook: Recipes for Success on AWS (2022)
by Culkin, John, Zazon, Mike |
 | 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 (2021)
by Kukreja, Manoj, Zburivsky, Danil |
 | Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines (2021)
by Fregly, Chris, Barth, Antje |
 | Programming AWS Lambda: Build and Deploy Serverless Applications with Java (2020)
by Chapin, John, Roberts, Mike |
 | The DynamoDB Book (2020)
by DeBrie, Alex |
 | Learning Amazon Web Services (AWS): A Hands-On Guide to the Fundamentals of AWS Cloud (2019)
by Wilkins, Mark |
 | Serverless Programming Cookbook: Practical solutions to building serverless applications using Java and AWS (2019)
by Kanikathottu, Heartin |
 | Practical Amazon EC2, SQS, Kinesis, and S3: A Hands-On Approach to AWS (2017)
by Gulabani, Sunil |
 | DynamoDB Applied Design Patterns (2014)
by Vyas, Uchit, Kuppusamy, Prabhakaran |
 | Mastering DynamoDB (2014)
by Deshpande, Tanmay |
