Title: Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale, Author: Gaurav Ashok Thalpati
Title: Hadoop in 24 Hours, Sams Teach Yourself, Author: Jeffrey Aven
Title: Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists, Author: Alice Zheng
Title: R for Everyone: Advanced Analytics and Graphics, Author: Jared Lander
Title: Big Data Fundamentals: Concepts, Drivers & Techniques, Author: Thomas Erl
Title: The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data, Author: Ralph Kimball
Title: Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes, Author: Denny Lee
Title: Building the Data Warehouse, Author: W. H. Inmon
Title: Text Mining with R: A Tidy Approach, Author: Julia Silge
Title: The Well-Grounded Data Analyst: Solve messy data problems like a pro, Author: David Asboth
Title: Mastering OpenTelemetry and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages, Author: Steve Flanders
Title: Grokking Relational Database Design, Author: Qiang Hao
Title: The Data Warehouse Lifecycle Toolkit, Author: Ralph Kimball
Title: Streaming Databases: Unifying Batch and Stream Processing, Author: Hubert Dulay
Title: Doing Data Science: Straight Talk from the Frontline, Author: Cathy O'Neil
Title: Getting Started with Data Science: Making Sense of Data with Analytics / Edition 1, Author: Murtaza Haider
Title: High Performance MySQL: Proven Strategies for Operating at Scale, Author: Silvia Botros
Title: Data Warehousing For Dummies, Author: Thomas C. Hammergren
Title: Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms, Author: Nithin Buduma
Title: Efficient MySQL Performance: Best Practices and Techniques, Author: Daniel Nichter

Pagination Links