advanced sql for data analysis

Streaming Systems - by Tyler Akidau & Slava Chernyak & Reuven Lax (Paperback)

Practical Machine Learning for Computer Vision - by Valliappa Lakshmanan & Martin Görner & Ryan Gillard (Paperback)

Fundamentals of Devops and Software Delivery - by Yevgeniy Brikman (Paperback)

Thinking with Data - by Max Shron (Paperback)

Llms and Generative AI for Healthcare - by Kerrie Holley & Manish Mathur (Paperback)

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

Hands-On MySQL Administration - by Arunjith Aravindan & Jeyaram Ayyalusamy (Paperback)

Scaling Graph Learning for the Enterprise - by Ahmed Menshawy & Sameh Mohamed & Maraim Rizk Masoud (Paperback)

Fundamentals of Software Engineering - by Nathaniel Schutta & Dan Vega (Paperback)

High Performance Spark - 2nd Edition by Holden Karau & Adi Polak & Rachel Warren (Paperback)

Practical MLOps - by Noah Gift & Alfredo Deza (Paperback)

Semantic Modeling for Data - by Panos Alexopoulos (Paperback)

Production Kubernetes - by Josh Rosso & Rich Lander & Alex Brand & John Harris (Paperback)

Training Data for Machine Learning - by Anthony Sarkis (Paperback)

Kafka: The Definitive Guide - 2nd Edition by Gwen Shapira & Todd Palino & Rajini Sivaram & Krit Petty (Paperback)

Learning Github Copilot - by Brent Laster (Paperback)

ML and Generative AI in the Data Lakehouse - by Bennie Haelen (Paperback)

Building Recommendation Systems in Python and Jax - by Bryan Bischof Ph D & Hector Yee (Paperback)

Delta Lake: The Definitive Guide - by Denny Lee & Tristen Wentling & Scott Haines & Prashanth Babu (Paperback)

Transformers: The Definitive Guide - by Nicole Koenigstein (Paperback)

MySQL Cookbook - 4th Edition by Sveta Smirnova & Alkin Tezuysal (Paperback)

Practical Tableau - by Ryan Sleeper (Paperback)

Hands-On APIs for AI and Data Science - by Ryan Day (Paperback)

97 Things Every Data Engineer Should Know - by Tobias Macey (Paperback)