data strategy examples

Graph Databases - 2nd Edition by Ian Robinson & Jim Webber & Emil Eifrem (Paperback)

Machine Learning For Dummies - 2nd Edition by John Paul Mueller (Paperback)

Learning Microsoft Power Bi - by Jeremey Arnold (Paperback)

Observability Engineering - by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)

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

Essential Math for AI - by Hala Nelson (Paperback)

Mastering Shiny - by Hadley Wickham (Paperback)

Learn Salesforce Lightning - by Felicia Duarte & Rachelle Hoffman (Paperback)

Learning PySpark - by Denny Lee & Tomasz Drabas (Paperback)

Building Machine Learning Systems with a Feature Store - by Jim Dowling (Paperback)

Reliable Machine Learning - by Cathy Chen & Niall Richard Murphy & Kranti Parisa & D Sculley & Todd Underwood (Paperback)

Real-Time Intelligence with Microsoft Fabric - by Brattã S Johan Ludvig & Frank Geisler (Paperback)

Deep Learning - (MIT Press Essential Knowledge) by John D Kelleher (Paperback)

Programming Pytorch for Deep Learning - by Ian Pointer (Paperback)

AI at the Edge - by Daniel Situnayake & Jenny Plunkett (Paperback)

Mastering PyTorch - Second Edition - 2nd Edition by Ashish Ranjan Jha (Paperback)

Deep Learning - by Josh Patterson & Adam Gibson (Paperback)

Infrastructure-As-Code Automation Using Terraform, Packer, Vault, Nomad and Consul - by Navin Sabharwal & Sarvesh Pandey & Piyush Pandey (Paperback)

Statistics Every Programmer Needs - by Gary Sutton (Paperback)

Deep Reinforcement Learning in Action - by Alexander Zai & Brandon Brown (Paperback)

RAG-Driven Generative AI - by Denis Rothman (Paperback)

Mongodb: The Definitive Guide - 3rd Edition by Shannon Bradshaw & Eoin Brazil & Kristina Chodorow (Paperback)

Extending Excel with Python and R - by Steven Sanderson & David Kun (Paperback)

Tubes - by Andrew Blum (Paperback)