bigdata conference

Comptia Data+ Study Guide - (Sybex Study Guide) by Mike Chapple & Sharif Nijim (Paperback)

Vectorization - by Edward Dongbo Cui (Hardcover)

Spark: The Definitive Guide - by Bill Chambers & Matei Zaharia (Paperback)

Winning with Data Science - by Howard Steven Friedman & Akshay Swaminathan (Hardcover)

Starting Data Analytics with Generative AI and Python - by Artur Guja & Marlena Siwiak & Marian Siwiak (Paperback)

Data Pipelines with Apache Airflow, Second Edition - by Julian de Ruiter & Ismael Cabral & Kris Geusebroek & Daniel Van Der Ende & Bas Harenslak

ChatGPT and the Future of AI - by Terrence Sejnowski (Paperback)

Data Engineering Best Practices - by Richard J Schiller & David Larochelle (Paperback)

Bash for Data Scientists - by Oswald Campesato (Paperback)

Principles and Theory for Data Mining and Machine Learning - (Springer Statistics) by Bertrand Clarke & Ernest Fokoue & Hao Helen Zhang

Exploratory Data Analysis Using Fisher Information - by Roy Frieden & Robert A Gatenby (Hardcover)

Microsoft Power BI Cookbook - Third Edition - 3rd Edition by Greg Deckler & Brett Powell (Paperback)

Text as Data - by Justin Grimmer & Margaret E Roberts & Brandon M Stewart

Statistics, Data Mining, and Machine Learning in Astronomy - (Princeton Modern Observational Astronomy) (Hardcover)

Google Data Studio for Beginners - by Grant Kemp & Gerry White (Paperback)

Data Analytics: Techniques and Applications - by Julio Bolton (Hardcover)

Next Generation Data Science and Blockchain Technology for Industry 5.0 - by Amit Kumar Tyagi (Hardcover)

SQL for Data Scientists - by Renee M P Teate (Paperback)

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

Memory Dump Analysis Anthology - (Memory Dump Analysis Anthology (Diagnomicon)) by Dmitry Vostokov & Software Diagnostics Institute (Paperback)

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

Streaming Architecture - by Ted Dunning & Ellen Friedman (Paperback)