End of Abundance in Tech - How IT Leaders Can Find Efficiencies to Drive Business Value
Ben DeBow
Computer Science - Learn about Algorithms Cybersecurity Databases Operating Systems and Web Design
Jonathan Rigdon
Databases - System Concepts Designs Management and Implementation
Jonathan Rigdon
Python Data Cleaning Cookbook - Prepare your data for analysis with pandas NumPy Matplotlib scikit-learn and OpenAI
Michael Walker
Data Governance Handbook - A practical approach to building trust in data
Wendy S. Batchelder
The Ultimate Guide to Snowpark - Design and deploy Snowpark with Python for efficient data workloads
Shankar Narayanan SGS, Vivekanandan SS
Power BI for Business Professionals - Step-by-Step Techniques to Transform Data into Actionable Business Insights
Anthony Ainsley
Databricks ML in Action - Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
Amanda Baker, Stephanie Rivera, Anastasia Prokaieva, Hayley Horn
Ultimate Snowflake Architecture for Cloud Data Warehousing - Architect Manage Secure and Optimize Your Data Infrastructure Using Snowflake for Actionable Insights and Informed Decisions
Ganesh Bharathan
The Definitive Guide to Data Integration - Unlock the power of data integration to efficiently manage transform and analyze data
Pierre-yves Bonnefoy, Emeric Chaize, Raphaël Mansuy, Mehdi Tazi
Fundamentals of Analytics Engineering - An introduction to building end-to-end analytics solutions
Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira
Engineering Data Mesh in Azure Cloud - Implement data mesh using Microsoft Azure's Cloud Adoption Framework
Aniruddha Deswandikar
Learn Microsoft Fabric - A practical guide to performing data analytics in the era of artificial intelligence
Arshad Ali, Bradley Schacht
Azure Data Factory Cookbook - A data engineer's guide to building and managing ETL and ELT pipelines with data integration
Dmitry Anoshin, Dmitry Foshin, Tonya Chernyshova, Xenia Hertzenberg
Data Engineering with Scala and Spark - Build streaming and batch pipelines that process massive amounts of data using Scala
Eric Tome, Rupam Bhattacharjee, David Radford
Machine Learning Infrastructure and Best Practices for Software Engineers - Take your machine learning software from a prototype to a fully fledged software system
Miroslaw Staron
Managing Data Integrity for Finance - Discover practical data quality management strategies for finance analysts and data professionals
Jane Sarah Lat
Deep Learning - Computer Vision Python Machine Learning And Neural Networks
Rob Botwright
Data Observability for Data Engineering - Proactive strategies for ensuring data accuracy and addressing broken data pipelines
Michele Pinto, Sammy El Khammal
Redis Stack for Application Modernization - Build real-time multi-model applications at any scale with Redis
Luigi Fugaro, Mirko Ortensi
DBMS MASTER - Become Pro in Database Management System
Ummed Singh
PostgreSQL 16 Administration Cookbook - Solve real-world Database Administration challenges with 180+ practical recipes and best practices
Simon Riggs, Gianni Ciolli, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar
All About Data Science - Learn Data Science from scratch
Devi Prasad
Data Exploration and Preparation with BigQuery - A practical guide to cleaning transforming and analyzing data for business insights
Mike Kahn
Practical Machine Learning on Databricks - Seamlessly transition ML models and MLOps on Databricks
Debu Sinha
Cracking the Data Engineering Interview - Land your dream job with the help of resume-building tips over 100 mock questions and a unique portfolio
Kedeisha Bryan, Taamir Ransome
Data Engineering with AWS - Acquire the skills to design and build AWS-based data transformation pipelines like a pro
Gareth Eagar
Advanced Analytics with Power BI and Excel - Learn powerful visualization and data analysis techniques using Microsoft BI tools along with Python and R
Dejan Sarka
Practical Data Quality - Learn practical real-world strategies to transform the quality of data in your organization
Robert Hawker
Streamlit for Data Science - Create interactive data apps in Python
Tyler Richards