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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