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
Managing Data Integrity for Finance - Discover practical data quality management strategies for finance analysts and data professionals
Jane Sarah Lat
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
Redis Stack for Application Modernization - Build real-time multi-model applications at any scale with Redis
Luigi Fugaro, Mirko Ortensi
Data Observability for Data Engineering - Proactive strategies for ensuring data accuracy and addressing broken data pipelines
Michele Pinto, Sammy El Khammal
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
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
Modern Data Architectures with Python - A practical guide to building and deploying data pipelines data warehouses and data lakes with Python
Lipp Brian
Serverless Machine Learning with Amazon Redshift ML - Create train and deploy machine learning models using familiar SQL commands
Debu Panda, Phil Bates, Bhanu Pittampally, Sumeet Joshi
Driving Data Quality with Data Contracts - A comprehensive guide to building reliable trusted and effective data platforms
Andre Jones
Data Modeling with Snowflake - A practical guide to accelerating Snowflake development using universal data modeling techniques
Serge Gershkovich
Data Ingestion with Python Cookbook - A practical guide to ingesting monitoring and identifying errors in the data ingestion process
Gláucia Esppenchutz
SQL Query Design Patterns and Best Practices - A practical guide to writing readable and maintainable SQL queries using its design patterns
Steve Hughes, Chi Zhang, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews
Learn Azure Synapse Data Explorer - A guide to building real-time analytics solutions to unlock log and telemetry data
Pericles (Peri) Rocha
Salesforce Data Architect Certification Guide - Comprehensive coverage of the Salesforce Data Architect exam content to help you pass on the first attempt
Aaron Allport
Azure Data Engineering Cookbook - Get well versed in various data engineering techniques in Azure using this recipe-based guide
Ahmad Osama, Nagaraj Venkatesan
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