Books

Official pandas documentation, while thorough, does not contain many useful examples. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.

Python Feature Engineering Cookbook, Third Edition, walks you through tools and methods to craft powerful features from tabular, transactional, and time-series data for robust machine learning models.

Machine learning is an important driver of innovation in software products. This book will help you take your machine learning prototype to the next level and scale it up using concepts such as data provisioning, processing, and quality control.

Machine learning is an important driver of innovation in software products. This book will help you take your machine learning prototype to the next level and scale it up using concepts such as data provisioning, processing, and quality control.

Learn T-SQL Querying, Second Edition, is an up-to-date reference designed to help you write more efficient T-SQL code to perform simple-to-advanced tasks for data management and data analysis tasks.

Polars Cookbook is a compilation of practical recipes for efficient data wrangling using Python Polars. The book teaches you how to solve common data problems using Polars, create solutions tailored towards your specific use case, and more.

Overcome common challenges in data management, visualization, and security with this updated edition of Microsoft Power BI Performance Best Practices, and ramp-up your Power BI solutions, achieve faster insights, and drive better business outcomes.

In today’s project-based, SCRUM “infested” web development work scene you are either a Junior starting out or a Senior who lacks in-depth knowledge. There seems to be no in-between! After reading this book you will be a Medior PHP Developer who can deliver a web application from start to finish!

The Definitive Guide to Data Integration is for data eclectics looking to explore the modern data stack. Complete with practical examples and insights, it covering tools, techniques, and best practices to unleash your data's potential.

This book will guide you through the fundamental and advanced features of the Snowpark framework in Python. You’ll learn how to use Snowpark for implementing workloads in the fields of data engineering, data science, and data applications.

Learn new techniques to ingest, transform, merge, and deliver trusted data to downstream users using modern cloud data architectures and Scala, and learn end-to-end data engineering that will make you the most valuable asset on your data team.

Whether you're a seasoned Tableau user or just starting out, this book is a comprehensive resource to mastering Tableau and achieving certification success. Learn how to unlock the full potential of Tableau with this essential exam guide.

A book about data modeling in the digital age, isn't that strange? When I look at my daily work in which data modeling plays a central role, I don't think so. Data modeling provides control over data from perspectives such as governance, data management, software development and business intelligence. That's why a reference work with modeling forms and an example of a three-layer data model based on an integrated conceptual, logical and physical data model.

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Build cutting-edge API products confidently, excelling in today's competitive market with this comprehensive guide on API fundamentals, inner workings, and steps for successful API product development.