Databases

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.

With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premises. You’ll learn how to transform, clean, and consolidate data into a single data platform and get to grips with ADF

Supabase supercharges web development with scalable backend solutions. With this book, you'll build secure, real-time apps of any size by leveraging Supabase's powerful Row Level Security and eliminating the need for separate backend development.

Approach data science interviews with confidence with this one-stop guide focused on Python programming, SQL, shell/bash, version control, statistics, and ML modeling. No need to scan the internet for technical interview prep material—it’s all here!

Boost your analytics engineering journey with this comprehensive guide, written by 7 industry experts. This book is an indispensable resource that arms you with all the knowledge, skills, and insights you need to excel in this rapidly evolving field.

Principles of Data Science provides an end-to-end framework for cultivating critical thinking about data, performing practical data science, building performant machine learning models, and mitigating bias in AI pipelines. Learn the fundamentals of computational math and stats while exploring modern machine learning and large pre-trained models.

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you’ll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.

The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.

50 questions - with detailed answers - asked by my students on Udemy