A Practical Approach to Data Structures and Algorithms

Designing Data-Intensive Applications

The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Python All-in-One For Dummies

3rd Edition

Microsoft Power BI For Dummies

For Dummies (Computer/Tech)

R for Data Science

Import, Tidy, Transform, Visualize, and Model Data

Hands-On Large Language Models

Language Understanding and Generation

Building a Scalable Data Warehouse with Data Vault 2.0

Data-driven BIM for Energy Efficient Building Design

1st Edition

Spark : The Definitive Guide

Big Data Processing Made Simple

Data Science from Scratch

First Principles with Python

Design Unlimited

Visual Communication and Storytelling with Generative Design and Data

Deciphering Data Architectures

Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Apache Iceberg: The Definitive Guide

Data Lakehouse Functionality, Performance, and Scalability on the Data Lake

Fundamentals of Data Engineering

Plan and Build Robust Data Systems

R All-in-One For Dummies

For Dummies

Architecting Data and Machine Learning Platforms

Enable Analytics and Ai-Driven Innovation in the Cloud

Behavioral Data Analysis with R and Python

Customer-Driven Data for Real Business Results

SQL for Data Analysis

Advanced Techniques for Transforming Data Into Insights

Mastering Shiny

Build Interactive Apps, Reports, and Dashboards Powered by R

Data Governance: The Definitive Guide

People, Processes, and Tools to Operationalize Data Trustworthiness

Think Stats

Exploratory Data Analysis

Python for Finance

Mastering Data-Driven Finance

R Graphics Cookbook

Practical Recipes for Visualizing Data

Kafka: The Definitive Guide

Real-Time Data and Stream Processing at Scale

Practical Time Series Analysis

Prediction with Statistics and Machine Learning