Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Data Analytics for Absolute Beginners: Make Decisions Using Every Variable: (Introduction to Data, Data Visualization, Business Intelligence & Machine ... Data Science & Python Books for Beginners)

Microsoft Excel Mastery: From Beginners to Experts – The Complete Guide to Formulas, Functions, and Real-World Applications

Hands-On Large Language Models: Language Understanding and Generation

Python All-in-One For Dummies

Data Modeling Made Simple: A Practical Guide for Business and IT Professionals, 2nd Edition

Machine Learning For Absolute Beginners: A Plain English Introduction (Second Edition) (Learn AI, Data Science & Python Books for Beginners)

The Art of Statistics: How to Learn from Data

Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness

ColorWise: A Data Storyteller's Guide to the Intentional Use of Color

Ace the Data Engineering Interview: Questions and Answers for Python, SQL, Data Modeling and More

Deep Learning for Beginners: A beginner's guide to getting up and running with deep learning from scratch using Python

The Machine Learning Solutions Architect Handbook: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

Mastering Kafka Streams and ksqlDB: Building Real-Time Data Systems by Example

Business Intelligence in Plain Language: A practical guide to Data Mining and Business Analytics

Super Easy Excel: Elevate Your Skills and Conquer any Spreadsheet Challenge with Confidence Through this User-Friendly Guide Designed for Absolute Beginners

Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python, 3rd Edition

The Definitive Guide to Power Query (M): Mastering complex data transformation with Power Query

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Power Pivot and Power BI: The Excel User's Guide to DAX, Power Query, Power BI & Power Pivot in Excel 2010-2016

Data Pipelines Pocket Reference: Moving and Processing Data for Analytics

Microsoft Power BI Performance Best Practices: Learn practical techniques for building high-speed Power BI solutions

Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG

System Design Interview: The Complete Guide to Mastering Complex System Design Interviews (Computer Programming)

Modeling and Simulation in Python: An Introduction for Scientists and Engineers

Data Engineering with AWS: Acquire the skills to design and build AWS-based data transformation pipelines like a pro

In-Memory Analytics with Apache Arrow: Accelerate data analytics for efficient processing of flat and hierarchical data structures