SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights

Time Series Analysis with Python Cookbook: Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection

Knowledge RAG Mastery: A Practical Guide to Retrieval-Augmented Generation, Knowledge Graphs, Vector Databases, Enterprise Search, and Building Accurate, Scalable LLM-Powered AI Systems

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

Redis Cookbook: Practical Techniques for Fast Data Manipulation

Data Modeling Interview Handbook: Star Schema, Snowflake, Data Vault, Lakehouse, dbt & 100 Real-World Interview Questions for Data Engineers (Data Engineering Book 13)

Data First. AI Next.: Building the AI-Ready Data Foundation for Commercial Pharma

M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query

Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

Python Data Cleaning Cookbook: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI