With Learning SQL, you'll quickly learn how to put the power and flexibility of this language to work.

With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design ...

The common examples are based on real-life experiences and have been thoroughly class-tested. This book is immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data.

Exercises let you practice the skills you learn. Knowledge of SQL is a must for interacting with data. With Learning SQL, you’ll quickly discover how to put the power and flexibility of this language to work.

With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design ...

This book provides the tools needed to thrive in today’s big data world.

The third edition of The Data Warehouse Toolkit covers: Practical design techniques—both basic and advanced—for dimension and fact tables 14 case studies, including retail sales, electronic commerce, customer relationship management, ...

This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more.

With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

A guide to SQL covers such topics as retrieving records, metadata queries, working with strings, data arithmetic, date manipulation, reporting and warehousing, and hierarchical queries.