Preface

Structured Query Language (SQL) is a widely-used programming language for working with relational databases. In today’s data-driven world, the ability to wrangle, transform, and query data efficiently is a must-have skill.

The knowledge of SQL can develop your skillset in multiple ways:

• Manage and query data proficiently in your favourite programming environment uniformly.

• Feel confident to manage and query data efficiently even in programming environment alien to you; learn once, use everywhere

• Communicate to a Relational Database Management System (RDBMS) server from your programming environment and engage effectively with database manager

• Harness the power of RDBMS from your programming environment without loading data onto memory.

• Use SQL tools in R and Python environments to handle larger than memory datasets.

This tutorial highlights how we can harness the power of SQL in two of the most popular data science languages, R and Python:

• SQL Essentials: Dive into the core SQL concepts, from SELECT statements to JOIN operations.

• Seamless Integration: Discover how to use SQL seamlessly within your R and Python environments.

• Integration with multiple other environments including Microsoft Excel, Microsoft Access and SAS

• Simple Example: Check and view the implementation using simple examples.

• Uniform Data Wrangling: Achieve data consistency across multiple environments without learning new functions.

• Efficiency & Flexibility: Enhance your data analysis capabilities and adapt to diverse data tasks.