Book Image

The Applied SQL Data Analytics Workshop - Second Edition

By : Matt Goldwasser, Upom Malik, Benjamin Johnston
3.5 (2)
Book Image

The Applied SQL Data Analytics Workshop - Second Edition

3.5 (2)
By: Matt Goldwasser, Upom Malik, Benjamin Johnston

Overview of this book

Every day, businesses operate around the clock and a huge amount of data is generated at a rapid pace. Hidden in this data are key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. Are you ready to enter the exciting world of data analytics and unlock these useful insights? Written by a team of expert data scientists who have used their data analytics skills to transform businesses of all shapes and sizes, The Applied SQL Data Analytics Workshop is a great way to get started with data analysis, showing you how to effectively sieve and process information from raw data, even without any prior experience. The book begins by showing you how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you'll learn how to write SQL queries to aggregate, calculate and combine SQL data from sources outside of your current dataset. You'll also discover how to work with different data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you'll finally be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of The Applied SQL Data Analytics Workshop, you'll have the skills you need to start identifying patterns and unlocking insights in your own data. You will be capable of looking and assessing data with the critical eye of a skilled data analyst.
Table of Contents (9 chapters)
Preface
7
7. The Scientific Method and Applied Problem Solving

Introduction

Data has fundamentally transformed the 21st century. Thanks to easy access to computers, companies, and organizations have been able to change the way they work with larger and more complex datasets. Using data, insights that would have been virtually impossible to derive 50 years ago can now be found with just a few lines of computer code. Two of the most important tools in this revolution are the relational database and its primary language, Structured Query Language (SQL).

While we could, in theory, analyze all data by hand, computers are far better at the task and are certainly the preferred tool for storing, organizing, and processing data. Among the most critical of these data tools are the relational database and language used to access it, SQL. These two technologies have been cornerstones of data processing and continue to be the backbone of most companies that deal with substantial amounts of data.

Companies use SQL as the primary method for storing much of their data. Furthermore, companies now take much of this data and put it into specialized databases called data warehouses and data lakes so that they can perform advanced analytics on their data. Virtually all of these data warehouses and data lakes are accessed using SQL. We'll be looking at working with SQL using analytics platforms such as data warehouses.

We assume that every person following this chapter has had some basic exposure to SQL. However, for those users who have very limited exposure to SQL, or have just not used it for some time, this chapter will provide a basic refresher of what relational databases and SQL are, along with a basic review of SQL operations and syntax. We will also go over practice exercises to help reinforce these concepts.

Let's first understand data and its types in the next section.