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

Summary

In this chapter, we have covered a wide variety of topics designed to help us understand and improve the performance of our SQL queries. The chapter began with a thorough discussion of the query planner, (including the EXPLAIN and ANALYZE statements) as well as various indexing methods. We discussed a number of different compromises and considerations that can be made to reduce the time needed to execute queries.

We considered a number of scenarios where indexing methods would be of benefit and others where the query planner may disregard the index, thus reducing the efficiency of the query. We then moved on to the use of joins to efficiently combine information from a number of different tables and ended with an in-depth look at functions and automatic function calls through the use of triggers. We have also covered the /df and /sf commands and learned how to kill long-running queries.

In the next chapter, we will combine all of the topics we have covered thus far in...