This is the code repository for Advanced Applied SQL for Business Intelligence and Analytics [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
This example-driven course provides thoughtful and interactive commentary throughout. We understand the common mistakes and misconceptions you might make and help you navigate tricky SQL concepts.
Window Functions are used in detail throughout the course to solve problems dealing with finding the first order or the Nth instance of an event, computing the timing between events, and new and repeat purchase behaviors among customers. You'll run through the workflow from SQL to a localhost connection in Tableau and also analysis, all of which you'll need in your professional life. Concepts such as CASE statements, common table expressions, and subqueries will be explained via case studies. You'll generate web analytics acquisition source data using Python and then create tables to store your information.
By the end of the course, you will have gone through all the examples and coded them out, and you'll be ready to confidently tackle non-trivial problems. Supercharge your data productivity today with this course and get 100x your time investment back in the next year or two!
Github Link: https://github.com/PacktPublishing/-Advanced-Applied-SQL-for-Business-Intelligence-and-Analytics
- Understand what SQL Server Big data clusters are
- Set up SQL server 2019 big data with Spark
- Use installation tools to help set up SQL server 2019 Big Data with Spark
- Properly deploy Azure Kubernetes Service
- Implement security in SQL server 2019 big data with Spark
- See how to connect to a big data cluster
- Know how the cluster administration portal works
- Get Kubernetes troubleshooting tricks and tips
- Implement Spark jobs
To fully benefit from the coverage included in this course, you will need:
The course is for analysts and developers who have a basic understanding of SQL and interact with data and databases; it will help them understand query complexity with ease.