Introduction to KDB-X

Learning Objectives

In this course, you will gain a foundational understanding of KDB-X as the next generation of kdb+, through introductions to q, KDB-X Python and SQL. This course brings together content from other introductory courses to showcase the interoperability of KDB-X.

Using q, you will learn how to query large tables, combine tables using bitemporal joins and write your own functions.

Using KDB-X Python, you will learn to generate KDB-X Python objects from Python objects, query large KDB-X Python datasets and perform time series analysis.

Using KDB-X SQL, you will learn how to perform basic SQL queries, what SQL functionality is supported in KDB-X, how to apply parameters, perform pre-parsing and see interoperability in action.

Who is this course suitable for?

This course is aimed at beginner users of KDB-X, those who have a working knowledge of Python, but little or no experience using q is required. Some knowledge of SQL will be beneficial.

What do I receive for taking this course?

Once you have gone through all the course content, the final step is to complete the quiz at the end of the course. If you receive 80% in this quiz, you will receive a Certificate of Achievement which will exist on your profile, or you can download it and share it on social media or LinkedIn.