PyKX Developer

Learning Objectives 

Take your PyKX knowledge to the next level with this course, covering building and querying a real-time and historical architecture. You’ll learn about each of the key components in the ticker architecture including: 

• Building a historical database (HDB) 
• Compressing and ingesting data into the HDB 
• Optimizing query structure to speed up analytics 
• Building a real-time architecture that ingests live data 
• Developing APIs for analytics across real-time and historical data 
• Advanced queries 

Who is this course for? 

This course is aimed at users who have a working knowledge of Python and have completed the Introduction to PyKX course. No prior experience with kdb+/q is required. This course is for users who want to learn to implement a real-time and historical data architecture with PyKX. 

What do I receive for taking this course? 

At the end of the course, there is a final quiz.

You must achieve 80% or over in this quiz in order to receive a Certificate of Achievement which will live on your profile. You can download it and share it on social media or LinkedIn.