09:00 Day 2 – DFØ Loftet

Data/Analytics

Getting started with data streams using Change Data Capture

Olav Gjerde

Olav Gjerde

Olav is a seasoned software developer with more than 20 years of extensive experience in a wide range of programming languages and databases. As a passionate advocate and daily user of Linux and open-source, he has developed extensive knowledge of various open-source tools and frameworks. Olav previously co-founded Boost.ai, a successful startup focused on natural language processing and deep learning technologies.

Today, his professional interests revolve around data engineering, specifically designing and building high-quality training datasets essential for developing robust machine learning and AI systems.

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Change Data Capture (CDC) is an approach used to detect, monitor, and record changes within a database. CDC facilitates real-time analytics and enables the creation of event-driven architectures. It is a feature available in most database offerings.

Overview of Topics We'll Cover:

  • Understanding CDC and Event-Driven Architectures
  • Enabling CDC in Microsoft SQL Server and PostgreSQL
  • Introducing Debezium and Kafka
  • Deploying Debezium: Capturing Data Changes from SQL Server and PostgreSQL and send to Apache Kafka
  • Demo