Explore real-time data transformation and analytics with dbt Labs in this 44-minute podcast episode from Confluent. Discover how dbt Core and dbt Cloud are revolutionizing data pipelines and empowering businesses to bring more contributors into the analytics process. Learn about the Modern Data Stack, the role of dbt in ELT processes, and how analysts can adapt to streaming data. Gain insights on improving workflows, democratizing data access, and implementing best practices from software engineering in data analytics. Delve into topics such as unit testing with dbt, the future of batch and streaming solutions, common mistakes in event streaming, and industry trends to watch. Perfect for data analysts, engineers, and business professionals interested in advancing their data transformation and analytics capabilities.
Real-Time Data Transformation and Analytics with dbt Labs
Overview
Syllabus
- Intro
- What is MDS?
- What is dbt?
- Who uses dbt?
- How does someone get started with dbt?
- How does dbt fit into the world of streaming?
- How can you do unit testing with dbt?
- Will batch and streaming always be a part of the solution?
- What are event streamers doing wrong?
- What are some things to know about data testing with dbt?
- What should people be watching for in the industry?
- It's a wrap!
Taught by
Confluent
