![186: Data Fusion and The Future Of Specialized Databases with Andrew Lamb of InfluxData - podcast episode cover](https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/14097a90-1870-49e5-8b69-d022132ae39f/3000x3000/audio-cover-2.jpg?aid=rss_feed)
Episode description
Highlights from this week’s conversation include:
- The Evolution of Data Systems (0:47)
- The Role of Open Source Software (2:39)
- Challenges of Time Series Data (6:38)
- Architecting InfluxDB (9:34)
- High Cardinality Concepts (11:36)
- Trade-Offs in Time Series Databases (15:35)
- High Cardinality Data (18:24)
- Evolution to InfluxDB 3.0 (21:06)
- Modern Data Stack (23:04)
- Evolution of Database Systems (29:48)
- InfluxDB Re-Architecture (33:14)
- Building an Analytic System with Data Fusion (37:33)
- Challenges of Mapping Time Series Data into Relational Model (44:55)
- Adoption and Future of Data Fusion (46:51)
- Externalized Joins and Technical Challenges (51:11)
- Exciting Opportunities in Data Tooling (55:20)
- Emergence of New Architectures (56:35)
- Final thoughts and takeaways (57:47)
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.