Episode description

Highlights from this week’s conversation include:

• Building Dozer: Simplifying Data Sources into APIs (1:13)
• Bridging Data Engineering with Application Engineering (4:19)
• Turning Data Sources into APIs (7:46)
• The cost of caching (12:59)
• Challenges with legacy systems (14:30)
• Real-time data integration (19:31)
• YAML and SQL experience (25:37)
• Behind the scenes of Dozer (29:18)
• Heavy Workloads and Low Latency (42:00)
• Use Cases of Dozer (45:51)
• Reliability and storing data from different connectors (51:35)
• Importance of observability in serving data to customers (53:24)
• Final thoughts and takeaways (56:34)

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.

.