Easier Stream Processing On Kafka With ksqlDB

Summary In this episode of the Data Engineering Podcast, Jamie Knowles (Product Director) and Ryan Hirsch (Product Marketing Manager) discuss the importance of enterprise data modeling with ER/Studio. They highlight how clear, shared semantic models are a foundational discipline ...  Afficher plus

Summary In this episode of the Data Engineering Podcast, Vasilije "Vas" Markovich, founder of Cognee, discusses building agentic memory, a crucial aspect of artificial intelligence that enables systems to learn, adapt, and retain knowledge over time. He explains the concept of ag ...  Afficher plus

I’m a big believer that database systems share similar core fundamentals at their storage layer and understanding them allows one to compare different DBMS objectively. For example, How documents are stored in MongoDB is no different from how MySQL or PostgreSQL store rows. Ev ...

The communication between backend applications and database systems always fascinated me. The protocols keep evolving and we are in constant search for an efficient protocol that best fit the workload of Backend-DB communication.

In this episode of the backend engineeri ...

MongoDB, Postgres, Microsoft SQL Server, or MySQL, or any other database manages concurrency control differently. There are two methods, pessimistic and optimistic, both have their pros and cons. Let explore how different databases implement this and what is the effect on perf ...

Algorithms & Data Structures are critical to Backend Engineering however it really depends on what kind of application and infrastructure you are building. In this video I want to go through the following   1 Backend Engineers are two types - Integrating Existing ...