Easier Stream Processing On Kafka With ksqlDB

Summary In this episode, I sit down with Gleb Mezhanskiy, CEO and co-founder of Datafold, to explore how agentic AI is reshaping data engineering. We unpack the leap from chat-assisted coding to truly agentic workflows where AI not only writes SQL and dbt models but also executes ...  Show more

Summary In this episode Himant Goyal, Senior Product Manager at Salesforce, talks about how data platform investments enable reliable, accurate metering for consumption-based business models. Himant explains why consumption turns operations into a real-time optimization problem s ...  Show more

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 ...