Tributary Data

Delta Lake is a powerful open-source storage layer that brings ACID transactions to Apache Spark and big data workloads. It provides…

Delta tables are a new type of table in Databricks that provide a powerful and efficient way to work with big data. They are optimized for…

In today’s data-driven landscape, businesses seek powerful solutions to harness the full potential of their data. This post aims to guide…

Partitioning is a fundamental concept in distributed data systems like Databricks, aimed at improving data organization and retrieval…

What are Webhooks, how do they work, and what challenges you face when implementing them

The data engineer will frequently work with many types of data to execute numerous operations utilizing a variety of scripting or coding…

How to apply the practices of Change Data Capture to reliably move data from operational databases to other systems for other purposes.

The layered architecture of the platform, what types of data exist in the retail domain, and how that should be ingested into Kafka using…

Share your wisdom on event-driven systems with our ever-growing EdU community

Not all real-time analytics systems are made equal by design. We can classify them into four groups based on five dimensions.

How these two non-JVM based products make stream processing accessible for the masses by reducing the operational overhead

How to implement a simple Kafka consumer that detects and discards duplicate messages.