Kafka

Practical Testing Strategies for Databricks: A Software Engineer's Journey into Data Engineering

Ioseb Laghidze, a Solution Consultant at Sahaj Software, shared practical strategies for implementing disciplined and reliable testing practices in Databricks-based data engineering projects.Drawing from proven software engineering techniques, he demonstrated how data engineers can validate their pipelines more effectively by designing for testability from the ground up.The talk covered modularizing PySpark transformations for effective unit testing, setting up containerized local environments using PySpark, Delta, and Kafka, designing integration tests that simulate real-world data flows, incorporating testing strategies into CI/CD pipelines,...

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Kafka Basics and Core concepts

Source: https://www.confluent.io/ Let’s start by answering the question “What is Kafka?”. Kafka is a Distributed Streaming Platform or a Distributed Commit Log Let’s try to understand those jargons. Kafka works as a cluster of one or more nodes that can live in different Datacenters, we can distribute data/ load across different nodes in the Kafka Cluster, and it is inherently scalable, available, and fault-tolerant. Kafka stores data as a stream of continuous records which can be processed in different methods. This...

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