Laktory SparkChain - A serializable spark-based data transformations

In our previous article, we explored the pros and cons of using Spark versus SQL for data transformations within data pipelines. We concluded that while Spark excels in creating modular and scalable transformations, it falls short in the portability and declarative simplicity offered by SQL queries. Today, we will delve deeper into Laktory's SparkChain model, which aims to integrate the strengths of both technologies.

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Mastering Streaming Data Pipelines with Kappa Architecture

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Sparkling Queries | An In-Depth Spark vs SQL for data pipelines