3 Major Differences Between Spark Declarative Pipelines (SDP) and Traditional Spark

There are 3 important differences you need to know between Spark Declarative Pipelines and the traditional, imperative way of using Spark:

1️⃣ You define your data flow with decorated functions that return only DataFrames.
2️⃣ You can define tables in any order.
3️⃣ You execute everything at once using the CLI.

Spark Declarative Pipelines executes the functions for you and handles storage paths. This means way less boilerplate and less space for human error.

📙 Check out the Spark Declarative Pipelines Programming Guide to learn more: https://spark.apache.org/docs/4.1.0/declarative-pipelines-programming-guide.html

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