Data processing articles

Looking for something else? Check the categories of Data processing:

Apache Beam Apache Spark Apache Spark GraphFrames Apache Spark GraphX Apache Spark SQL Apache Spark Streaming Apache Spark Structured Streaming PySpark

If not, below you can find all articles belonging to Data processing.

Directed Acyclic Graph in Spark

As we already know, RDD is the main data concept of Spark. It's created either explicitly or implicitly, through computations called transformations and actions. But these computations are all organized as a graph and scheduled by Spark's components. This graph is called DAG and it's the main topic of this post.

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Introduction to Spark Streaming

Spark Streaming is a powerful extension of Spark which helps to work with streams efficiently. In this article we'll present basic concepts of this extension.

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Actions in Spark

In Spark, actions are the final results of operations on RDDs. Without them, transformations are meaningless and difficult to use by applications.

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Transformations in Spark

One of methods generating new RDD consists on applying transformations on already existent RDDs. But transformations not only makes new RDDs but also gives a sense to all data processing.

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Data representation in Spark - RDD

The first post about Spark internals concerns Resilient Distributed Dataset (RDD), an abstraction used to represent processed data.

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