In this video, we'll give you an introduction to Pyspark and show you how to process data and queries with Apache Spark.
We'll begin by briefly explaining the background of Apache Spark. We'll then go into more detail about the platform's structure and which APIs you can interact with within this system.
We'll also briefly describe the role of machine learning in Apache Spark.
Furthermore, we'll provide an example demo to show you, using practical examples, how you can use the Python API in Apache Spark to process your data and simple queries, and thus communicate with Spark via Python.
This video provides a simple introduction to Apache Spark and Pyspark and shows you, using examples, how you can easily write your own ETL processes and machine learning processes.
Notebook: What is Apache Spark?:
https://github.com/datasolut/databric...
Website:
You can find out more about Apache Spark in our blog at:
https://datasolut.com/was-ist-spark/
https://datasolut.com/etl-mit-spark/
Our website: https://datasolut.com
LinkedIn: / datasolut