Spark Environments
Explore different Spark deployment options including self-hosted clusters, cloud services such as AWS EMR and GCP Cloud Dataproc, and vendor-managed environments like Databricks. Learn the considerations for choosing an ecosystem based on cost, scalability, and multi-tenancy. Understand how to start quickly with PySpark in notebook environments and stay updated with the evolving Spark ecosystem to build scalable batch pipelines.
We'll cover the following...
We'll cover the following...
There are a variety of ways to both configure Spark clusters and submit commands to a cluster for execution. When getting started with PySpark as a data scientist, my recommendation is to use a freely-available notebook environment for getting up and running with Spark as quickly as ...
