About Databricks
Lesson objectives
In this lesson, we will explain the following topics:
- Understand the role of Databricks in the Spark ecosystem.
- Learn about Databricks’ contributions to Spark development and the community.
- Explore the capabilities of the Databricks analytics platform.
About Databricks
- Databricks, founded by the early AMPlab team, joined the community to further develop Spark.
- The organization was founded to deliver a comprehensive analytics platform, streamlining Spark’s application in big data processing and analytics.
- Databricks has bridged the gap between academic research and enterprise applications through its managed cloud service and significant contributions to the Spark project.
Beyond Apache Spark
Do You Need Databricks to Work with Spark?
Do You Need Databricks to Work with Spark?
The answer is NO!
Databricks is one of the cloud options to run Apache Spark workload
Do You Need Databricks to Work with Spark?
- Spark workloads can be run both on the Cloud and on-premise.
- Cloud: Choose any preferred cloud provider, like AWS, GCP, Databricks, or Azure.
- On-Premise: Deploy on YARN, Mesos, or Kubernetes.
- Serverless Platforms: For efficient resource management, consider options like:
- AWS: EMR Serverless or AWS Glue.
- GCP: Dataproc.
- Azure: Azure Synapse.
- Databricks: Databricks analytics platform.
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