Automate Databricks Infrastructure as Code with Terraform
This article describes how to Implement Infrastructure as Code Databricks with Terraform.
This article describes how to Implement Infrastructure as Code Databricks with Terraform.
Learn how to use the Databricks VACUUM command to remove obsolete Delta Lake data files, preview deletions with DRY RUN, configure retention, and follow safe maintenance practices.
Compare Kafka Streams and Spark Structured Streaming across architecture, processing model, latency, state management, fault tolerance, integrations, and practical use cases. Learn which approach fits your streaming workload.
In this post, We have documented how to conquer the Databricks Certified Data Engineer Associate certification in this article. Databricks has introduced the Data Engineering Associate exam which consists of 45 multiple-choice questions. The time slot allocated is 1.30 hr. The passing score is 32 which is 70%. High-level topics with their weightage in the exam are:
Learn how to create and manage Databricks secret scopes, compare Databricks-backed and Azure Key Vault-backed scopes, configure permissions, access secrets, and delete scopes.
Learn how to access Azure Data Lake Storage in Databricks using Unity Catalog, and understand the legacy DBFS mount and unmount approach.
Learn how to run a Databricks notebook from another notebook using %run and dbutils.notebook.run(), pass parameters, return values, and execute notebooks sequentially or in parallel.