In this course, you will learn basic skills that will allow you to use the Databricks Data Intelligence Platform to perform a simple data engineering workflow and support data warehousing endeavors.
Two paths to connect Kiro IDE to Databricks: the four Databricks-managed MCP servers (Genie, SQL, Unity Catalog Functions, AI Search) for a 10-minute PAT-based setup, or the Databricks Power, which ...
A self-documenting Databricks App that teaches you how to build production apps on the platform by being one. Every demo page ships with a "How was this built?" side panel that surfaces the actual ...
# MAGIC [dbdemos](https://pypi.org/project/dbdemos/) is a Python library that installs complete Databricks demos in your Databricks workspaces. Dbdemos will load and ...
Tutorial: Run Python on a cluster and as a job using the Databricks extension for Visual Studio Code
In this step, you create a new Databricks project and configure the connection with your remote Azure Databricks workspace. Create a local Python code file: on the sidebar, click the folder (Explorer) ...
AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes. And ...
The new agentic code converter uses Genie Code-powered agents to analyze, translate, validate, and refine SQL workloads moving from Teradata, Snowflake, Redshift, and SQL Server. Databricks is adding ...
CI/CD (Continuous Integration and Continuous Delivery) has become a cornerstone of modern data engineering and analytics, as it ensures that code changes are integrated, tested, and deployed rapidly ...
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