Query and visualize data

Use a Databricks notebook to query sample data stored in Unity Catalog using SQL, Python, Scala, and R, and then visualize the query results in the notebook.

Import and visualize CSV data from a notebook

Use a Databricks notebook to import data from a CSV file containing baby name data from https://health.data.ny.gov into your Unity Catalog volume using Python, Scala, and R. You also learn to modify a column name, visualize the data, and save to a table.

Create a table

Create a Delta table and load data into it using Databricks notebooks.

Build an ETL pipeline (DLT)

Build a simple ETL pipeline using Databricks Delta Live Tables for automated data transformations.

Build an ETL pipeline (Apache Spark)

Use Apache Spark on Databricks to build an ETL pipeline for big data processing and transformation.

Train and deploy an ML model

Train and deploy a machine learning model in Databricks using MLflow and Databricks Machine Learning tools.

Query LLMs and prototype gen AI agents

Learn how to use foundation models and large language models to build intelligent applications in Databricks.