Overview
Databricks Get Started Days is a half-day virtual event to sharpen your data engineering and analysis skills. This interactive training is the perfect way to dive in and learn about Databricks. Hereโs what makes Get Started Days special:
- Practical Learning: Demo sessions tailored for beginners.
- Quick & Convenient: Two sessions in just half a day.
- Global Access: Choose a time zone that fits your schedule.
- Exclusive Perks: Attend and complete the survey to unlock a 30-day free coupon for Databricks Academy Labs!
This event is held during AMER-friendly timezone.
Registration
Course Description: Get Started with Databricks for Data Engineering
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. You will be given a tour of the workspace and be shown how to work with objects in Databricks such as catalogs, schemas, volumes, tables, compute clusters and notebooks. You will then follow a basic data engineering workflow to perform tasks such as creating and working with tables, ingesting data into Delta Lake, transforming data through the medallion architecture, and using Databricks Workflows to orchestrate data engineering tasks. Youโll also learn how Databricks supports data warehousing needs through the use of Databricks SQL, Delta Live Tables, and Unity Catalog. With the purchase of a Databricks Labs subscription, the course also closes out with a comprehensive lab exercise to practice what youโve learned in a live Databricks Workspace environment.
Course Description: Get Started with SQL Analytics and BI on Databricks
In this course, you will learn basic skills that will allow you to use the Databricks Data Intelligence Platform to perform a simple data analytics workflow and support data warehousing endeavors. You will be given a tour of the workspace and be shown how to work with data objects in Databricks such as catalogs, schemas, tables, compute clusters, notebooks, and dashboards. You will then follow a basic data analytics workflow to perform tasks such as manipulating data using Databricks SQL, leveraging Delta Lake version logs to time travel, creating dashboards within the platform, and creating Genie Spaces for data exploration using natural language prompts. You will also learn how Databricks supports data warehousing needs through the use of Databricks SQL, Delta Live Tables, and Unity Catalog.
