Here’s a comprehensive guide to training on Databricks, including the key resources and pathways you can take:

Databricks: A Primer

• Cloud-based Platform: Databricks is a unified data analytics platform built on top of Apache Spark. It’s designed for data science, data engineering, and machine learning at scale.
• Collaborative Workspaces: Databricks offers interactive workspaces where you can use notebooks (Python, Scala, R, SQL) to explore, process, and model data.
• Data Lakehouse Architecture: Databricks champions the concept of the ‘data lakehouse,’ combining the scalability of data lakes with the reliability and structure of data warehouses.

Training Options

Databricks offers several ways to gain expertise in the platform:

1. Free Training from Databricks 
   • Excellent starting point for newcomers.
   • Self-paced courses on Databricks fundamentals.
   • Hands-on experience without immediate need for a subscription.
2. External Learning Platforms

• Unogeeks Training Institute: offers several ways to gain our acheivements

Additional Tips

• Real-World Practice: Work on your own datasets or find public datasets to solidify your understanding.
• Databricks Community:  Engage with the active Databricks community for help and support.
• Data + AI Summit: Attend Databricks’ annual conference for the latest trends and updates .