Your updated resource guide to the Databricks Data Intelligence Platform

[Taha_Hussain]

Want to increase your Databricks knowledge? Look no further!

Here’s a guide filled with key resources you’ll need while working on the Databricks Data Inteligence Platform. 

Bookmark these pages for future reference, or apply these learnings during the first Databricks Learning Festival, a limited-time opportunity to access free, in-depth, role-based training. The Databricks Learning Festival is live now, and will continue until December 15, 2023.

New Users

1. Get up to speed on the Databricks Data Intelligent Platform

The Databricks Data Intelligence Platform Fundamentals traning offers free on-demand videos, great for all types of users. ​​Watch 4 short introductory tutorials, pass the knowledge test and earn a badge you can share on your LinkedIn profile.

2. Start building on Databricks with free onboarding training

Our free onboarding trainings are the place to kickoff your journey to democratizing Data and AI. These live sessions are taught by Databricks experts and are offered multiple times a day.

Courses offered:

• Get Started with Databricks for Business Leaders
• Get Started with Databricks Platform Administration
• Get Started with Data Analysis on Databricks
• Get Started with Data Engineering on Databricks
• Get Started with Machine Learning on Databricks

3. Take the fast-track with our Solutions Accelerators

Save hours of discovery, design, development and testing with Databricks Solution Accelerators. With over 50 solutions accelerators, packed with pre-built code, sample data, and step-by-step instructions, you can go from idea to proof of concept in as little as two weeks.

Popular accelerators:

• LLMs for Knowledge base Q&A
• Fine-grained Demand Forecasting
• Improve On-Shelf Availability

 

Power Users

1. Dive deep into all-things Databricks with Databricks Docs

Databricks docs offers comprehensive how-to guidance and reference information for Databricks practitioners. Be sure to bookmark these handy pages for future reference:

• Databricks REST API reference
• Common error codes
• Jobs, How-tos
• Notebooks best practices
• Developing in Databricks with Python
• Query Parameters
• Manage workspace settings
• Unity Catalog best practices
• SQL warehouse sizing, scaling, and queuing behavior
• 10-minute ML tutorials
• Delta Live Tables SQL reference

2. Explore data concepts with Databricks Technical Blogs

Learn about emerging data concepts, best practices, and more with our interactive technical blogs, written by Databricks Engineers. Share your thoughts, exchange ideas and gain practical insights from real-world examples to sharpen your skills.

Recent blogs:

• Introducing TIMESTAMP_NTZ in Apache Spark: The Timestamp Without Time Zone Type
• Planning a Migration to Unity Catalog
• How to build operational low-latency, stateful Spark Structured Streaming pipelines

3. Access hundreds of expert-written articles covering technical issues

Get step-by-step technical instructions on everything from niche topics to common errors with the Databricks Knowledge Base. Some of our popular articles include:

• How to list and delete files faster in Databricks
• Get and set Apache Spark configuration properties in a notebook
• Unexpected cluster termination
• How to generate unique increasing numeric values
  
  

4. Ask questions and connect with data practitioners on Databricks Community

Join our fast-growing data practitioner and expert community, ready to discover, help and collaborate on all things Databricks. Engage in technical discussions, ask questions, and stay up to date on new Databricks Feautres

5. Stay on top of platform updates with Databricks Release Notes 

Databricks release notes cover all aspects of the Databricks platform and are organized by the following release vehicles:

• Platform
• Runtime
• Developer tools
• SQL
• DLT
  
  

Something for Everyone

1. Databricks Office Hours

Databricks customer-exclusive Office Hours connect you directly with experts through a LIVE Q&A where you can ask all your Databricks questions. Join us to:

• Learn the best strategies to apply Databricks to your use case
• Troubleshoot your technical questions
• Master tips and tricks to maximize your usage of our platform

2. Ask Databricks

New live series to connect you with the Product Managers and Engineers who design and build Databricks products. Each episode will cover a new product theme, so make sure to check the Ask Databricks live stream schedule page to see announcements and details on speakers, topics, and links to add episodes directly into your calendar.

3. Data Brew: Let’s talk data

Podcast exploring various topics in the data and AI community + interviews with experts in data engineering and data science. The podcast is hosted by Brooke Wenig, Director of Databricks Machine Learning Practice, and Danny Lee, Developer Advocate.