how can I learn DataBricks

[billfoster]

I am currently enrolled in data engineering boot camp. We go over various technologies azure , pyspark , airflow , Hadoop ,nosql,SQL, python. But not over something like databricks. I am in contact with lots of recent graduates who landed a job. Almost everyone recommend me to learn databricks. But I have no idea what it is and how to learn? There's not much good resources out there on YouTube or any other website.

[Anonymous]

https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf

https://community.cloud.databricks.com/login.html you can create a free account to study here. The datasets used in the book are built into community edition.

https://www.youtube.com/c/AdvancingAnalytics?app=desktop has good videos.

[Prabakar]

@Bill Foster​ I would recommend getting started with the official documents. Everything will be straightforward and easy to understand.

https://docs.databricks.com/getting-started/index.html

[robertPattinson]

You can run a couple of Azure Databricks notebooks in parallel through the usage of the dbutils library. Here is a python code primarily based on the pattern code from the Azure Databricks documentation on walking notebooks similtaneously and on Notebook workflows with extra parameterization, retry good judgment and error coping with

https://great-customer-service.com/

[gbws]

Official Documentation and Tutorials: Databricks provides detailed official documentation and tutorials, which are a great starting point for learning Databricks. You can visit the Documentation and Tutorials section on the official Databricks website (databricks.com) to learn about the core concepts, features, and usage of Databricks!

[youssefmrini]

You can use the Databricks academy. It's free if you have an academic email. 

You can also check this article : https://msdatalab.net/getting-started-with-databricks/ 

[luis69]

To master Data bricks, start with official documentation and online tutorials. Engage in hands-on practice with sample datasets. Join forums, webinars, and communities for insights. Consider structured courses or certifications to deepen your understanding. Continuous learning and practical application will enhance your Data-bricks proficiency.

[luis69]

To master Databricks, start with their official documentation and tutorials. Utilize online platforms like Coursera and edX for structured courses. Practice by solving real-world problems on the Databricks Community Edition. Engage in forums and attend webinars to stay updated. Hands-on experience is key, so work on projects to reinforce your skills.

[Ali23]

I'd be glad to help you on your journey to learning Databricks! Whether you're a beginner or aiming to advance your skills, here's a comprehensive guide:

Foundations:

Solid understanding of core concepts: Begin with foundational knowledge in big data, data engineering, SQL, and Python (or another programming language supported by Databricks). These will serve as the building blocks for your Databricks exploration.

Familiarity with Apache Spark: As Databricks leverages Spark's distributed processing power, grasp the fundamentals of Spark's concepts like DataFrames, transformations, actions, and distributed computing paradigms. Explore resources like the Apache Spark website and Databricks' documentation.

[Haydenjoi]

Explore Databricks with free resources like their official documentation and community tutorials to boost your data engineering skills—good luck!