โ05-12-2022 06:15 AM
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.
โ05-14-2022 04:54 PM
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.
โ05-24-2022 03:25 PM
@Bill Fosterโ I would recommend getting started with the official documents. Everything will be straightforward and easy to understand.
โ09-15-2022 10:13 PM
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
โ08-01-2023 07:32 PM
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!
โ08-08-2023 09:08 AM
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/
โ12-07-2023 04:18 AM
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.
โ12-22-2023 09:58 AM - edited โ12-22-2023 10:01 AM
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.
โ02-08-2024 04:27 AM
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.
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโt want to miss the chance to attend and share knowledge.
If there isnโt a group near you, start one and help create a community that brings people together.
Request a New Group