{"repo":"jrlasak/databricks-100","free":true,"listed":false,"github":"https://github.com/jrlasak/databricks-100","clone":"git clone https://github.com/jrlasak/databricks-100.git","description":"100 essential Databricks concepts for data engineers, organized by category with difficulty levels and self-assessment scoring","language":null,"stars":42,"topics":["databricks","apache-spark","data-engineering","databricks-certification","delta-lake","interview-prep","lakehouse","pyspark"],"license":"MIT","category":"data-pipelines","readme_excerpt":"Independent educational resource. Not affiliated with or endorsed by Databricks, Inc. Databricks has hundreds of features, configs, and services. Here are the 100 that actually matter. Go through each category. Be honest: can you explain each concept to a colleague without looking anything up? If not, that's your gap. Easy = what you should know after month one. Medium = solid mid-level knowledge. Hard = senior-level depth. All concepts reflect 2026 Databricks best practices. Built by dataengineer.wiki - cheat sheets, exercises, labs, and career tools for Databricks data engineers. --- Score Yourself Go through every concept. Can you explain it without looking anything up? Count your score. Your Score What It Means ----------- --------------- 80-100 Senior-level. You can architect and debug production systems. Focus on the Hard concepts you missed. 50-79 Solid mid-level. You know the daily work but have gaps in internals and advanced patterns. 30-49 Building foundations. Focus on Easy and Medium concepts in Categories 1, 3, and 4 first. Under 30 Early stage. Start with all Easy concepts. Come back in 3 months and re-score. Share your score. Send this to a colleague who's prepping for Databricks interviews or certification. The 100-Day Challenge One concept per day. 100 days. Post what you learned on LinkedIn with #100DaysOfDatabricks . 1. Fork this repo 2. One concept per day, starting at #1 3. Post your takeaway on LinkedIn 4. Check it off and move on Day 1: ACID Transaction","default_branch":null,"files":null,"tree":[],"storefront":"/r/jrlasak","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/jrlasak/databricks-100/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}