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11-10-2025 09:30 PM
Hey everyone 👋
I recently started my Databricks learning journey about a month ago, and I wanted to share what I’ve learned so far from one beginner to another.
Here are a few highlights:
1️⃣ Understanding the Lakehouse Concept - Realized how Databricks combines the best of data lakes and data warehouses in one unified platform.
2️⃣ Getting Started with Notebooks - I practiced running PySpark code directly inside notebooks, which helped me explore data and visualize results quickly.
3️⃣ Learning About Delta Tables - Discovered how Delta Lake makes data versioning and updates easy with ACID transactions.
4️⃣ Experiment Tracking with MLflow - Even though I’m still exploring it, MLflow looks powerful for keeping track of models and experiments.
Next, I plan to build a small end-to-end pipeline and start experimenting with ML models using Databricks.
If anyone has beginner-friendly project ideas or tips, I’d love to hear them! 🙌
#Databricks #LearningJourney #DataEngineering #MLflow #DeltaLake
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11-11-2025 08:48 AM
Kudos to you for diving into Databricks so quickly and already covering so many core concepts! That’s a fantastic foundation, you’ve clearly built an understanding of both the platform and its ecosystem (Lakehouse, Delta Lake, and MLflow are key pillars).
Suggestion: a great next step would be to build a simple data pipeline using the Medallion Architecture. For example:
Bronze: Ingest raw CSV/JSON data (like public datasets from Kaggle).
Silver: Clean and transform it with Spark (handle nulls, deduplicate, enrich).
Gold: Aggregate the data for insights, maybe a small dashboard or BI visualization.
Then, you can layer in MLflow to track a basic ML model (like predicting sales or ratings). It’s the perfect beginner-friendly project that connects all the concepts you’ve learned so far.
Keep going! You’re already thinking like a data engineer
#KeepLearning #Databricks #Lakehouse #DataEngineering
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11-12-2025 09:50 PM
I was planning to build an ETL pipeline, but I hadn’t considered using MLflow to predict sales and ratings. Thanks for the suggestion, I’ll work on creating this demo soon to test and enhance my skills.