- 6584 Views
- 2 replies
- 3 kudos
Getting Started with Notebooks in Databricks
Databricks notebooks are a powerful tool for data scientists and engineers to collaborate, explore data, and build machine learning models. This guide will help you get started with creating and using notebooks in Databricks.Why Use Databricks Notebo...
- 6584 Views
- 2 replies
- 3 kudos
- 3 kudos
Thanks for sharing @bhanu_gautam. This will surely help beginners get started with Databricks Notebooks.
- 3 kudos
- 3979 Views
- 4 replies
- 4 kudos
Resolved! Unity Catalog Migration Strategy
Zero-Downtime Unity Catalog Migration for 500TB Data LakeJust completed migrating 500TB to Unity Catalog without a single minute of downtime. Here's how:The Challenge500 TB across 12,000 tables200+ concurrent usersZero tolerance for downtimeMixed Hiv...
- 3979 Views
- 4 replies
- 4 kudos
- 4 kudos
Thanks, @Khaja_Zaffer and @BS_THE_ANALYST!@Khaja_Zaffer:The toolkit has 5 main components:Pre-migration analyzer Compatibility scoringDrift monitor Real time consistency checksPermission migrator: Automated ACL copyingQuery rewriter: Hive→UC SQL con...
- 4 kudos
- 804 Views
- 0 replies
- 3 kudos
GetRunbook_Failed :: Bootstrap timeout - cluster failure during startup
After creating a new workspace, if you come across Failed to get instance bootstrap steps from the Databricks Control Plane. Please check that instances have connectivity to the Databricks Control Plane. Instance bootstrap inferred timeout reason: Ge...
- 804 Views
- 0 replies
- 3 kudos
- 10518 Views
- 17 replies
- 62 kudos
Level Up Your Databricks Game - Episode 1: Widgets
Hi all,TheOC here with my first of (hopefully!) many blogs on the Databricks Community. I'm hoping in this series to share quick, practical tips to help you get the most out of Databricks. Today's topic is: Widgets.If you're anything like me, you've ...
- 10518 Views
- 17 replies
- 62 kudos
- 62 kudos
hey @Rishabh_Tiwari,Thank you!Watch this space for the next instalment
- 62 kudos
- 2801 Views
- 4 replies
- 12 kudos
[Blog] Building a Scalable Telco CDR Processing Pipeline with Databricks Delta Live Tables - Part 1
Hey everyone! I wanted to share what I'm working with daily in the Databricks ecosystem and how amazing it is that we can achieve everything within one platform!Just published a deep dive on building a Telco CDR Processing Pipeline using: Delta Live ...
- 2801 Views
- 4 replies
- 12 kudos
- 12 kudos
@Pat here I was, cup of tea in hand, ready and eager to read the blog, only then did I discover I was redirected to another place that actually hosts the full blog .Personally, I think it'd be nice for it to be on here, especially if it's dedicated t...
- 12 kudos
- 1606 Views
- 0 replies
- 1 kudos
Technical Deep Dive
Bloom Filters + Zonemaps: The Ultimate Query Optimization ComboAfter my zonemap post last week got great feedback, several of you asked about Bloom filter integration. Here's the complete implementation!Why Bloom Filters Changed EverythingZonemaps ar...
- 1606 Views
- 0 replies
- 1 kudos
- 6593 Views
- 12 replies
- 7 kudos
Resolved! 🚀 DataFrame Caching on Delta Tables - What if underlying data is updated?
Just published new video on Databricks Performance Series to try to clearly explain how DataFrame caching over Delta Tables behaves when updates on underlying table are performed. I came across this use case in my recent project and struggled a littl...
- 6593 Views
- 12 replies
- 7 kudos
- 7 kudos
Source Code with samples available at https://github.com/CafeConData/Spark-Caching-on-Delta-Tables
- 7 kudos
- 2993 Views
- 0 replies
- 2 kudos
🚀 Spark Caching vs Databricks Disk Caching
As promised @BS_THE_ANALYST , in this new video and summarized in post, I try to explain what Spark Caching and Databricks Disk Caching are and how Caching strategy can be leveraged by making these cool features work together: Spark Caching vs Databr...
- 2993 Views
- 0 replies
- 2 kudos
- 1488 Views
- 0 replies
- 1 kudos
Parallel Model Training & Data Pipelines on Databricks (ForEach Tasks+ Asset Bundles + Pydantic)
As companies double down on machine learning (ML), one thing is obvious: a single model can’t solve every problem. Different datasets, different timelines, and different requirements make managing multiple models pretty tricky. And if you’ve ever wor...
- 1488 Views
- 0 replies
- 1 kudos
- 20009 Views
- 3 replies
- 7 kudos
Resolved! Data Quality with PySpark and Great Expectations on Databricks
Data governance is one of the most important pillars in any modern architecture. When building pipelines that process data at scale, ensuring data quality is not just a best practice—it is a critical necessity.Tools like Great Expectations (GX) were ...
- 20009 Views
- 3 replies
- 7 kudos
- 5281 Views
- 0 replies
- 1 kudos
Tracking Query History and Optimizing Queries in Databricks
Optimizing queries in Databricks isn’t just about adding indexes or tweaking SQL syntax — it’s about visibility. You can’t improve what you can’t measure. Fortunately, Databricks provides rich telemetry around query history that you can use to analyz...
- 5281 Views
- 0 replies
- 1 kudos
- 5331 Views
- 1 replies
- 4 kudos
[Blog] Databricks Serverless vs Classic: Who Wins the Cost Sprint?
Hi everyone! I wanted to share with you a post I wrote on Medium a while ago — it’s still very useful if you want to understand how to properly calculate Databricks cluster costs and get a realistic view of the differences: Databricks Serverless vs C...
- 5331 Views
- 1 replies
- 4 kudos
- 4 kudos
Really interesting topic I'll take a look when possible Always interested in improving performance and saving cloud costs. Thanks for sharing.
- 4 kudos
- 3080 Views
- 2 replies
- 3 kudos
Resolved! 🚀 Boost Databricks Performance ✅ Lazy Evaluation and Spark DataFrame Caching ☕
Published new video in my recently created youtube channel about one of my favorite topics: performance. So, here is a new video whose goal is to explain clearly what lazy evaluation is and how to use caching to boost performance. https://studio.y...
- 3080 Views
- 2 replies
- 3 kudos
- 3 kudos
Not sure if previous link works fine, here is the correct one https://youtu.be/pLGAr1VXQSQ?si=QaKzaNfzrNl_0Tv9
- 3 kudos
- 3783 Views
- 4 replies
- 3 kudos
Resolved! Introduction to Databricks for Beginners Video
Here is the first episode in ENGLISH VERSION of a list of simple videos on Introduction to Databricks for beginners:Introduction to Databricks for Beginners - Episode 1 It contains previous and basic concepts to master before moving forward with Data...
- 3783 Views
- 4 replies
- 3 kudos
- 3 kudos
Hi @Coffee77 ,Thanks for sharing with us. It looks promising. Can't wait for another episode
- 3 kudos
- 5410 Views
- 4 replies
- 7 kudos
Resolved! Databricks for RAG: Build, Run, Evaluate
What is RAG?RAG (Retrieval-Augmented Generation) on Databricks refers to building and running AI applications that combine:Retrieval systems (like vector databases or search over documents)Generative AI models (such as LLMs like GPT)within the Databr...
- 5410 Views
- 4 replies
- 7 kudos
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