- 8856 Views
- 1 replies
- 3 kudos
Understanding Liquid Clustering in Databricks - The Next Evolution in Data Optimisation
In the world of big data, organising data smartly is just as important as collecting it. When working with large datasets in Databricks using Delta Lake, how your data is stored and ordered can greatly impact performance, especially for queries. Trad...
- 8856 Views
- 1 replies
- 3 kudos
- 3 kudos
Great post, Rahul! You’ve nailed the key trade-offs perfectly. The Appeal: LC is “set it and forget it” data management—no more manual OPTIMIZE jobs or performance firefighting. The Reality Check: Single-column clustering works great for high-cardina...
- 3 kudos
- 2391 Views
- 2 replies
- 0 kudos
Recommendations for Designing Cluster Policies Across Dev/QA/Prod Environments for DE and DA teams
Hi Community,We are working on implementing Databricks cluster policies across our organization and are seeking advice on best practices to enforce governance, security, and cost control across different environments.We have two main teams using Data...
- 2391 Views
- 2 replies
- 0 kudos
- 0 kudos
I just want to confirm one more thing here is that me as admin managing the cluster creation and no user will have access to create them me know how the cluster policies help me in this perspective.
- 0 kudos
- 5573 Views
- 4 replies
- 8 kudos
The Open Source DLT Meta Framework
DLT Meta is an open-source framework developed by Databricks Labs that enables the automation of bronze and silver data pipelines through metadata configuration rather than manual code development.At its core, the framework uses a Dataflowspec - a JS...
- 5573 Views
- 4 replies
- 8 kudos
- 7129 Views
- 0 replies
- 2 kudos
Databricks Lakeflow - Redefining Data Engineering for the Modern AI Stack
Introduction to LakeflowAt the Databricks Data + AI Summit 2025, Databricks unveiled Lakeflow, a revolutionary approach to data engineering. While many of us have used Delta Live Tables (DLT) for declarative pipeline management, Lakeflow goes beyond,...
- 7129 Views
- 0 replies
- 2 kudos
- 11108 Views
- 2 replies
- 6 kudos
Databricks LLM Evolution and Future Prospects
Databricks LLM Evolution and Future ProspectsDatabricks has progressed from a big-data compute engine to a full-stack AI powerhouse that designs, trains, and serves state‐of‐the-art large language models (LLMs). This article explores two key technica...
- 11108 Views
- 2 replies
- 6 kudos
- 6 kudos
Thanks, @RiyazAliM, for checking out the blog post!More insights on Databricks LLM and Dolly are on the way in the next one. Stay tuned and keep learning!Best,Ayush
- 6 kudos
- 9784 Views
- 3 replies
- 9 kudos
Modernizing Legacy Data Platforms to Lakehouse for AI-Readiness
As organizations increasingly migrate from legacy platforms—like on-prem SQL Server, Oracle Exadata, Teradata, Informatica, Cloudera, or Netezza—to modern cloud architectures, one critical question often arises:"Are we just lifting and shifting the s...
- 9784 Views
- 3 replies
- 9 kudos
- 9 kudos
Great article @hozefa413 , It shows all your expertise and delivery excellence
- 9 kudos
- 3192 Views
- 0 replies
- 0 kudos
Implementing data contracts on Databricks for industrial AI pipelines
Enforce schema consistency using declarative contracts on Databricks Lakehouse.Industrial AI is transforming how operations are optimized, from forecasting equipment failure to streamlining supply chains. But even the most advanced models are only as...
- 3192 Views
- 0 replies
- 0 kudos
- 4630 Views
- 2 replies
- 3 kudos
Establishing Trust relationship for Databricks on AWS
Hello.Our databricks is on Azure. We are trying to connect with AWS S3 as an external source from Unity Catalog.We have followed all steps given here, is there anything additional required?https://docs.databricks.com/aws/en/connect/unity-catalog/clou...
- 4630 Views
- 2 replies
- 3 kudos
- 3 kudos
Hi @gdschld ,what ID have you used here:"sts:ExternalId": "<STORAGE-CREDENTIAL-EXTERNAL-ID>"I haven't done this for some time and got a bit confused with this STORAGE-CREDENTIAL-EXTERNAL_ID. I used to put there Databricks Account ID.I found this, it ...
- 3 kudos
- 8757 Views
- 2 replies
- 1 kudos
How to enable unity catalog system tables?
Unity Catalog system tables provide lots of metadata & log data related to the operations of Databricks. System tables are organized into separate schemas containing one to a few tables owned and updated by Databricks. The storage and the cost of the...
- 8757 Views
- 2 replies
- 1 kudos
- 1 kudos
It's in the Databricks CLI Unity Catalog section Databricks CLI commands | Databricks DocumentationmetastoresCommands to manage metastores, which are the top-level container of objects in Unity Catalog:assign, create, current, delete, get, list, summ...
- 1 kudos
- 3164 Views
- 1 replies
- 3 kudos
Building DLT Pipelines with Databricks Free Edition and Amazon Q Developer
How AI-powered development accelerated my data engineering workflow Watch the Complete Development Process YouTube Video: See the entire 30-minute development sessionThis is a screen recording without voice narration showing the complete development ...
- 3164 Views
- 1 replies
- 3 kudos
- 3 kudos
This is super insightful @Pat, thanks for sharing this with the Community!
- 3 kudos
- 2245 Views
- 2 replies
- 0 kudos
Resolved! Databricks VS code extension to add cell title
I use the databricks extension in vs code for all my work. Is there any way for me to add a cell title from the extension itself?. There is no point in adding in the server version of this notebook cause when I sync the local to sever, it will overwr...
- 2245 Views
- 2 replies
- 0 kudos
- 0 kudos
One needs to use # DBTITLE 1,cell_title in a py file # COMMAND ---------- # DBTITLE 1,Title 1 from pyspark.sql import SparkSession from delta.tables import DeltaTable from pyspark.sql.functions import *
- 0 kudos
- 3291 Views
- 1 replies
- 4 kudos
The Databricks Python SDK
The Databricks SDK is a script (written in Python, in our case) which lets you control and automate actions on Databricks using the methods available in the WorkSpaceClient (more about this below).Why do we need Databricks SDK:- Automation: You can d...
- 3291 Views
- 1 replies
- 4 kudos
- 4 kudos
Good Article @RiyazAliM.
- 4 kudos
- 3127 Views
- 2 replies
- 4 kudos
Apache 4.0
Missed the Apache Spark 4.0 release? It is not just a version bump, it is a whole new level for big data processing. Some of the highlights that really stood out to me:1. SQL just got way more powerful: reusable UDFs, scripting, session variables, an...
- 3127 Views
- 2 replies
- 4 kudos
- 4 kudos
Yeah, Spark 4.0 brings powerful enhancements while staying compatible with existing workloads.Thank you for putting this together and highlighting the key updates, @ilir_nuredini.
- 4 kudos
- 3976 Views
- 4 replies
- 0 kudos
Data Modeling
Just got out of a session on Data Modeling using the Data Vault paradigm. Highly recommended to help think through complex data design. Look out for Data Modeling 101 for Data Lakehouse Demystified by Luan Medeiros.
- 3976 Views
- 4 replies
- 0 kudos
- 0 kudos
Hi @BS_THE_ANALYST , please use this link with code for reference :https://www.databricks.com/blog/data-vault-best-practice-implementation-lakehouse
- 0 kudos
- 2011 Views
- 0 replies
- 1 kudos
Databricks Asset Bundles
Why Should You Use Databricks Asset Bundles (DABs)?Without proper tooling, Data Engineering and Machine Learning projects can quickly become messy.That is why we recommend leveraging DABs to solve these common challenges:1. Collaboration:Without stru...
- 2011 Views
- 0 replies
- 1 kudos
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