- 1544 Views
- 2 replies
- 1 kudos
How I Reduced Databricks Costs in a High-Volume Financial Data Platform
In financial services, data never sleeps. Trades flow in every second. Risk calculations refresh continuously. Regulatory reports demand precision. BI dashboards serve business users who expect sub-second responses. And behind all of that? A massive ...
- 1544 Views
- 2 replies
- 1 kudos
- 1 kudos
@Nidhi_Patni Thanks for production level information!@wesleyfelipe > I have one question: what was the trade-off between using traditional partitioning with Z-ordering versus liquid clustering?Traditional partitioning with Z-ordering is kind of the o...
- 1 kudos
- 1078 Views
- 2 replies
- 1 kudos
Resolved! Custom asset bundles file name
Hi,Is there a way to custom name an assetbundle file name and pass that to databricks bundle deploy?I mean right now I must use databricks.yml, so my question is whether there is a way to pass a custom file name.note that I don't want to embed a file...
- 1078 Views
- 2 replies
- 1 kudos
- 1 kudos
Hi @murtadha_s The simple answer is no, but I’d like to understand the issue you’re facing so I can see if there’s anything I can help with.For example, this is how I’m using it in my production application, and it’s working quite well. We’re handlin...
- 1 kudos
- 958 Views
- 0 replies
- 3 kudos
Understanding Delta Table Partition Size Distribution Using the Delta Log
When working with externally managed Delta tables and traditional partitioning strategies (for example by day, week, or month), one common challenge is:How large are my partitions actually?Before deciding whether to partition by day vs. week vs. mont...
- 958 Views
- 0 replies
- 3 kudos
- 688 Views
- 0 replies
- 1 kudos
Why Replacing Developers with AI Failed: How Databricks Can Help?
AI didn’t fail to replace developers, It exposed something deeper.In the rush to adopt AI, many organizations assumed that coding assistants and automation would reduce engineering effort and accelerate delivery. But the reality has been different. M...
- 688 Views
- 0 replies
- 1 kudos
- 1617 Views
- 1 replies
- 1 kudos
Terraform support for AI/BI dashboards
AI/BI dashboards can now be managed through Terraform.Dashboard using serialized_dashboard attribute: data "databricks_sql_warehouse" "starter" { name = "Starter Warehouse" } resource "databricks_dashboard" "dashboard" { display_name = "...
- 1617 Views
- 1 replies
- 1 kudos
- 1 kudos
if the content of `file_path` has changed, terraform detects no changes. It is better if you make it checking md5 of the file to allow resource updates.
- 1 kudos
- 301 Views
- 0 replies
- 2 kudos
Scaling Databricks Pipelines with Templates & ADF Orchestration
In a Databricks project integrating multiple legacy systems, one recurring challenge was maintaining development consistency as pipelines and team size grew.Pipeline divergence tends to emerge quickly:• Different ingestion approaches• Inconsistent tr...
- 301 Views
- 0 replies
- 2 kudos
- 399 Views
- 0 replies
- 1 kudos
Databricks AIBI: Moving from Report Factories to bAIBI
Organizations created report factories in the last few decades. We have spent decades in creating the paginated reports and interactive dashboards in various BI tools yet face the same bottleneck when the business asks a question, and data team takes...
- 399 Views
- 0 replies
- 1 kudos
- 434 Views
- 0 replies
- 2 kudos
Bristol's first ever Databricks Meetup
What an excellent evening at the inaugural Databricks Bristol Meetup! It was great to finally have an Databricks community in Bristol. A massive thanks to iO Associates for pulling this together and also to the awesome speakers. The evening had two g...
- 434 Views
- 0 replies
- 2 kudos
- 517 Views
- 0 replies
- 3 kudos
Stream a CockroachDB Changefeed to Databricks (Azure Edition)
Please check https://github.com/rsleedbx/crdb_to_dbx which has the steps and a working notebook. This guide shows how to stream CockroachDB data to Databricks using changefeeds, Azure Blob Storage, Unity Catalog, and Delta Lake. You get one platform...
- 517 Views
- 0 replies
- 3 kudos
- 2179 Views
- 1 replies
- 5 kudos
Resolved! Data Driven AI Roadmap Databricks Governance Best Practices Aligned with Gartner's AI Model
Introduction“AI First” - But Data Always Comes FirstI have been working in the data space for close to two decades. My journey started as an ETL developer and gradually evolved into roles spanning data engineering, platform design, and solution archi...
- 2179 Views
- 1 replies
- 5 kudos
- 5 kudos
@Saurabh2406 , I really appreciate how you grounded the “AI-first” conversation in the reality that data governance, security, and quality are what actually determine whether AI can scale beyond pilots. The tie-in to Gartner’s AI maturity model, and ...
- 5 kudos
- 2494 Views
- 1 replies
- 4 kudos
Wait, Did Databricks Just Put Git Inside My Database?
Wait, Did Databricks Just Put Git Inside My Database? If you've been scratching your head at Lakebase's "branching" feature wondering "am I working with a database or GitHub?"—you're not alone. Let me break down what's actually happening here, becaus...
- 2494 Views
- 1 replies
- 4 kudos
- 4 kudos
@AbhaySingh , This was a fun read — and a great way to spark discussion about what “Git inside my database” really means in practice. From what I’m seeing in the product world, Databricks isn’t literally putting Git inside the storage engine of your...
- 4 kudos
- 868 Views
- 0 replies
- 4 kudos
Beyond Notebooks: Why SSH Access to the Databricks Driver Matters
IntroductionCloud-native data platforms like Azure Databricks are powerful because they abstract away infrastructure so you can focus on data engineering, analytics, and ML workloads. However, there are situations where you may run into issues that r...
- 868 Views
- 0 replies
- 4 kudos
- 591 Views
- 0 replies
- 1 kudos
New Feature for developer-productivity
Databricks has added 2 new feature on its UI. These are small but quite effective for the developer productivity. 1. Paste images into notebooksCopy images from your local file system and paste them into markdown cells in Databricks notebookshttps:/...
- 591 Views
- 0 replies
- 1 kudos
- 6074 Views
- 4 replies
- 9 kudos
Building a Metadata Table-Driven Framework Using LakeFlow Declarative (Formerly DLT) Pipelines
IntroductionScaling data pipelines across an organization can be challenging, particularly when data sources, requirements, and transformation rules are always changing. A metadata table-driven framework using LakeFlow Declarative (Formerly DLT) enab...
- 6074 Views
- 4 replies
- 9 kudos
- 9 kudos
can you please share the details how this can be implemented using a sample use case in step by step process. Also python code that needs to written in each layer (bronze/silver/gold)
- 9 kudos
- 13280 Views
- 2 replies
- 8 kudos
Turning Databricks into an AI pair‑programmer with Claude‑powered coding agents
Databricks + Claude Code This guide walks through a practical, end‑to‑end setup: installing Claude Code, wiring it to Anthropic models served from Databricks, and configuring authentication so everything “just works” from your terminal and editor. Yo...
- 13280 Views
- 2 replies
- 8 kudos
- 8 kudos
I have yet to use Claude within Databricks - Thanks for this @pradeep_singh
- 8 kudos
-
Access Data
1 -
Access Delta Tables
1 -
ADF Linked Service
1 -
ADF Pipeline
1 -
Advanced Data Engineering
6 -
agent bricks
2 -
Agentic AI
3 -
AI
3 -
AI Agents
5 -
AI Readiness
1 -
AIBI
1 -
Analytics
1 -
Analytics Engineering
1 -
Apache spark
3 -
Apache Spark 3.0
2 -
ApacheSpark
1 -
Aqe
1 -
Architecture
5 -
Associate Certification
2 -
Audit
1 -
Auto-loader
1 -
Automation
1 -
AWSDatabricksCluster
2 -
Azure
3 -
Azure databricks
3 -
Azure Databricks Delta Table
3 -
Azure Databricks Job
2 -
Azure Delta Lake
3 -
Azure devops integration
1 -
Azure Unity Catalog
2 -
AzureDatabricks
2 -
BI
1 -
BI Integrations
1 -
Big data
1 -
Billing and Cost Management
2 -
Blog
1 -
BroadcastJoin
1 -
Bronze Layer
1 -
Bronze Table
1 -
Caching
2 -
CDC
3 -
CDF
1 -
Certification
1 -
Certification Badge
1 -
Certification Exam
1 -
CICD
2 -
CICDForDatabricksWorkflows
1 -
Cluster
1 -
Cluster Policies
1 -
Cluster Pools
1 -
Collect
1 -
Community Event
1 -
CommunityArticle
2 -
Cost Optimization Effort
2 -
CostOptimization
3 -
custom compute policy
1 -
CustomLibrary
1 -
DABs
2 -
DAIS 0206
3 -
DAIS 2026
2 -
Dashboards
2 -
Data
1 -
Data Analysis with Databricks
1 -
Data Architecture
2 -
Data Driven AI Roadmap
1 -
Data Engineering
16 -
Data Governance
5 -
Data Ingestion
2 -
Data Ingestion & connectivity
1 -
data layout
1 -
Data Mesh
1 -
data optimization
1 -
Data Processing
1 -
Data Quality
2 -
Data warehouse
1 -
Data Warehousing
1 -
databricks
3 -
Databricks App
1 -
Databricks Apps
2 -
Databricks Assistant
2 -
Databricks Certified
1 -
Databricks Community
1 -
Databricks Dashboard
2 -
Databricks Delta Table
3 -
Databricks Demo Center
1 -
Databricks genAI associate
1 -
databricks genie
1 -
Databricks Job
2 -
Databricks Lakeflow
3 -
Databricks Lakehouse
2 -
Databricks Migration
3 -
Databricks Mlflow
1 -
Databricks News
1 -
Databricks Notebooks
1 -
Databricks Pyspark
3 -
Databricks Serverless
1 -
Databricks Support
1 -
Databricks Training
1 -
Databricks Unity Catalog
3 -
Databricks Workflows
3 -
DatabricksAutomation
1 -
DatabricksML
1 -
DatabricksOptimization
1 -
DataEngineering
1 -
DBR Versions
1 -
Declartive Pipelines
2 -
DeepLearning
1 -
Delta Lake
12 -
Delta Lake Files
1 -
Delta Live Table
2 -
Delta Live Tables
1 -
Delta Time Travel
1 -
Delta-lake
1 -
DeltaLake
1 -
DevOps
2 -
DimensionTables
1 -
DLT
3 -
DLT Pipeline
1 -
DLT Pipelines
3 -
DLT-Meta
1 -
Dns
1 -
Dynamic
1 -
Dynamic Partition
1 -
ETL Pipelines
2 -
fastapi
1 -
Free Databricks
3 -
Free Edition
1 -
GenAI
1 -
GenAI agent
2 -
GenAI and LLMs
4 -
GenAIGeneration AI
2 -
Generation AI
1 -
Generative AI
2 -
Generative AI Engineer
1 -
Genie
3 -
Git
1 -
GoldLayer
1 -
Google Bigquery
1 -
Google cloud
1 -
Governance
2 -
Governed Tag
1 -
hackathon
1 -
Hive metastore
1 -
Hubert Dudek
42 -
Hybrid Lakehouse
1 -
Kafka streaming
2 -
LakeBase
4 -
Lakeflow
1 -
Lakeflow Pipelines
1 -
Lakehouse
3 -
Lakehouse Migration
1 -
Langchain
1 -
LangGraph
1 -
Lazy Evaluation
1 -
Learning
1 -
Library Installation
1 -
Lineage
2 -
LiquidClustering
2 -
Live Tables CDC
1 -
Llama
1 -
LLM
1 -
LLMs
1 -
Machine Learning
1 -
mcp
2 -
Medallion Architecture
4 -
MERGE Performance
2 -
Metadata
2 -
Metric Views
2 -
Microsoft Teams
1 -
Migration
1 -
Migrations
1 -
mosic ai search
1 -
MSExcel
3 -
Multi-Table Transactions
1 -
Multiagent
3 -
Networking
2 -
New Features
1 -
NotMvpArticle
1 -
Optimization
1 -
Optimize Command
1 -
Partitioning
3 -
Partner
1 -
Performance
2 -
Performance Tuning
3 -
PII
1 -
Powerbi
1 -
PredictiveOptimization
1 -
Private Link
1 -
Pyspark
6 -
Pyspark Code
1 -
Pyspark Databricks
1 -
Pytest
1 -
Python
1 -
Reading-excel
2 -
Row Level Security
1 -
SAP
2 -
Sap Hana Driver
1 -
Scala Code
1 -
Scd Type 2
1 -
Scripting
1 -
SDK
1 -
Security
1 -
Semantic Layer
1 -
Serverless
2 -
slack
1 -
Spark
6 -
Spark Caching
1 -
Spark Performance
1 -
SparkSQL
1 -
SQL
3 -
Sql Scripts
2 -
SQL Serverless
1 -
streaming
1 -
streamlit
1 -
Structured streaming
1 -
Students
2 -
Support Ticket
1 -
Sync
1 -
Training
1 -
Tutorial
3 -
UCSD
1 -
Unit Test
1 -
Unity Catalog
12 -
Unity Cataloge
1 -
Unity Catlog
1 -
University Alliance
1 -
VACUUM Command
1 -
Variant
1 -
Warehousing
1 -
Workflow Jobs
1 -
Workflows
9 -
Zerobus
2 -
Zorder
1 -
Zordering
2
- « Previous
- Next »
| User | Count |
|---|---|
| 85 | |
| 75 | |
| 71 | |
| 63 | |
| 44 |