Hi Databricks Community,I built a retail sales forecasting system on Databricks Free Edition using the Rossmann Store Sales dataset — about 1,115 stores with daily sales over two and a half years. The goal was a 48-day forecast, the same horizon as t...
I recently built an end-to-end data pipeline architecture in the transportation domain, focusing on city and trip data. The pipeline follows the Bronze–Silver–Gold layered approach, where raw data is ingested into the Bronze layer, cleaned and standa...
Hey everyone,Have you ever opened Databricks Catalog Explorer to audit a table, only to find the downstream job listed as "Untitled"? Databricks Unity Catalog is incredibly powerful for automated lineage, but it quietly breaks the moment you orchestr...
One of the most valuable capabilities in Agent Bricks is the Experiments tab, where Databricks automatically evaluates different agent configurations and optimization runs using LLM-as-a-Judge techniques. Instead of relying only on traditional metric...
Hey everyone,We’ve all been there: a Delta Lake MERGE job that should take 20 minutes drags on for 90 minutes, while a full overwrite of the same table finishes in under 20. When an overwrite outpaces a selective merge, it's a massive red flag that y...
Hello Everyone, As a Data & Analytics Engineer with experience spanning ETL, data engineering, solution design, and data platform engineering, I currently work Azure Data Ecosystem involving Azure Databricks, Terraform, and CI/CD pipelines — building...
Hi Everyone,I just publsihed an detailed article in medium for migrating the stored procedures to pyspark #https://medium.com/p/909c5c700ffd?postPublishedType=initial
Part 1 of a 5-part series on building an enterprise data platform on Databricks.When migrating a large retail conglomerate's SAP HANA platform to Databricks, we needed both historicalcompleteness and near-real-time freshness from day one.That require...
If you are building enterprise Generative AI, you know the pain of the "Monolithic Agent Bottleneck": passing dozens of tools to a single AI supervisor leads to hallucinated routing, massive context bloat, and security nightmares.With the recent May ...
I'm exploring an idea that combines event discovery, weather intelligence, and safety awareness into a single AI-powered experience built on Databricks. The ProblemWhen people travel or plan activities, they often face three common challenges:Activit...
While AI and LLMs take the headlines, hardcore data engineers know that SQL remains the operational backbone of enterprise pipelines. Databricks just rolled out several powerful programmatic and geospatial updates that solve real-world, complex data ...
What if a data pipeline could explain why, it failed instead of just saying it failed? While learning Databricks and exploring Data Engineering, I built an AI Powered Autonomous Data Reliability Platform on Databricks Free Edition using: PySpark Delt...
Hi Everyone! This is my official submission for DAIS 2026 Community Virtual Contest!Deal2Delivery: How I Built an End-to-End AI Sales Intelligence Platform on DatabricksEvery sales team has the same nightmare: a deal closes, and then nobody knows if ...
Let Me Guess What Happened to YouYou built a solid data pipeline. It runs every day, ingests a few gigabytes, everything looks fine. Then one morning you open your cloud storage bill — AWS S3, Azure ADLS, or Google Cloud Storage — and something feels...
Databricks is no longer just a big data platform.It’s becoming the primary platform solution for companies to bring together their data, AI, analytics, and machine learning — all in one ecosystem.Built on Apache Spark, Databricks transformed how orga...
@tushar_sable Well I guess you're seeing it now buddy - DB has already been a complete package!
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