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!
Unity Catalog Business SemanticsMost analytics teams have seen the same problem in different forms: one dashboard says revenue is 10.2M, another says 10.6M, a spreadsheet says 10.4M, and nobody is sure which number should be trusted.The issue is usua...
The Enterprise Data Challenge Leaders Face Today Most enterprises are no longer asking whether they should modernize their data ecosystem. The real question is: How quickly can we accomplish this without compromising governance, scalability, o...
From my data engineering experience, one thing has become very clear to me. The future is not only about building pipelines, tables, dashboards, or reports. Those are important, but the real value starts when we ask a deeper question.What problem are...
Databricks has a new/updated feature in Beta: Databricks Container Services for standard compute.Docs: https://docs.databricks.com/aws/en/compute/custom-containers-standardWith this feature, you can specify a Docker image when creating standard compu...
A delivery truck arrives at a downtown Seattle coffee shop carrying 8,000 gallons of oat milk. The regional manager is furious. The AI agent that manages supply chain decisions made the call autonomously at 08:14 AM on a rainy 45F morning. Nobody ord...
Our data team kept hitting the same problem. We needed UIs for business users, dashboards, CRUD apps, internal tools. Streamlit was our go to but it reruns the entire script on every interaction, the interfaces all look identical, and it gets painfu...
Hey everyone,I recently worked on building a modern financial data lakehouse using Spark Declarative Pipeline OSS (SDP OSS), Apache Iceberg, and AWS Glue Catalog.The blog covers:- Building declarative data pipelines with Spark- Using Apache Iceberg a...
really cool
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