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...
This is part 1 of 3 in a series where I take you through working with Metric Views.Part 1: Introduction to Metric ViewsPart 2: Metric Views and the Databricks platform (AI/BI Dashboards, Genie, etc.)Part 3: Metric Views with Power BI and Tabular Edit...
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
Why Your Delta Lake Tables Are Quietly Ballooning (And How to Fix It)If your data pipeline only appends a few gigabytes a day, but your cloud storage footprint is skyrocketing into hundreds of gigabytes, you aren’t alone. We recently watched one of o...
Most Databricks deployment pipelines on Azure still authenticate with a service principal client secret. There is a better way and it does not require managing a single credential. The standard pattern has a quiet problemIf you have set up Databricks...
Hey everyone!I've built and open-sourced ar-io-mlfow. This is a plugin that adds cryptographic provenance across the ML lifecycle (training runs, model registration, stage promotions, inference, and datasets).What it doesCreates signed Ed25519 crypto...
I also opened a discussion on Github, not sure which is the right place sorry if this isn't it - https://github.com/mlflow/mlflow/discussions/23355
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