- 816 Views
- 1 replies
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Why We Moved Our Operational Database Into Databricks — And Stopped Managing Two Stacks
Lakebase just went GA. Here's what a production migration actually looks like.For most of the last decade, our data infrastructure lived in two separate worlds.On one side: a transactional database handling operational workloads — the writes, the loo...
- 816 Views
- 1 replies
- 2 kudos
- 2 kudos
Great article Naveen! Thanks for putting your finger on where the actual work is in migrating to Lakebase and what teams need to think about.
- 2 kudos
- 286 Views
- 0 replies
- 0 kudos
Fortifying Enterprise Healthcare Databricks Lakebase with the Security Triad
Modern Enterprise Healthcare Lake bases have fundamentally transformed care data operations by seamlessly unifying high concurrency transactional workloads such as electronic records (EMR) syncing, streaming care vitals and persistent memory for gene...
- 286 Views
- 0 replies
- 0 kudos
- 1893 Views
- 9 replies
- 9 kudos
Share your Lakebase story and receive a $50 gift card!
Calling all builders!Since GA, thousands of teams have moved production workloads onto Lakebase. We want to hear how you’re using it.A few examples of stories we’d love to capture: Building stateful AI agents that need persistent memory alongside lak...
- 1893 Views
- 9 replies
- 9 kudos
- 9 kudos
Hi @jessdarnell , I’ve completed my evaluation. Thanks!
- 9 kudos
- 1186 Views
- 0 replies
- 2 kudos
The Gap Between Applications and Analytics, and "How Lakebase Solves It"
The Problem Nobody Likes to Admit.Imagine this scenario: your data team has built a flawless lakehouse. Ingest pipelines, bronze/silver/gold tiers, gleaming dashboards. Everything is working perfectly.Until someone asks: "And the production app? Wher...
- 1186 Views
- 0 replies
- 2 kudos
- 1434 Views
- 2 replies
- 5 kudos
The Last Mile of Data Intelligence - Databricks Lakebase
We spent the last decade building a wall in the middle of the data stack. Data Lakehouse on one side - massive, powerful & analytical. The Operational Database on the other - fast, transactional, and vital for apps. The separation created a “last mil...
- 1434 Views
- 2 replies
- 5 kudos
- 5 kudos
Nice article @balajij8!In fact, I’m facing a similar “last-mile” problem in my organization, where predictions flow from Event Hub into an OLTP database.This introduces multiple points of failure, adds latency, and increases maintenance overhead. Lak...
- 5 kudos
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