Adam Lewis

At Data + AI Summit, customer after customer emphasized the importance of platform cost controls and budgeting. That’s exactly what our new blog delivers: a hands-on guide to assessing and improving your Databricks cost maturity. If you’re searching for concrete ways to tag resources, automate reporting, set policies, and keep your data teams empowered without runaway spend—don’t miss this walkthrough! #FinOps #databricks #costs #dataplatform

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"Splunk Federated Search for Snowflake makes it simple for customers to access and act on their #data, uniting business and operational insights in one view," Kamal Hathi, SVP and GM, Splunk "Our integration with Splunk extends Snowflake as a trusted platform for unifying and simplifying #data access at #scale," said Carl Perry, Head of Analytics, Snowflake. " https://lnkd.in/eHRTmBqA

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Informatica is deepening its strategic partnership with Databricks as a launch partner for two major innovations: • Managed Iceberg Tables- unlocking high-performance analytics on open formats • Lakehouse OLTP (Lakebase)- bringing transaction-ready data into the AI era We're also introducing powerful Gen AI integrations with Mosaic AI—like no-code connectors and Gen AI recipes—to help. Learn more: https://infa.media/43FBj33

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OM1 is at the forefront of transforming real-world patient data into actionable insights. By migrating from a complex ecosystem of AWS, Databricks, and custom software to Snowflake's Snowpark, they've not only simplified their data infrastructure but also accelerated the delivery of personalized healthcare solutions. 🧬 Get the full scoop: https://lnkd.in/e7icR4Bj 

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Operational databases have long relied on tightly coupled compute and storage. This architecture creates resource contention and pushes teams to manage infrastructure rather than build. As applications become more real time and automated, the transactional layer needs to adapt. Databricks Lakebase is built for that evolution: • Familiar Postgres semantics for app developers • Compute separated from durable state • Operational data running directly on the lakehouse • Serverless autoscaling (including scale to zero), branching, and recovery to match agent-driven workload Now generally available:

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🚀 Big day at Snowflake Cortex Knowledge Extensions are now GA—giving enterprises a governed, secure, and simplified way to power AI with trusted content from The AP, Stack Overflow, Packt Publishing, and more. Even better? With Snowflake Intelligence (now in public preview), teams can connect these sources directly to agents or use Cortex AI APIs with the LLM that fits their needs. It’s all about delivering clarity, not complexity, to enterprise AI. https://lnkd.in/eDvwmmpJ

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At Sigma’s December product launch this week, we’re unveiling new capabilities as part of our integration with Snowflake Cortex Agents. Ask Sigma will be able to invoke pre-built agents to enrich data, operationalize insights, and extend the agent’s output directly into AI apps. Join us on Thursday to learn more: https://lnkd.in/evXWDu8V #SigmaProductLaunch

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Azure Databricks Lakebase is now generally available. It is a managed, serverless Postgres built for the Databricks Platform on Azure that eliminates brittle ETL pipelines and data duplication so teams can build on one governed data foundation. Read more:

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BP's geospatial AI engine is improving safety and efficiencies offshore - setting new industry standards for enterprise architecture in the energy sector. #Databricks #AzureDatabricks

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Salesforce Buys Informatica ______________ Salesforce announced its intent to buy Informatica, a global leader in enterprise data management, for approximately $8 billion, accelerating its hard pivot into #AI. Informatica brings deep expertise in fabric, integration, data pipeline, governance, quality, and master data management. This acquisition enables Salesforce to create a unified customer data fabric across Salesforce and third-party systems, empowering businesses with actionable insights. Most importantly, it supercharges Salesforce’s ability to deliver #Agentforce, its #AIagent solutions that reduce complexity, accelerate deployment, and scale impact. — Noel Y. and Kate Leggett, VP Principal, Analysts Forrester #datafabric #datagovernance #datapipeline #masterdatamanagement #dataquality

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Building production data applications is complex. You typically need separate tools to host the app, manage the database, and sync data between systems. Each layer adds setup, maintenance, and deployment overhead. Our new blog shows how Databricks simplifies this by consolidating everything on a single platform: ✅ Databricks Apps runs your web applications on serverless compute ✅ Lakebase provides managed Postgres that syncs with Unity Catalog ✅ Databricks Asset Bundles (DABs) let you deploy code, infrastructure, and data pipelines with a single command Follow along with a taxi dashboard example that demonstrates the complete pattern—including React + FastAPI frontend, Lakebase synced tables, and CI/CD-ready deployment 🚀

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Databricks + UBIX.AI = Rapid Business Led AI Innovation. Start with Databricks structures to prepare enterprise data then leverage UBIX’s turnkey, no-code AI platform to turn that data into real-time AI-powered insights that drive business outcomes. Together, they form the ultimate enterprise AI solution—one that serves both IT and business teams with the following measurable benefits: AI-Powered Business Agility – UBIX enables businesses to react 10X faster to market changes with AI-driven decision-making. Enterprise-Wide AI Access – UBIX removes technical barriers, allowing every team to apply AI insights, not just IT and data science teams. Accelerated ROI – One customer achieved a 75% reduction in AI model development time, while another generated critical sales insights in just 2 days, compared to months previously.

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Capital One Software is joining in on the excitement at Databricks #DataAISummit! Capital One Databolt can now integrate directly within Databricks. And, the new ML-optimization in Capital One Slingshot helps you hit cost or runtime goals while maintaining performance. https://bit.ly/3SPYotC

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Most data and AI companies want you to move ALL of your data, your most valuable asset to THIER platform. Hot take: what if we could bring the cloud and AI to your data? #26ai Read Oracle EVP Greg Pavlik's take on why agentic AI needs your organization's systems of record and a robust data architecture to be successful. https://lnkd.in/gy3RcVzc

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🚀 Big day at Snowflake Cortex Knowledge Extensions are now GA—giving enterprises a governed, secure, and simplified way to power AI with trusted content from The AP, Stack Overflow, Packt Publishing, and more. Even better? With Snowflake Intelligence (now in public preview), teams can connect these sources directly to agents or use Cortex AI APIs with the LLM that fits their needs. It’s all about delivering clarity, not complexity, to enterprise AI. https://lnkd.in/dSaAzYP8

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Interoperability shouldn’t be an afterthought. With the Open Semantic Interchange (OSI), dbt Labs is partnering with Snowflake, Salesforce, and others to define a shared standard for how data is understood—across platforms, tools, and teams. This is a big step forward for AI, BI, and semantic governance. More here https://lnkd.in/eU7xNzFH

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I often get asked how to bridge the gap between transactional Postgres workloads and the Snowflake ecosystem. Snowflake Postgres is the answer—fully managed, enterprise-ready, and community-compatible. If you’re looking to spin up an instance and start querying in minutes, our team just released a great Quickstart guide. It covers everything from deployment to connecting via psql. Check it out👇 https://lnkd.in/eNUdj88p

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Databricks CEO Ali Ghodsi joined CNBC’s Jon Fortt to discuss the future of AI, how organizations are using data-intelligent applications to automate work, and how our Series L funding round will accelerate our development of product innovation. “We’re putting [our investments] back into agents, databases, and Lakebase, and into this new category of applications we’re seeing emerge – what we call data intelligence applications.” Watch the full conversation

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Unwrap some real cloud savings this season 🎁 On Dec 3 & 4, we’re showing how teams are cutting 29%+ in warehouse costs with the dbt Fusion engine—by running only what’s changed and reducing wasted compute. We’ll also dig into: ✨ Developer speed ups with Fusion’s IDE, lineage, previews, and VS Code extension ✨ New cost-optimization capabilities like semantic-aware CI and expanded orchestration controls ✨ Real examples of how teams are simplifying operations and reducing spend Grab your seat and set your cloud bill up to be a lot less naughty in the new year.🎅 https://lnkd.in/esiXfGYV

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