Justin Borgman

Scalestack uses AI to automate company research for sales teams at leading tech companies like Databricks and Ramp, helping them spend more time closing deals instead of digging for data. With Redis Streams as the nervous system of their AI-powered GTM orchestration engine, Scalestack gained enterprise-scale performance, faster sales intelligence, operational excellence, and simpler sales tech. Swipe for a full breakdown. Read more: https://lnkd.in/gr4tyTHS

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Quartr API datasets are now available via Snowflake. Access structured earnings data – live audio, real-time and historical transcripts, filings, slide decks, and event summaries. Pull Quartr data directly into your existing Snowflake workflows and augment your datasets. No new pipelines, no separate API integration. Build with data that drives decisions.

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We've launched the dbt_semantic_view package, seamlessly integrating the Snowflake semantic view with dbt's disciplined workflow. This means you can now: - Centralize Metrics: Define key metric logic (FACTS, DIMENSIONS, METRICS) natively in Snowflake's semantic view for a single source of truth. - Enable CI/CD: Apply dbt's strengths (declarative YAML, testing, and version control) directly to your semantic layer definitions. - Ensure Governance: Automatically manage privileges and validate relationships to ensure every consumer, from BI tools to AI agents, uses trusted data. - Unify your governance framework and ensure consistent, high-performance metrics across your enterprise. Learn more and get started: https://lnkd.in/eZqiwT-g

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The Databricks Startups team answers founders’ most common AI questions—where to start without hype, how to stay compliant with sensitive data, what to build versus buy, how to cut hallucinations, and how to keep costs in check. 💡 Get step‑by‑step starting points, governance patterns for sensitive data, a pragmatic build‑versus‑buy lens, tactics to curb hallucinations, and cost controls that scale. 🔗 Full post: https://lnkd.in/ehRa3Yp5 #Databricks #DatabricksForStartups #AI #GenAI #MLOps

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We sat down with Fred Abood, Lead Solutions Architect, at Databricks during FuturOps for an intriguing conversation about the Databricks platform, their developer community, partnership with Palantir Technologies, AI Coding, rivalry with Snowflake, and more! Full interview will be embedded in CodeStrap's "Code and Connor" Episode 17 "Live from FuturOps!" Our 17th episode focuses on: → Intelligence Augmentation - Overcoming LLMs 3 limitations → CodeStrap’s Larry - AI-assisted programming that scales → AI as an amplifier → Engineering as Ontology → Natural Language Interface for the Web → Databricks’ history, roadmap, culture and competition → Fujitsu’s partnership with Palantir, success to date, Auto ML efforts, and offerings Be sure to follow us to get the latest information, and schedule a meeting with us through www.codestrap.com! For more from FuturOps, head to https://lnkd.in/eMUZHraj.

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📣 We're sponsoring Databricks Data + AI Summit 2026! 📣 The Databricks ecosystem is shifting fast - with Lakebase, Genie and AI‑driven development reshaping how modern data platforms are built and run. We’re leaning into that direction: doubling down on Databricks‑first engineering, automating the heavy lifting with AI, and staying laser‑focused on real business outcomes 🙂‍↕️ That’s exactly why we’re sponsoring Databricks Data + AI Summit 2026. It’s the place to show how Databricks' innovations like LakeFlow, and our solutions like LakeForge, help teams move quicker, govern better and deliver value more effectively. More to come as we head towards San Francisco! 😎

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MySQL Downtime Is Costing You More System failures don’t send warnings—they strike when you least expect them. The real question is: Is your MySQL high availability ecosystem truly prepared? In this practical guide, AllianceTek breaks down how MySQL HA works in real-world scenarios, highlighting common failure points and how to design systems that stay online when it matters most. Don’t wait for downtime to expose vulnerabilities. Build resilience into your infrastructure today. Read more: https://lnkd.in/g4X35jra #MySQL #HighAvailability #DatabaseManagement #ITInfrastructure #TechLeadership

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Snowflake signaling its intent to acquire Observe, Inc. shows how important observability has become to core data infrastructure. Logs, metrics, and traces are now: 👉 Some of the largest datasets teams generate 👉 Increasingly reused across analytics and AI 👉 Too expensive and too valuable to treat as disposable This move suggests the next phase of the data stack will continue to bring high-volume data and metadata closer to the analytics layer. As that happens, storage and data architecture choices become increasingly important. https://lnkd.in/ez73Fhbr

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