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Data engineer skilled in Snowflake, SQL, Python, dbt, BigQuery, Power BI, Azure, and GCP.…
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New Math Data
2K followers
Tired of Terraform slowing down your team’s workflow? ⚙️ You’re not alone. Terraform is powerful, but for many data and ML teams trying to ship jobs, notebooks, and workflows in Databricks, it feels like overkill. The good news? There’s a new option that bridges the gap between manual UI clicks and full-blown infrastructure-as-code. Databricks Asset Bundles (DABs) offer a simpler, YAML-based approach to deploying projects, integrating better with version control, CI/CD, and non-DevOps workflows. 📦 In our latest blog, we break down how DABs compare to Terraform, where each one shines, and why they work even better when paired together. If you're building on Databricks and looking to streamline deployment without giving up control, this one’s worth a read. 👉 Read the full article here: https://lnkd.in/gSrP_V-u #Databricks #Terraform #MLOps #DataEngineering #CICD #CloudArchitecture #DataOps #InfrastructureAsCode
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Indicium AI
33K followers
Databricks set a new direction at the 2025 Data + AI Summit. The new mission is clear: build and deploy full-scale data and AI products on a unified, AI-native platform. Here’s what’s new: • Lakebase – Real-time workloads, fully integrated • Agent Bricks – Build, deploy, and manage AI agents • Lakeflow + Declarative Pipelines – From pipeline code to pipeline intent • Lakebridge – AI-powered onboarding, accelerated • Unity Catalog Metrics – Governed business metrics, centralized • AI/BI – Business intelligence with an AI-native interface • Databricks Apps – Serverless, data-native applications • Databricks One – Unified view of metrics, apps, and agents • Free Edition – No-cost access for small teams and prototyping We broke down what each launch means, and how they’re changing the way teams execute AI at scale. Get the details: https://hubs.li/Q03sMykq0 #DataAISummit #Databricks #Indicium #AIExecution #IndiMesh #ModernDataStack
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