Marco Mannarino’s Post

There is no #AI without #Data. Now you can expose, query and govern siloed data systems as an extension of your lakehouse. With these new capabilities: 👉 Build a unified view of your data estate 👉 Query and combine all data efficiently with a single engine 👉 Safeguard data across data sources

This is a question a lot of customers need and want on their Apps and Infrastructure. Databricks is leaning in, getting better, day by day! Great blog on how to take advantage of what we are building, check it out. #DataIntelligencePlatform #LakehouseLife

Databricks Assistant is now available for all users across all clouds. Databricks Assistant, AI Generated Comments, and Assistant Autocomplete will be available at no additional cost for all customers.    To see Databricks Assistant in action check out our demo link below to see how you can use Assistant to build data pipelines, SQL queries, and data visualizations. https://lnkd.in/ghKk6WQt Samantha Banchik Binu Kurup Marina T. Nick Eayrs Sunwoo Park (Sean, 박선우) Sarath Mohan Keita Nozaki Daniel Miller #dataintelligence #besttech #responsibleai

A very detailed analysis from SiliconANGLE. Snowflake and Databricks are leading a shift in data platforms towards open formats and AI-driven applications, with control moving from databases to governance catalogs. Both companies are expanding into each other's territories, with Databricks gaining traction in databases and Snowflake showing strong adoption of its AI tools. https://lnkd.in/ggaAEMBd

🚀 Unlock the power of your data with Databricks and Microsoft Fabric! 🚀 Databricks and Microsoft Fabric are leading platforms that offer unique strengths and seamless integration. Together, they create a powerful, integrated data ecosystem that can take your organization far into the future. Check out the latest article from our CTO Colin Van Dyke diving deep into this topic! Key Takeaways: ✔ Complementary Services: Databricks and Fabric align perfectly, leveraging Databricks’ advanced ML and AI capabilities with Fabric’s user-friendly interface. ✔ Enhanced Productivity: Seamless integration increases productivity and collaboration across technical and non-technical teams. ✔ Improved Governance: Combining fine-grained RBAC & ABAC capabilities ensures robust data governance and security. ✔ Scalability and Flexibility: A Lakehouse foundation allows for optimized resource utilization and future-proof data management. Read the full story here 🔗 https://lnkd.in/env4wJv7 #DataAnalytics #Databricks #MicrosoftFabric #DataStrategy #AI #Governance

Databricks user? Qualytics now supports deep integration with #Databricks Workflow, offering a best-in-class solution for boosting your #dataquality monitoring and advanced #anomalydetection within the Databricks streaming data environment. Keeping data quality inside of your Databricks ecosystem ensures complex data quality rules can be applied to each stage of the pipeline. Imagine setting up a pipeline in Databricks Workflow that automatically triggers a pull of raw data from a Delta Live Table to Qualytics through our API, pinpoints anomalies, and populates a target Delta Live table with anomalies and the metadata around what triggered them. Such a deeply integrated pipeline allows us to push data quality more towards the edge and enabling advanced remediation steps to be taken all within your control. Read the full blog here: https://lnkd.in/ed_CtQ2T #dataquality #qualytics #databricks #data #datagovernance #bigdata #ai #llmops #artificialintelligence #machinelearning #dataops

One of most exciting announcements from Databricks Data and AI Summit is LakeFlow. It supports organisations to take their data from a wide variety of systems, transform and ingest it in near real-time, and then build production-ready applications on top of it. Stay tuned for more announcements. #databrickscee https://lnkd.in/dmVUACiq

Really interesting read on the evolution of Data Warehouses, Data Lakes and Lake Houses and how Databricks and Snowflake are battling for the top spot. https://lnkd.in/egg4P5VG This is one of the more complete analysis I've seen on the evolution of the analytics space and it's big gorilla's. In the end, it gets into the AI discussion of big LLM's vs. small models and how SLM's will have a place in the analytics world, which I completely agree with.

🚀 Exciting update! Microsoft Fabric introduces Mirroring for Snowflake in Data Activator! Now you can synchronize and mirror data from Snowflake directly within Fabric’s Data Activator, enabling real-time insights and automated actions across your Snowflake environment. This integration boosts efficiency by eliminating data silos and ensuring you never miss a critical moment in your data streams. A must-try feature for anyone working with Snowflake and real-time analytics! https://lnkd.in/dGmxTEfc #MicrosoftFabric #Snowflake #DataActivator #RealTimeAnalytics #DataMirroring #DataIntegration #CloudComputing #DataAutomation #AI #DataInnovation #TechTransformation #Productivity #BigData

Databricks: Transforming the Data Landscape 🚀 Did you know that Databricks is trusted by over 40% of Fortune 500 companies to power their data strategies? With a valuation of $62 billion, it’s setting new standards by unifying data engineering, analytics, and machine learning into a single platform. 📊 Move beyond disconnected systems to a unified data ecosystem. 💡 Applications span predictive analytics, real-time insights, AI development, and more. 🚀 The result? Scalable solutions, enhanced collaboration, and accelerated innovation. Databricks exemplifies how a unified approach to data can drive transformative change. How are you leveraging cutting-edge platforms to stay ahead in the data-driven era? Source: https://lnkd.in/enXKARNB #DataScience #Databricks #BigData #AI #Innovation #Analytics #DataClubMK #DataClub