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
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Snowflake and Databricks are transforming data management with their latest strategic moves. By emphasizing open formats and advanced AI-driven actions, they're reshaping the data landscape. Snowflake's Polaris and Databricks' Unity Catalog highlight the shift towards balancing data control with open access. Effective data governance is becoming increasingly crucial in this evolving field. How are you prioritizing data governance and how is your data strategy being impacted because of it? Read the full article for more insights: https://lnkd.in/ejMhHrfA #DataManagement #AI #DataGovernance #Snowflake #Databricks Data Ideology, LLC
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Excellent analysis by David Vellante in "Decoding the Chess Moves of Snowflake and Databricks." The focus is on the evolving landscape of AI implementation, with a shift towards open data models that prioritize flexibility and control. #Snowflake and #Databricks are at the forefront of this evolution, competing technically and philosophically in the data platform space. The shift signifies a move towards governance catalogs for data estate control, emphasizing the importance of governance in informing business actions and value through integrated analytics across systems. This is an evolution of analytics in data platforms, moving towards systems that blend human supervision and #AI automated agents to achieve specific business goals. Great Read: https://lnkd.in/g6ZrPsdZ
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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.
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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
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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
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Databricks Redefines the Competition Landscape The ongoing rivalry between Databricks and Snowflake has always been a hot topic in the data world. However, recent statements from Databricks suggest a shift in perspective—they no longer view Snowflake as a direct competitor. As the demand for AI-driven insights and unified data platforms grows, the focus seems to be on carving out unique market positions rather than engaging in head-to-head battles. It’s fascinating to see how tech giants evolve their strategies to adapt to the dynamic landscape of data engineering, analytics, and AI. source: https://lnkd.in/gUPZs5Sk #Databricks #Snowflake #AI #DataAnalytics #TechStrategy
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Thrilled to announce the general availability of Databricks Assistant. Assistant is one of the fastest-growing Databricks features; users can automatically generate code, troubleshoot errors, and create visualisations and dashboards! #AIBI #databricks #dataintelligence #AI #BI #GenAI
Announcing the General Availability of Databricks Assistant and AI-Generated Comments
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Databricks is open sourcing Unity Catalog, breaking data silos and creating the "USB" for data access! This is shaping up to be an impactful year at the Data + AI summit 🚀🙌 #databricks #dataEngineering #openSource
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💥 This is a recognition of the Databricks strategy : more digestible models ready for enterprise data and all the tooling to speed-up the go to market ! #forrester #genai #llm #datascience
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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
Exciting news for Databricks customers! We have a new blog post detailing the best practices for using our cost observability tools. Learn how to optimize your costs and get a positive ROI on your data + AI investments. Check it out here and talk with your account team if you'd like some help getting started or have feedback to share with me and the Money Team 💰 #FinOps #CostOptimization #Databricks
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