Gordon Rose

🔐 Boost Your Snowflake Security with Key Pair Authentication In our new blog, we highlight how key pair authentication is transforming data security for Snowflake users. This method offers a robust, efficient way to manage access and protect sensitive information. Learn how you can implement this feature to enhance your security framework.

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Announcing Databricks AI/BI, a new type of BI product that deeply understands your data’s semantics and democratizes analytics. Built on a compound AI system that powers: - AI/BI Dashboards: AI-powered, low-code solution with all BI capabilities you'd expert out of the box, for answering a fixed set of business questions. - Genie: a conversational interface that can learn your underlying data continuously based on human feedback, and flexibly answer questions. Learn more about AI/BI's design and what this means for self-service BI.

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Databricks LakeFlow helps data teams meet growing demands of reliable data & hashtag #AI through: ✔️ LakeFlow Connect: Simple & scalable data ingestion ✔️ LakeFlow Pipelines: Efficient declarative data pipelines ✔️ LakeFlow Jobs: Reliable orchestration for every workload See how👇

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Sometimes it's the simple explanation that say everything....! Welcome aboard Tabular (now part of Databricks) on Databricks rocketship 🚀🚀🚀 Like the HD DVD 💿 vs. Blu-ray choice 💿 , the problem isn’t about determining which standard is better. The problem is that the risk of investing in the wrong format prevents people from choosing at all. So when Databricks reached out to me and proposed a collaboration that could bring Iceberg and Delta closer together, working toward a common standard, I realized that this was a unique opportunity to make one of the hardest decisions in data architecture simply go away, so that you don’t have to care about table formats. https://lnkd.in/dA9Ym-q7

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Do you dream of unified logging for Azure Data Factory and Databricks Notebooks? Of course you do! Well, S Daniel Zafar has done most of the heavy lifting for you, showing how Azure Log Analytics can bring all of your logs into one place for easy debugging and analysis. https://lnkd.in/eHrBF2GM #databricks #azureloganalytics #azuredatafactory

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#DatabricksSQL warehouses provide up to 12x improved price performance over standard interactive clusters. You can now use Databricks Notebooks on SQL Warehouses to write and schedule Git-backed, multi-statement, and parameterized SQL👇 https://dbricks.co/4agOeJo

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🚀🚀🚀Databricks LakeFlow helps data teams meet growing demands of reliable data & hashtag #AI through: ✔️ LakeFlow Connect: Simple & scalable data ingestion ✔️ LakeFlow Pipelines: Efficient declarative data pipelines ✔️ LakeFlow Jobs: Reliable orchestration for every workload See how👇

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Announcing Databricks AI/BI, a new type of BI product that deeply understands your data’s semantics and democratizes analytics. Built on a compound AI system that powers: - AI/BI Dashboards: AI-powered, low-code solution with all BI capabilities you'd expert out of the box, for answering a fixed set of business questions. - Genie: a conversational interface that can learn your underlying data continuously based on human feedback, and flexibly answer questions. Learn more about AI/BI's design and what this means for self-service BI.

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❄️ Check out my new blog on CData Connect Cloud, now natively accessible from within the Snowflake Data Cloud through Snowflake Partner Connect! #snowflake #cdata #connectcloud #partnerships

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Thinking about enhancing Snowflake data security? We got you. Ask us for a demo. https://lnkd.in/g6QeqHSZ #Protecto #generativeai #ai #datascience #security #privacy

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If you’re thinking about implementing Data Cloud any time in the future, or wondering what you can do now to prepare for it, you will get value from this session

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Exciting usecases with Snowflake + Salesforce Data Cloud : Retailers can now combine Commerce and Service Cloud data from Salesforce with point-of-sale and supply chain data in Snowflake to help troubleshoot customer challenges and pinpoint manufacturing issues. With a comprehensive single source of truth that combines ERP data with customer data, retailers can also run targeted campaigns that feature discounts for surplus inventory. CPG customers have heavy advertising budgets but lack first-party data due to indirect contact with customers. CPG customers must rely on secure data collaboration methods that allow them to gather data which allows them to run more effective ads more confidently. By sharing Salesforce Marketing Cloud and Sales Cloud data from Salesforce to Snowflake, unifying those data sets with their own financial and sales data, CPG customers can then use a data clean room to share data with their retail partners without exposing PII, to gather a more refined view of their advertising and marketing performance. This allows them to adjust strategies and better allocate ad spend to maximize ROI. Finally, CPG customers can then share refined audiences back to Salesforce to execute consistent, cross-channel campaigns through the Salesforce Marketing Cloud.

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Hear in their own words why Snowflake calls portfolio company Aembit a game changer for them. It's about helping Snowflake move faster while also becoming more secure. TLDR: * As Snowflake built more software and APIs to help them automate their work, they realized the old approach of secrets management to secure workloads was no longer scalable or secure. As a result, they changed their approach to using Workload Identity and Access Management (Workload IAM) from Aembit. * The benefits of using Aembit included significant time savings and reduced complexity. This allowed their engineering teams to move faster in building software and APIs that help Snowflake as a company automate more. For example, with Aembit, nobody has to request tokens and rotate tokens and then deal with applications that break when that process doesn't go quite right. Humans don't have to touch anything anymore in critical production infra. * In addition to moving faster they became more secure. They're able to go #secretless using short-lived dynamic access credentials as opposed to long lived tokens. There's no more credential reuse across multiple workloads. They can also enable zero-trust conditional access for workload access. If the workload isn't being actively managed by their cloud security tool, it shouldn't get access. And with Aembit they now have a highly compliant automated system of record now to keep track of every workload requesting access. cc: Cameron Tekiyeh, Grace Tan, Andrey F., Shantanu Panda, Bora Kou, Mario Duarte, David Goldschlag, Kevin Sapp, Apurva Davé, Katlyn Diaz (Doran), Paul Dahn, Gur Talpaz, Austin Arensberg, Frederic Kerrest, George Kurtz, Daniel Bernard, Kevin Mandia, Barmak Meftah, Roger Thornton, Ted Schlein, David Hahn, Michelle L. Kincaid, Agnes So #cybersecurity #devops #devsecops #identitysecurity #cisos #workloadIAM https://lnkd.in/gvr66fwW

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If you missed Databricks Data+AI Summit 2024, there is still plenty of content recorded for you. Included, is the excellent session by #thoughtleaders Elise Georis, Staff Product Manager and Peter Pogorski, Senior Product Manager. Introducing Databricks’ New Native Ingestion Connectors A major challenge data practitioners face is maintaining #dataingestionpipelines—from on-prem #database connectivity, to evolving SaaS #APIs, to holistic #governance.   Watch this session to learn more about a new set of native ingestion connectors for popular SaaS applications, databases, and file sources. These connectors are auto-optimized, low-maintenance, and integrated with the rest of the #DataIntelligencePlatform—from governance via #UnityCatalog to #orchestration via Databricks Workflows. And you can do it all via a no-code UI or an API.In this demo-packed session, you’ll learn about what’s new, what’s on the roadmap, how to take full advantage of these new ingestion capabilities. https://lnkd.in/g5gKf_bK

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📓 Quick Read: In this post, Jon Alkan provides an overview of 3 Snowflake performance features: (1) Search Optimization Service, (2) Query Acceleration Service, and (3) Cache.

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🚀 Exciting news: I've just earned a new accreditation from Databricks in Azure Databricks & Microsoft Fabric! This accomplishment reinforces Kopius Inc.'s ongoing commitment to our partnerships with Databricks and Microsoft. 🌟 At Kopius, Inc., we're driven by a passion for Digital Product development, Custom Business Applications, Data & AI. We firmly believe in leveraging these technologies to spark innovation and create outstanding results for our clients. This recent accreditation highlights our dedication to strengthening these strategic partnerships and delivering cutting-edge solutions. We're always exploring new ways to maximize the value of Databricks and Microsoft technologies, empowering us to provide innovative services that help our clients achieve their goals. With each new certification, we're bolstering our capabilities to drive digital transformation and build a better future together. Here's to embracing the possibilities and continuing this journey towards success! 🌈✨ #AzureDatabricks #MicrosoftFabric #Kopius #Databricks #Microsoft #TechnologyLeadership

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Dynamic visual showcasing the power of PLATFORMS! This exemplifies why customers invest in comprehensive data solutions like Snowflake Data Cloud. A single platform unlocks diverse possibilities: advanced data warehousing, seamless collaboration, AI integration, and scalable application development. #DataPlatforms #SNOWFLAKE

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Learn how you can utilize Astra DB vector search to add a 'related posts' feature to an Astro blog in this newly published DataStax piece by Phil Nash: https://ow.ly/OoW650Sno3t #AstraDB #DataStax

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