Snowflake

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Snowflake

Snowflake

@Snowflake

The AI Data Cloud where data does more, and proud to be the Official Data Collaboration Provider for LA28 and Team USA.

In the ☁ Katılım Haziran 2014
1.2K Takip Edilen64.4K Takipçiler
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Snowflake
Snowflake@Snowflake·
The agentic enterprise is here. We’re unveiling new innovations across AI agents, real-time data, governance, & interoperability to help enterprises build AI that can reason, automate, and drive action at scale. Check out the highlights 👇 bit.ly/4fq2QMh
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Snowflake@Snowflake·
Fast queries are easy. Keeping dashboards responsive under load isn’t. Snowflake Data Superhero Raj Thakkar shares a good breakdown of how Interactive Analytics approaches this 👇 bit.ly/4fmFi9k
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Snowflake@Snowflake·
The moment AI touches regulated data, the questions start: — Where does my data go? — Does it leave my region? — Is it stored anywhere? This breakdown shows how Snowflake handles cross-region inference, ZDR, mTLS, and governance before data reaches a model. Give it a read: bit.ly/44CCccj
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Snowflake@Snowflake·
SAP and Snowflake zero-copy integration is now available on Microsoft @Azure for both @SAP Snowflake and SAP Business Data Cloud Connect for Snowflake: unified enterprise data, built-in AI, and a foundation your teams can trust. bit.ly/4vE28iB
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Snowflake@Snowflake·
Your AI agents are only as safe as the data you hand them. ❄️ Our Chief Security & Trust Officer @MayankUppi joins @aiwithaish to discuss why data governance is the starting line for secure enterprise AI. Because intelligent agents naturally inherit existing human permissions, they will access everything they can reach. Securing your system starts with auditing those permissions before deployment. Catch the full interview to learn how to build trustworthy AI systems: bit.ly/4aSIgB1
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Snowflake@Snowflake·
AI isn’t bound by jurisdictions, it is a global force reshaping geopolitical competition. 🌐 @AtlanticCouncil’s Graham Brookie and Matthew Rose join Data Cloud Now to map out the future of secure data infrastructure. Watch here 👉🏻 bit.ly/4yl55HH
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Snowflake@Snowflake·
Wrong endpoint. Broken auth. Connection errors. Multi-account setups get messy fast. Per-account URLs simplify all of it. One account → one endpoint. ⚡ bit.ly/4ytRaz6
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Snowflake@Snowflake·
Apache Polaris™ 1.6 shipped with an Apache Spark™ 4.0 client! But that's not the only reason to upgrade: → Atomic table register overwrites, so updates don’t break permissions → Stricter JWT verification + log redaction for better security → Decoupled event pipelines, so audit workloads don’t stall operations If you're running Polaris in production, 1.6 is a confidence upgrade across the board. Read more: bit.ly/4gZi8IH
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Snowflake@Snowflake·
🔥 Postgres 18 update: indexable UUIDs UUIDs are randomly generated strings. They are inherently globally unique. UUIDs are good for primary keys for a few reasons? 1) They’re unique: You can use keys generated from more than one place 2) Decoupled: Your application can generate a primary key before sending the data to the database. 3) Security: If your URLs use primary keys (e.g., `.../users/5`), a hacker can easily guess other URLs (`.../users/6`, `.../users/7`) and see how many users you have. With a UUID (`.../users/f47ac10b-58cc-4372-a567-0e02b2c3d479`), it's impossible to guess other IDs. UUID are getting a big overhaul and a new standard for UUID v 7 came out in mid-2024. - UUIDv4 was the prior version of uuid with native Postgres support. But sorting and indexing in large tables had performance issues. - UUIDv7 is the answer to the sort and indexing issue. It is still random but that first 48 bits (12 characters) are a timestamp, and the remaining bits are random. The timestamp part is a hexadecimal value (ie compressed decimal) .So for example `0189d6e4a5d6` (hex) = `2707238289622` (decimal) and that represents the number of milliseconds since 1970. This is how the DDL will look for uuid v 7: CREATE TABLE user_actions ( action_id UUID PRIMARY KEY DEFAULT uuidv7(), user_id BIGINT NOT NULL, action_description TEXT, action_time TIMESTAMPTZ NOT NULL DEFAULT NOW() );
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Snowflake@Snowflake·
Q4 sales are way down. Can the contestants solve it in time, or will Cy win again? Watch Snowflake CoWork in action on Smarter Than Cy!
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Snowflake@Snowflake·
The long-promised adtech and martech convergence is officially here. 🌐 @ZetaGlobal's Chief Data Officer Neej Gore joins Data Cloud Now to break down how the Snowflake identity layer unifies owned and paid media, bringing full-funnel AI tooling into one place. Watch here 👉🏻 bit.ly/3SZYt1i
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Snowflake@Snowflake·
Most teams don’t have one AI tool. They have 5. Can Snowflake CoCo replace that stack? A deep dive review from @Slalom: bit.ly/44s7LWi
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Snowflake@Snowflake·
Postgres performance issues do not announce themselves. Unused indexes, dead rows, and degrading cache hits build up silently until you are stuck digging manually. 🕵️ CoCo runs a full health check and fixes what is wrong through one conversation. 👇 Watch as Elizabeth Christensen previews it and watch the full video here: youtu.be/xlMlzacbzGw
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Snowflake@Snowflake·
Waiting in IT lines just to understand your data is officially over. 🎟️ @paradimelabs and @Braze share how connecting data creation with Snowflake CoWork and CoCo lets teams get answers in seconds. Watch here 👉🏻 bit.ly/44yIc5Q
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Snowflake@Snowflake·
AI is officially moving from answering questions to taking real business action. ⚡ Our VP of AI, @BarisGultekin, joins Sundas Khalid to discuss how Snowflake CoCo and CoWork help teams build smarter, why data context is your real edge, and what leaders should prioritize today to prepare for the next wave of AI adoption. Watch the full chat here: bit.ly/4br9zm7
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Snowflake@Snowflake·
Most document AI pipelines don’t fail on extraction. They fail on trust. “Almost right” still means human review. Fine-tuning Arctic-Extract is what closes that gap with 93.8% accuracy. 89% perfect outputs. That’s when automation actually works.⚡ Learn more: bit.ly/4w7DKHl
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Snowflake@Snowflake·
Blindly deduplicating CDC partial updates can easily overwrite valid SCD-1 history with NULLs. This technical breakdown explores how to solve this in Snowflake using Dynamic Tables, comparing stateless coalescing vs. stateful MERGE patterns. Take a look: bit.ly/4fw6fsi
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Snowflake@Snowflake·
Exciting news! 🏆 Snowflake CoCo has been named a finalist in the AI Software & Platforms category of the 2026 @CRN Tech Innovator Awards. CoCo helps enterprises accelerate AI development with deep awareness of data context, governance, and the full data lifecycle – making it easier to build secure, production-ready AI applications. Congrats to everyone who made this possible! 🎉 bit.ly/4ykmP5Y
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Snowflake@Snowflake·
How has AI changed everday tasks? 🤔 #SnowflakeSummit attendees share how AI is changing their daily work flows and making their life easier. Watch here 👇
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Snowflake@Snowflake·
Your AI models cannot deliver results if they are constantly guessing your business definitions. 🦘 Open Semantic Interchange is entering the Apache Incubator as Apache Ossie. This open standard creates a vendor-neutral format for metrics and data relationships. It ensures both BI tools and AI agents consume data without losing meaning. Snowflake is proud to have co-founded this initiative to unify the end-to-end data lifecycle and will now be passing it on to the Apache Software Foundation. 👉🏻 bit.ly/3SwcaVh
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