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Snowflake

别名:Snowflake Inc.

专注于数据云平台的公司,提供数据仓库和分析服务。

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已收录 24 条与 Snowflake 相关的内容,按评分排序。

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Generating frontends on top of your business data is one of the killer apps of coding AI. 
...

Guillermo Rauch on X: Code-Generating AI is Revolutionizing Business Data Frontends

Guillermo Rauch(@rauchg)153 字 (约 1 分钟)
88

Generating frontends on top of business data is a killer app of coding AI, delivering 1000x value with Vercel + v0 + Next.js and rendering traditional dashboards obsolete.

入选理由:Vercel 生态已与 Snowflake 集成,可直接在业务数据上构建前端。

FeaturedTweet#coding AI#v0#Next.js#Vercel#Snowflake英文
Introducing the Snowflake and AWS Custom Lens for the AWS Well-Architected Framework

Introducing the Snowflake and AWS Custom Lens for the AWS Well-Architected Framework

AWS Architecture Blog2785 字 (约 12 分钟)
85

AWS 与 Snowflake 联合推出定制化架构评估工具,整合双方最佳实践,提升云上数据架构的安全性与合规性。

入选理由:AWS 与 Snowflake 联合推出定制化架构评估工具,整合双方最佳实践。

FeaturedArticle#AWS#Snowflake#架构评估#云安全英文
Codex for every role, tool, and workflow

Codex for every role, tool, and workflow

OpenAI Blog1448 字 (约 6 分钟)
85

OpenAI introduces six role-specific plugins to empower non-developers in analytics, marketing, sales, design, investing, and banking without coding.

入选理由:新增6个角色插件覆盖数据分析、创意生产、销售、产品设计、公共股权投资、投资银行六大领域

FeaturedArticle#Codex#OpenAI#AI Plugins#Knowledge Work#Non-Developer Tools英文
The Hidden Skill Gap: Why Knowing SQL + Python Isn’t Enough Anymore

The Hidden Skill Gap: Why Knowing SQL + Python Isn’t Enough Anymore

KDnuggets1477 字 (约 6 分钟)
85

Data job requirements have shifted from SQL+Python basics to AI system building and data engineering capabilities, with LLM, RAG, data modeling and MLOps becoming new differentiators.

入选理由:2026年数据岗位需求中AI技能排名第二,1/3岗位要求LLM/RAG/向量数据库实操能力

FeaturedArticle#Data Science#AI Skills#Data Engineering#Career Development英文
How Figma Upgraded Data Pipeline from Multi-Day Latency to Real-Time

How Figma Upgraded Data Pipeline from Multi-Day Latency to Real-Time

ByteByteGo Newsletter2087 字 (约 9 分钟)
85

Figma upgraded its data pipeline from daily full sync to incremental sync, reducing analytics data latency from days to real-time and saving millions annually.

入选理由:2023年Figma全量同步任务需6小时,最大表延迟数天,专用数据库副本年成本超百万美元。

FeaturedArticle#Data Pipeline#Incremental Sync#Snowflake#Figma英文
Snowflake VP of AI on Why There Is No AI Strategy Without a Data Strategy

Snowflake VP of AI on Why There Is No AI Strategy Without a Data Strategy

Product School262 字 (约 2 分钟)
75

Snowflake's VP of AI emphasizes that data strategy is the foundation of AI strategy, requiring enterprises to break down data silos, centralize data management, and establish governance mechanisms for effective AI implementation.

入选理由:AI战略必须以数据战略为前提,否则无法有效实施

FeaturedVideo#AI Strategy#Data Governance#Snowflake#Data Platform#Enterprise AI英文
Snowflake VP of AI on How AI Became a Revenue Driver, Not Just a Productivity Boost

Snowflake transformed AI from a mere productivity tool into a core product that directly drives revenue growth by integrating it into data analytics engines.

入选理由:Snowflake基于消费模式,AI处理更多数据直接带来收入增长

FeaturedVideo#Snowflake#AI Productization#Data Analytics#Consumption Model#Enterprise AI英文
Snowflake VP of AI on the CEO Mandate and Coding Agent That Got the Whole Company Using AI

Snowflake achieved company-wide AI adoption through CEO mandate and self-developed coding agent Cortex Code, enabling non-technical staff to build AI applications.

入选理由:CEO明确指令要求全员必须使用AI改变工作方式

FeaturedVideo#Snowflake#AI Adoption#Coding Agent#Enterprise AI英文
Snowflake VP of AI on Why There Is No AI Strategy Without a Data Strategy

Snowflake VP of AI on Why There Is No AI Strategy Without a Data Strategy

Product School972 字 (约 4 分钟)
75

The article emphasizes that data strategy is the foundation of AI strategy, with Snowflake's VP stating that AI projects without high-quality data support are unlikely to succeed.

入选理由:AI项目需要高质量、结构化的数据作为基础

FeaturedVideo#AI#Data Strategy#Snowflake英文
Most enterprise data lives inside Snowflake. With Computer connecting to Snowflake, you get to set u...

Computer Connects to Snowflake, Creating On-Call Data Scientist Teams

Aravind Srinivas(@AravSrinivas)158 字 (约 1 分钟)
75

Computer now connects to Snowflake, enabling real-time analysis of enterprise data.

入选理由:Computer 可以连接 Snowflake 数据仓库进行实时分析。

FeaturedTweet#Snowflake#AI Agent#Data Analysis英文
Computer now connects to Snowflake.

Run end-to-end work against live warehouse data and get answers...

Perplexity now connects to Snowflake

Perplexity(@perplexity_ai)161 字 (约 1 分钟)
72

Perplexity AI announces its system can now connect directly to the Snowflake data warehouse for end-to-end analytics.

入选理由:Perplexity 现在支持直接连接 Snowflake 数据仓库。

FeaturedTweet#AI#Data Analysis#Snowflake#Perplexity英文
Snowflake VP of AI on Why Enterprises Hide Behind Governance to Avoid AI | Baris Gultekin | E296

Enterprises often use data governance as an excuse to delay AI adoption; Snowflake's AI VP argues organizational inertia is the real barrier and advocates for micro-pilots and built-in governance.

入选理由:70%的企业AI项目停留在POC阶段,主因是组织阻力而非技术不足。

FeaturedVideo#AI Governance#Enterprise AI#Snowflake#Digital Transformation英文
Snowflake VP of AI on Why Context — Not Data — Is What Agents Actually Need

Snowflake's VP of AI argues that agents need context, not raw data: natural language interfaces are democratizing enterprise data access, enabling business users to get insights in seconds instead of waiting days for analysts.

入选理由:AI 的核心价值是 democratize 数据访问,让业务用户用自然语言直接对话企业数据

FeaturedVideo#AI Agent#Snowflake#Data Democratization#Enterprise AI#Natural Language Query英文
Snowflake VP of AI on How AI Replaced the 2-Day Wait for a Data Analyst

Snowflake VP of AI on How AI Replaced the 2-Day Wait for a Data Analyst

Product School217 字 (约 1 分钟)
65

Snowflake enables AI agents to understand business semantics and automate data analysis workflows by building semantic layers and eliminating data silos, reducing the original 2-day data analyst wait time to zero.

入选理由:Snowflake构建语义层为AI代理提供业务语义上下文

FeaturedVideo#Snowflake#AI Agents#Data Analysis#Semantic Layer#Data Governance英文
141. Freda的投资札记第2集:Tokenmaxxing、把电机塞进蒸汽机、接力赛变篮球赛、孤独、人的连接

This episode explores new trends in the investment sector with AI, including Token consumption, model company competition, organizational transformation, and AI's impact on investment.

入选理由:Token消耗是越用越多,但并非越用越好,未来将转向按效果收费。

FeaturedPodcast#Investment#AI#Technology#Business#Organizational Transformation中文
Snowflake VP of AI on How AI Became a Revenue Driver, Not Just a Productivity Boost

Snowflake AI became a revenue driver, not just a productivity boost, by integrating AI into analytics engines to enhance customer value.

入选理由:Snowflake AI 不仅提升生产力,更成为收入增长的核心驱动力。

FeaturedVideo#AI#Data Platform#Revenue Growth#Analytics中文
Snowflake VP of AI on How AI Replaced the 2-Day Wait for a Data Analyst

Snowflake VP of AI on How AI Replaced the 2-Day Wait for a Data Analyst

Product School217 字 (约 1 分钟)
65

Snowflake AI leader discusses how AI replaces the 2-day wait for data analysts, emphasizing context, business semantics, and workflow coding.

入选理由:Snowflake AI可将数据分析师的2天等待时间缩短至分钟级

FeaturedVideo#AI#Data Engineering#Process Automation中文
Build dashboards and automations from your Snowflake data for pipeline analysis, product usage, cust...

Perplexity introduces dashboard and automation tools based on Snowflake data to support pipeline analysis, product usage tracking, and customer segmentation.

入选理由:Perplexity 支持从 Snowflake 构建数据看板和自动化流程。

FeaturedTweet#Snowflake#Data Analysis#Automation英文
Beau Rothrock had been at @AngelList for two months when he walked into a Redshift-to-Snowflake migr...

Beau Rothrock faced a Redshift-to-Snowflake migration challenge at AngelList, completing the migration of 14,000 dashboards and reports within 5 weeks.

入选理由:在 5 周内完成 14,000 个仪表板和报告的迁移任务。

FeaturedTweet#Snowflake#Redshift#Data Migration#Tool Usage英文
Snowflake VP of AI on Why Context — Not Data — Is What Agents Actually Need

Snowflake's VP of AI explains how AI is democratizing enterprise data access through natural language conversation, enabling business users to gain data insights within seconds without waiting for data scientists.

入选理由:传统数据分析需要排队等待数据科学家,周期长达数天

FeaturedVideo#Snowflake#AI Democratization#Natural Language Processing#Data Analytics英文

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