@datahot.xiahongbin.comDataHot data pick 3/5｜Why We Created Agent Analytics, and Why Every Team Building AI Agents Needs It
AI Agent进入生产后，如何度量会话质量、控制成本和验证业务价值是数据团队的共同难题，Amplitude的落地实践值得ChatBI
Read / 中文全文：https://datahot.xiahongbin.com/e/7365328d7b8e.html?utm_source=bluesky&utm_content=text
#DataEngineering #AIAgents #数据
@expertai.bsky.socialСоздайте мощный пайплайн для сбора данных: от обхода защиты ботов через curl_cffi до очистки HTML в чистый Markdown. Превращайте хаос веб-страниц в структурированные базы знаний и лиды автоматически! #dataengineering #scraping #automation #python #ai https://ai.dappcrypto.org/r/eB
@trendai.bsky.socialMaster the art of web scraping! Build a robust pipeline that bypasses anti-bot protections to turn raw HTML into clean markdown or structured JSON. Perfect for building AI knowledge bases and lead databases. #DataEngineering #WebScraping #Automation #AI #Python https://ai.dappcrypto.org/r/eB
@datahot.xiahongbin.comDataHot 今日精选 2/5｜Amplitude Experiment推出多臂老虎机实验功能
数据从业者应关注实验方法升级：MAB将测试与个性化结合，可实时分配流量，对数据驱动的增长优化有直接价值。
阅读全文：https://datahot.xiahongbin.com/e/6ad93758f85f.html?utm_source=bluesky&utm_content=text
#DataEngineering #BusinessIntelligence #数据
@walookup.bsky.socialWhy does our batch API return the whole set or nothing at all? By design, we use atomic synchronous operations for up to 100 identifiers to help you prevent partial-state sync errors in your CRM. Learn more at https://walookup.com/?utm_source=bsky #DataEngineering #API
@sriwworldofcoding.bsky.socialMastering DR architecture separates script writers from Lead Cloud Architects.
Check out the full in-depth breakdown:
📖 Medium: medium.com/@sriwworldof...
#Azure #DataEngineering #CloudComputing #SystemDesign
@datahot.xiahongbin.comMCP Toolbox：如何将Agent文本转为ClickHouse向量
该实操展示了一种可复用的 Agent 语义检索构建方式，减少手写文本转 SQL/向量的胶水代码，对 Data Agent 工程落地有直接参考价值。
DataHot 今日精选 1/5 · 阅读全文：https://datahot.xiahongbin.com/e/2dc4de112d3d.html?utm_source=bluesky&utm_content=text
#DataEngineering #AIAgents #数据
@hackernoon.comWhy enterprise AI teams can rarely trace a decision back to its source data — and what it takes to make every recommendation reconstructable. #dataengineering
@dinabridge.bsky.socialAI is only as strong as the data infrastructure behind it.
Build for:
→ Unified data
→ Scale
→ Data quality
→ Governance
→ AI + real-time workloads
Build the foundation before you scale the intelligence.
@rajeshdataai.bsky.socialFull Post: www.instagram.com/p/Dc_YnVhk5T...
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#SQL #interview #DataScience #DataAnalytics #ArtificialIntelligence #data #BusinessAnalyst #DataAnalyst #Database #DataEngineering #Tech #RajeshUmrao
@rajeshdataai.bsky.social
@hugovalters.bsky.socialCompare CSVs in seconds. Track added, removed, and changed rows by key column. Perfect for ETL, migrations, and config audits. 160-line beginner script. https://www.valtersit.com/python/csv-diff-and-change-detector/ #Python #DataEngineering
@potato.softwareTech News Briefing — #AIAdvancements #TechBriefing #PotatoSecurity #OpenSource #DataEngineering #FutureTech → https://alobbs.com/post/2026-09-07/
@alobbs.comTech News Briefing — #AIAdvancements #TechBriefing #CyberSecurity #OpenSource #DataEngineering #FutureTech → https://alobbs.com/post/2026-09-07/
@datahot.xiahongbin.comOssie会成为“开源Palantir”的起点吗？
数据从业者可借此理解语义层与本体论的边界：Ossie 作为中立标准正在扩展业务概念，很可能影响未来语义层/数据平台架构和 Agent 对数据的理解方式。
DataHot 今日精选 5/5 · 阅读全文：https://datahot.xiahongbin.com/e/72abdeca2f43.html?utm_source=bluesky&utm_content=text
#DataEngineering #DataPlatform #数据
@datahot.xiahongbin.comDataHot 今日精选 4/5｜Visier发布Studio Agent：AI指导与自动化数据建模
该发布展示了分析Agent从问答式支持走向自动执行数据建模的路径：用户审核后由Agent构建数据模型，对关注Data Agent、指标语义及可控自动化边界的数据从业者有参考价值。
阅读全文：https://datahot.xiahongbin.com/e/6707fc5dec49.html?utm_source=bluesky&utm_content=card
#DataEngineering #AIAgents #数据
@datahot.xiahongbin.comDataHot 今日精选 3/5｜营销团队使用Genie One的五个方式
该内容直接介绍Databricks Genie One这一Data Agent产品在营销场景的落地用法，数据从业者可了解ChatBI/Agent如何与企业指标和权限体系结合。
阅读全文：https://datahot.xiahongbin.com/e/461d50ae1f59.html?utm_source=bluesky&utm_content=text
#DataEngineering #AIAgents #数据
@datahot.xiahongbin.comDataHot data pick 2/5｜What is a Serverless Database and Why It Matters for Modern AI Apps
文章厘清Serverless数据库的定义与架构，并给出适用/不适用场景，帮助数据从业者评估AI应用的数据基础设施选型。
Read / 中文全文：https://datahot.xiahongbin.com/e/7bcb449b109d.html?utm_source=bluesky&utm_content=text
#DataEngineering #DataPlatform #数据
@numberchecker.bsky.socialMany teams assume their API pipeline fails due to 'bad' data, but often the bottleneck is an incompatible schema structure. Prioritizing schema validation during pre-integration staging beats filtering. How are you handling this? https://numberchecker.ai/?utm_source=bsky #DataEngineering #API
@datahot.xiahongbin.comDataHot 今日精选 1/5｜用实验简报设计更好的实验
实验是数据驱动决策的核心环节，原文提供了一套可复用的实验设计模板，帮助数据从业者减少随意实验、提升评估严谨性。
阅读全文：https://datahot.xiahongbin.com/e/01bf8edae61d.html?utm_source=bluesky&utm_content=text
#DataEngineering #DataProducts #数据
@gmcopilot.bsky.socialPure cryptographic provenance (SHA-256) per module. 🎲🛠️