@datahot.xiahongbin.comDataHot 今日精选 2/5｜Databricks推出Adaptive Instructed-Retriever，搜索延迟降低2倍
数据从业者关注检索效率与质量平衡，该方案展示了Agent检索层如何用受限多步搜索提升复杂问询能力，对搭建ChatBI/Data Agent有直接参考价值。
阅读全文：https://datahot.xiahongbin.com/e/8eff8be3cc7f.html?utm_source=bluesky&utm_content=card
#DataEngineering #AIAgents #数据
@datahot.xiahongbin.comDataHot 今日精选 1/5｜Databricks 参考模式：嵌入式 AI/BI 仪表盘的逐行安全授权
嵌入式 BI 的核心难题是让不同查看方看到各自数据行；文章给出了基于 Unity Catalog 的统一授权参考模式，可作为多租户嵌入场景的落地依据。
阅读全文：https://datahot.xiahongbin.com/e/ab586bc5d470.html?utm_source=bluesky&utm_content=text
#DataEngineering #BusinessIntelligence #数据
@rajeshdataai.bsky.socialFull Post: www.instagram.com/p/DdEeteCkxx...
.
.
#SQL #interview #DataScience #DataAnalytics #ArtificialIntelligence #data #BusinessAnalyst #DataAnalyst #Database #DataEngineering #Tech #RajeshUmrao
@rajeshdataai.bsky.social
@darryl-ruggles.cloud#AWSLambda #Serverless #DataEngineering #ETL #EventDriven
There are multiple approaches you can take for ingesting data into your AWS account. Many teams start out with an EC2 as it's the simplest. After a while people may notice that the EC2 is idle much of the time and
@lift-performance.bsky.socialYour data platform, fully managed: dedicated Snowflake environment, dbt-modeled KPI store, Power BI dashboards, GDPR-proof by design. One fixed monthly fee, no infrastructure headaches. #Snowflake #dbt #GDPR #DataEngineering #DataGovernance
@lift-performance.bsky.social👋 Meet Lift Performance. We build managed data platforms on Snowflake + dbt — from scattered data sources to live dashboards in 1-2 weeks. Fully monitored, fully maintained. #Snowflake #dbt #DataEngineering #ModernDataStack
@datahot.xiahongbin.comDataHot 今日精选 5/5｜Fivetran：dbt Wizard重塑合作伙伴实践，AI助手基于血缘与语义
数据从业者应关注：dbt Wizard 把 AI 生成约束在项目真实血缘与语义内，直击通用 AI 在数据工程中输出不可信的痛点；对采用 dbt 的团队评估 AI 辅助建模、重构和治理有直接参考价值。
阅读全文：https://datahot.xiahongbin.com/e/4f578b517344.html?utm_source=bluesky&utm_content=text
#DataEngineering #AIAgents #数据
@datahot.xiahongbin.comDataHot data pick 4/5｜Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow
数据从业者可借鉴其在大规模生产环境中用评估机制驱动Agent可靠性的方法，对Agent落地和运营有直接参考价值。
Read / 中文全文：https://datahot.xiahongbin.com/e/025d7e1e4c9f.html?utm_source=bluesky&utm_content=text
#DataEngineering #AIAgents #数据
@roberik.bsky.socialGreat energy at the "Databricks Oslo User Group" #meetup last night - strong insights, good people, and the kind of community spirit that keeps us learning. ⚡
🔗 www.linkedin.com/posts/roberi...
#Databricks #DataEngineering #DataPlatform #TechCommunity #AI #Analytics #Norway #SigmaTechnology #DOUG
@datahot.xiahongbin.comSnowflake用户级配额正式GA，支持AI功能用量限制
数据平台管理者可借此控制AI功能成本和用户资源消耗，是平台AI化后治理与成本管理的关键实践。
DataHot 今日精选 2/5 · 阅读全文：https://datahot.xiahongbin.com/e/c23dcf4cbf7b.html?utm_source=bluesky&utm_content=text
#DataEngineering #DataPlatform #数据
@datahot.xiahongbin.comDataHot 今日精选 1/5｜chdb Postgres扩展：高性能导入云存储数据
数据从业者可借此直接在Postgres中接入云存储数据，减少外部ETL迁移成本；基准测试结果对同类扩展选型有实际参考价值。
阅读全文：https://datahot.xiahongbin.com/e/d421271f482d.html?utm_source=bluesky&utm_content=card
#DataEngineering #DataPlatform #数据
@powerbitips.bsky.social560 - Thirty minutes. Data landed in a lakehouse, semantic model built, full report designed, and Power BI Desktop never got opened once. The theme it picked out on its own is the part that got me.
@infoq.comWhat if #S3 data could go straight to the #GPU - with no CPU in the data path?
Meet #Vortex, an open-source columnar format built for it.
See how Vortex compares to Parquet and enables a single-copy S3-to-GPU pipeline.
🎬 Watch now: buff.ly/hK4toH5
@rajeshdataai.bsky.socialFull Post: www.instagram.com/p/DdB588Qk0P...
.
.
#SQL #interview #DataScience #DataAnalytics #ArtificialIntelligence #data #BusinessAnalyst #DataAnalyst #Database #DataEngineering #Tech #RajeshUmrao
@rajeshdataai.bsky.social
@quansight.comEveryone rushes to compare Polars and SQL on speed and syntax. Marco Gorelli points out that almost nobody is comparing the semantics, the actual mental models behind each one.
Full talk from PyData London: buff.ly/uInE29g
#Polars #SQL #PythonData #DataEngineering #Quansight
@sergiocuellar.bsky.socialData engineering teams can accelerate onboarding new data sources with ADOP on AWS, automating the full data lifecycle and governance controls. #DataEngineering #AWS #DataOps 🚀
@strategicplan360.bsky.socialA K–12 strategic dashboard is more than a UI.
The real challenge is connecting strategic goals with live SIS, assessment, HR, and attendance data—across different formats, cadences, and cohorts.
Strong strategy starts with strong data architecture.
@z3usalmighty.bsky.socialInteresting detail from Nardon's talk: balancing deterministic logic with non-deterministic LLMs isn't a binary. She shows how low-latency databases and data mesh boundaries let you pick the right tool per query, keeping precision where it matters and cost under #DataEngineering #DataLeadership
@datahot.xiahongbin.comDataHot 今日精选 5/5｜CostBench首测：ClickHouse实时性能每美元高出412-1996倍
该基准把持续负载、端到端链路和每美元成本放进同一评估框架，为实时分析选型提供了可量化的参考，并揭示数据接入阶段对性能的隐藏影响。
阅读全文：https://datahot.xiahongbin.com/e/c890348fb23d.html?utm_source=bluesky&utm_content=card
#DataEngineering #DataPlatform #数据
@siva26.bsky.social🚀 Build Modern Data Pipelines with Snowflake, dbt & Airflow!
👉 Trainer Name : Mr. Krishna
✔️ Date : 09/09/2026 @8:00AM IST
🔗 Join Link: bit.ly/4gHbe93
✔️ Meeting ID: 468 122 391364108
✔️ Passcode: d3yX76aH
📞 For Details: +91 7032290546
