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在分析中心共享 Pub/Sub 主题 | Google Cloud 博客_AI阅读总结 — 包阅AI

包阅导读总结

1. 关键词:Analytics Hub、Pub/Sub、Streaming Data、Sharing、Businesses

2. 总结:BigQuery Analytics Hub 引入 Pub/Sub 主题分享的公共预览,帮助组织整理、分享和货币化流数据资产,具有多种好处,适用于多个行业,工作原理是通过 Analytics Hub 交易所和列表来共享实时流数据。

3. 主要内容:

– BigQuery Analytics Hub 让企业能跨组织高效安全共享数据资产

– 多行业需与伙伴和客户分享实时流数据

– 推出 Analytics Hub 中 Pub/Sub 主题分享的公共预览

– 好处包括外部客户数据货币化、内部团队共享、集中管理访问、搜索订阅其他组织分享的主题

– 流数据共享在多个行业有多种用例

– 零售商与 CPG 企业分享库存水平

– 金融服务企业分享金融数据并货币化

– 广告企业分享广告数据洞察

– 医疗专业人员用于监测患者和分析风险

– 通过 Analytics Hub 共享 Pub/Sub 主题的工作原理是整理和分布流数据库,利用交易所和列表分类和分组并提供访问

思维导图:

文章地址:https://cloud.google.com/blog/products/data-analytics/share-pubsub-topics-in-analytics-hub/

文章来源:cloud.google.com

作者:Prateek Duble,Maggy Hu

发布时间:2024/7/8 0:00

语言:英文

总字数:777字

预计阅读时间:4分钟

评分:86分

标签:分析中心,Pub/Sub,数据共享,实时流处理,Google Cloud


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Businesses share data assets across organizations efficiently and securely with BigQuery Analytics Hub. However, multiple industries need to share real-time streaming data with their partners and customers. These businesses want the ability to deliver real-time access to their streaming data to internal teams or external customers. For example, a financial institution wants to share and monetize its proprietary real-time market data with its enterprise customers that would be making real-time financial decisions based on the streaming market data.

To help, today we’re introducing the public preview of Pub/Sub topics sharing in Analytics Hub, to help organizations curate, share, and monetize their streaming data assets through Analytics Hub. Pub/Sub is Google Cloud’s simple, highly scalable and reliable global messaging service and is leveraged by customers across the globe to reliably publish and subscribe to streaming data at scale. Analytics Hub, the data exchange platform built on BigQuery, is used by thousands of companies to securely share hundreds of petabytes across organizational boundaries in a given week with zero-copying at scale.

Sharing Pub/Sub topics through Analytics Hub provides a number of benefits:

  • The ability to curate and share valuable streaming data externally with your customers for data monetization or internally with other intra-org teams

  • An integrated experience for centrally managing accessibility to your organization’s streaming data

  • The ability to search and subscribe to valuable Pub/Sub topics shared by other organizations

Streaming data sharing is a well-established pattern with multiple use cases across industries:

  • Retailers can share inventory levels in real-time with Consumer Packaged Goods (CPG) enterprises to provide real-time fulfillment visibility.

  • Financial Services enterprises can share and monetize financial data (e.g., instruments pricing) with customers, offering a flexible pay-as-you-go model for market data distribution and consumption.

  • Advertising enterprises can share advertising data insights in real-time with advertisers to help them understand the campaign effectiveness.

  • Healthcare professionals can power predictive algorithms to monitor patients and analyze risk in real time.

How does it work?

Sharing Pub/Sub topics through Analytics Hub lets you curate and distribute a library of streaming data across multiple internal and external organizational boundaries. Real-time streaming data is shared by leveraging Analytics Hub Exchanges and Listings, allowing you to logically categorize and group sets of Pub/Sub topics and provision access at scale.