Rivery Launches Snowflake as a Source and Amazon Q Data Integration Solution
Rivery Launches Snowflake as a Source and Amazon Q Data Integration Solution
Enterprises can fully harness their internal data to power GenAI applications,
and generate precise and up-to-date business insights
企业可以充分利用其内部数据来支持GenAI应用程序。
并生成精确和最新的业务洞察。
NEW YORK, Dec. 3, 2024 /PRNewswire/ -- Rivery, the complete data integration platform accelerating data pipeline creation, announced today the launch of two new integrations of its comprehensive ELT platform with Amazon Q and Snowflake. The integrations will help enterprises use their internal data to effectively develop specially designed AI tools, and enable fresh and complete business insights.
纽约,2024年12月3日 /PRNewswire/ -- Rivery.完整的数据集成平台Rivery加速数据流水线创建,今天宣布了将其全面ELt平台与亚马逊Q和snowflake的两个新集成的推出。这些集成将帮助企业利用其内部数据,有效开发专门设计的人工智能工具,并实现新鲜和完整的业务洞察。
"With the launch of these integrations, Rivery continues to enable seamless data management across platforms, empowering organizations to deploy powerful AI applications with fewer hallucinations and derive actionable insights," said Rivery CEO Itamar Ben Hemo. "With Snowflake as a Source and Amazon Q integration, we're enabling our users to unlock the full potential of their data — from streamlining migrations to building data-driven, GenAI solutions that meet today's business needs with flexibility and security."
“发布这些集成后,Rivery继续实现跨平台无缝数据管理,让组织能够部署功能强大的人工智能应用程序,减少幻觉,获得可操作的见解,”Rivery首席执行官Itamar Ben Hemo表示。“通过将Snowflake作为源并与Amazon Q集成,我们帮助用户释放其数据的全部潜力——从简化迁移到构建基于数据驱动的GenAI解决方案,以满足当今灵活和安全的业务需求。”
Amazon Q Integration
Rivery's integration with Amazon Q allows users to create personalized GenAI chat assistants based on the full range of data available within the enterprise. Large language models trained on the internet don't tap into proprietary data, lack security, and are highly susceptible to hallucinations. By quickly and easily leveraging Retrieval Augmented Generation (RAG) workflows in Amazon Q, companies can set up enterprise-specific GenAI chatbots that can securely answer questions, provide summaries, and generate content with fewer hallucinations.
亚马逊Q集成
Rivery与亚马逊Q的集成允许用户基于企业内可用的全部数据创建个性化的GenAI聊天助手。在互联网上接受训练的大型语言模型不会利用专有数据,缺乏安全性,极易产生幻觉。通过快速且轻松地利用亚马逊Q中的检索增强生成(RAG)工作流程,公司可以建立企业特定的GenAI聊天机器人,能够安全地回答问题,提供摘要,并减少虚幻的内容。
Capabilities
能力
- Sync all enterprise data sources to create effective AI apps based on a full range of internal data
- Easily prep enterprise data for LLM usage with an optimized structure to handle RAG workflows
- Trigger Amazon Q syncs that ensure users' AI apps run on the freshest data
- Build data flows securely with users' own S3 file zones without exposing data to third parties
- 同步所有企业数据源,基于全面的内部数据创建有效的人工智能应用程序
- 通过优化结构轻松为LLm使用准备企业数据,以处理RAG工作流程
- 触发亚马逊Q同步,确保用户的人工智能应用程序在最新数据上运行
- 通过用户自己的S3文件区域安全构建数据流,而不会将数据暴露给第三方
Rivery Snowflake as a Source
Rivery Snowflake as a Source empowers data engineers and analysts to seamlessly replicate or migrate data from Snowflake to simplify cross-platform data management. Organizations can migrate and sync data as needed, regardless of the data's source or destination. This is particularly significant given that data from warehouses is increasingly fed back into operational systems to enable more informed decision-making with tighter integration between data insights and business operations.
作为数据源的Rivery Snowflake
Rivery Snowflake作为数据源,赋予数据工程师和分析师从Snowflake无缝复制或迁移数据的能力,以简化跨平台数据管理。无论数据来源或目的地如何,组织都可以按需迁移和同步数据。这尤为重要,因为从数据仓库获得的数据越来越多地被反馈到运营系统中,以实现更明智的决策,并在数据洞察和业务运营之间实现更紧密的整合。
Capabilities
能力
- Syncing data between multiple data warehouses
- Easily sync datasets across platforms such as BigQuery, Databricks Lakehouse, Amazon Redshift, or between Snowflake accounts
- Migrating data from Snowflake to another data lake or data warehouse
- Accelerate complex migrations by implementing an easily deployed lift and shift approach
- Activate Snowflake data in transactional databases or AI applications
- Simplify data activation or reverse ETL and sync data into AI applications such as Amazon Bedrock. Snowflake data can be replicated into an Amazon S3 dedicated dataset to serve downstream AI applications
- 在多个数据仓库之间同步数据
- 轻松同步数据集,例如在BigQuery、Databricks Lakehouse、亚马逊Redshift之间,或在snowflake账户之间
- 从snowflake迁移数据至另一个数据湖或数据仓库
- 通过实施易于部署的搬迁和迁移方法来加速复杂的迁移
- 激活snowflake数据到事务性数据库或人工智能应用程序
- 简化数据激活或反向ETL,并将数据同步到人工智能应用程序,例如亚马逊Bedrock。snowflake数据可以复制到亚马逊S3专用数据集,用于为下游人工智能应用程序提供服务
"Our team needed to migrate Google Search Ads 360 data to Snowflake and consolidate with older data from the same source, already stored in Snowflake," said Destinei Simpson, a data analyst at digital marketing agency Good Apple. "With Rivery Snowflake as a Source, it took us just a few clicks to set up a pipeline to replicate the data from one Snowflake dataset into another that would have otherwise required manual scripting and management. This made our job much easier and helped speed up our delivery time dramatically."
"我们的团队需要将Google Search Ads 360的数据迁移到snowflake,并与已存储在snowflake中来自同一来源的旧数据进行 consoli"、"dation,"Good Apple数字营销机构的数据分析师Destinei Simpson说。"使用Rivery Snowflake作为源,我们只需要点击几下就能设置一个管道,将数据从一个snowflake数据集复制到另一个数据集,否则需要手动脚本和管理。这使我们的工作变得更加轻松,并显著加快了交付时间。"
About Rivery
Rivery simplifies data integration for businesses of any size to build strong, secure, and unified data infrastructures, bringing together over 200 fully managed data services into a single platform. Eliminating the complexities of integrating unstructured and structured data sources, Rivery enables organizations to focus on innovating products, services, customer experiences, and growth strategies. Founded in 2019, the company has over 400 customers including top brands Bayer, AI21 Labs, American Cancer Society, and EMAAR Properties. Learn more about Rivery at rivery.io.
关于Rivery
Rivery简化数据集成,适用于任何规模的企业,构建强大、安全、统一的数据基础设施,将超过200种全面托管的数据服务集成到一个平台。通过消除集成非结构化和结构化数据源的复杂性,Rivery使组织能够专注于创新产品、服务、客户体验和增长战略。该公司成立于2019年,拥有超过400家客户,包括拜耳、AI21实验室、美国癌症协会和EMAAR Properties等知名品牌。详细了解Rivery,请访问 rivery.io.
SOURCE Rivery
来源:Rivery