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Microsoft Reactor

Microsoft Reactor에 가입하고 개발자와 라이브 참여

AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.

LEARN, CONNECT, BUILD

Microsoft Reactor

Microsoft Reactor에 가입하고 개발자와 라이브 참여

돌아가기

Real-time advanced analytics with Azure Synapse Analytics & Cosmos DB

4 12월, 2021 | 5:00 오전 - 8:00 오전 (UTC) 협정 세계시

서식:
Livestream

항목: 데이터 과학 및 Machine Learning

언어: 영어

In this workshop, you will learn to design a data pipeline solution that leverages Cosmos DB for both the scalable ingest of streaming data, and the globally distributed serving of both pre-scored data and machine learning models. The solution leverages Azure Cosmos DB in concert with the Azure Synapse Analytics through Azure Synapse Link to enable a modern data warehouse solution that can be used to create risk reduction solutions for scoring transactions for fraud in an offline, batch approach and in a near real-time, request/response approach. The Azure Cosmos DB change feed is used for near real-time scoring, while the Azure Cosmos DB analytical store is used for batch processing and high-performance analytical queries.

At the end of this workshop, you will be better able to design and implement solutions that leverage the strengths of Cosmos DB in support of advanced analytics solutions that require high throughput ingest, low latency serving and global scale in combination with scalable machine learning, big data and real-time processing capabilities.

Azure services and related products

• Azure Cosmos DB
• Azure Synapse Analytics
• Azure Data Lake Storage Gen2
• Azure Event Hubs
• Azure Kubernetes Service
• Azure Machine Learning Service
• Power BI

Speaker's Bio: Shivam Sharma, Co-founder TechScalable
Shivam is an author, cloud architect, speaker and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning & Blockchain. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.

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