Amazon Web Services775 тыс
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Опубликовано 18 ноября 2024, 23:46
This Guidance shows how to build a serverless workflow to identify patterns of fraudulent activity within streaming data through both micro- and macroanalysis. Amazon Timestream helps analyze microlevel indicators, such as activities occurring within a short timeframe. Amazon Neptune then uses that data to flag potentially fraudulent activity within a macrolevel fraud graph.
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Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#timestream #neptune #AWS #AmazonWebServices #CloudComputing
Learn more at: go.aws/4fNDFk9
Subscribe to AWS: go.aws/subscribe
Sign up for AWS: go.aws/signup
AWS free tier: go.aws/free
Explore more: go.aws/more
Contact AWS: go.aws/contact
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#timestream #neptune #AWS #AmazonWebServices #CloudComputing
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