AWS Analytics Bytes: Data Warehousing for ever changing data landscape | Amazon Web Services
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Опубликовано 5 октября 2022, 18:31
Welcome to the fifth episode of Analytics Bytes: A video series where we explore common Startups analytics use cases and how to architect for them. This video describes the usage of data warehouse in modern data architecture and discusses common use cases and reference architectures to ingest and query structured and semi-structured data.
Amazon Redshift: bit.ly/3CjsFJC
Amazon Redshift Serverless: bit.ly/3SknJd3
Redshift ML: bit.ly/3y4fgTl
Modern Data Architecture: bit.ly/3Cfl6nu
Analytics on AWS: bit.ly/3UJZLd5
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More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#datawarehouse #redshift #amazonredshift #serverless #lakehouse #datalake #AWSStartups #startups #AWS #AmazonWebServices #CloudComputing
Amazon Redshift: bit.ly/3CjsFJC
Amazon Redshift Serverless: bit.ly/3SknJd3
Redshift ML: bit.ly/3y4fgTl
Modern Data Architecture: bit.ly/3Cfl6nu
Analytics on AWS: bit.ly/3UJZLd5
Subscribe:
More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#datawarehouse #redshift #amazonredshift #serverless #lakehouse #datalake #AWSStartups #startups #AWS #AmazonWebServices #CloudComputing
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