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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

Database name : Enter dev. Database user : Enter awsuser. Conclusion We believe integrating your cloud data warehouse (Amazon Redshift) with SageMaker Canvas opens the door to producing many more robust ML solutions for your business at faster and without needing to move data and with no ML experience.

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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

Flipboard

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

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How Cloud Data Platforms improve Shopfloor Management

Data Science Blog

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science. Cloud Data Platform for shopfloor management and data sources such like MES, ERP, PLM and machine data.

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The Architecture of Serverless Data Systems

Hacker News

I recently blogged about why I believe the future of cloud data services is large-scale and multi-tenant, citing, among others, S3. “Top Serving customers over large resource pools provides unparalleled efficiency and reliability at scale.”

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Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog

By automating the provisioning and management of cloud resources through code, IaC brings a host of advantages to the development and maintenance of Data Warehouse Systems in the cloud. So why using IaC for Cloud Data Infrastructures? appeared first on Data Science Blog.

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Cloud Data Warehouse Migration 101: Expert Tips

Alation

But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. As enterprises migrate to the cloud, two key questions emerge: What’s driving this change? And what must organizations overcome to succeed at cloud data warehousing ? When Migrating, Do You Lift and Shift?

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5 misconceptions about cloud data warehouses

IBM Journey to AI blog

Companies are shifting their investments to cloud software and reducing their spend on legacy infrastructure. In 2021, cloud databases accounted for 85% 1 of the market growth in databases. What is holding back the other 50% of datasets on-premises?