Remove Cost-Benefit Remove Data Warehouse Remove Enterprise
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Capital One Offers Cost Controls for Cloud Data Warehouses

David Menninger's Analyst Perspectives

For two-thirds (66%) of participants in ISG’s Data Lake Dynamic Insights Research, the primary data platform used for analytics is cloud based. Along the way, it adopted Snowflake’s AI Data Cloud and became an investor in the company in 2017. Efficient usage of cloud services is easier said than done, however.

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Simplify data ingestion from Amazon S3 to Amazon Redshift using auto-copy

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze your data using standard SQL and your existing business intelligence (BI) tools. Data ingestion is the process of getting data to Amazon Redshift.

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Migrate a petabyte-scale data warehouse from Actian Vectorwise to Amazon Redshift

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It served many enterprise use cases across API feeds, content mastering, and analytics interfaces.

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What is a Data Mesh?

DataKitchen

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

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Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

At the core of the next generation of Amazon SageMaker is Amazon SageMaker Unified Studio , a single data and AI development environment where you can find and access your organizations data and act on it using the best tool for the job across virtually any use case.

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The Ultimate Guide to Data Warehouse Automation and Tools

Jet Global

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.