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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

It offers features like data sharing , Amazon Redshift ML , Amazon Redshift Spectrum , and Amazon Redshift Serverless , which simplify application building and make it effortless for AaaS companies to embed rich data analytics capabilities. times better price-performance than other cloud data warehouses.

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4 paths to sustainable AI

CIO Business Intelligence

The size of the data sets is limited by business concerns. Use renewable energy Hosting AI operations at a data center that uses renewable power is a straightforward path to reduce carbon emissions, but it’s not without tradeoffs. Data analytics lead Diego Cáceres urges caution about when to use AI.

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Understanding Digital Interactions in Real-Time

CIO Business Intelligence

But this glittering prize might cause some organizations to overlook something significantly more important: constructing the kind of event-driven data architecture that supports robust real-time analytics. An event-based, real-time data architecture is precisely how businesses today create the experiences that consumers expect.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

These thought leaders in data management and analytics represent all areas of the industry from executives and industry analysts to professors and media experts. However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. ” – Cornelia Levy-Bencheton. .”

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).