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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. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

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5 Advantages of Using a Redshift Data Warehouse

Sisense

Choosing the right solution to warehouse your data is just as important as how you collect data for business intelligence. To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. It Keeps Costs Relatively Low.

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Breaking down Business Intelligence

BizAcuity

Not any student but a rank holder in mathematics and chemistry who was tasked with assessing the quality of their brew in a cost effective manner. His name was William Gosset and he is credited to have developed the student t-test. Business Intelligence. The more effectively a company uses data, the better it performs.

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Amazon Redshift: Lower price, higher performance

AWS Big Data

times lower cost per user and up to 7.9 times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements.

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How Cloudinary transformed their petabyte scale streaming data lake with Apache Iceberg and AWS Analytics

AWS Big Data

This amalgamation empowers vendors with authority over a diverse range of workloads by virtue of owning the data. This authority extends across realms such as business intelligence, data engineering, and machine learning thus limiting the tools and capabilities that can be used.

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How Wallapop improved performance of analytics workloads with Amazon Redshift Serverless and data sharing

AWS Big Data

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Their cluster size of the provisioned data warehouse didn’t change.

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What is a Data Mesh?

DataKitchen

DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . This post (1 of 5) is the beginning of a series that explores the benefits and challenges of implementing a data mesh and reviews lessons learned from a pharmaceutical industry data mesh example.