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The data flywheel: A better way to think about your data strategy

CIO Business Intelligence

This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. Data & Analytics is delivering on its promise. Some are our clients—and more of them are asking our help with their data strategy. Often their ask is a thinly veiled admission of overwhelm. We discourage that thinking.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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Enable business users to analyze large datasets in your data lake with Amazon QuickSight

AWS Big Data

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

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Data architecture strategy for data quality

IBM Big Data Hub

Next generation of big data platforms and long running batch jobs operated by a central team of data engineers have often led to data lake swamps. Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads.

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Deriving Value from Data Lakes with AI

Sisense

Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. In Growing Up with AI , we help you keep up with all the ways this pioneering technology is changing the world. Once your data is prepared for analysis, the next question is: how else can AI help you?

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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail.

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Optimizing a Centralized Approach for the Modern Distributed Data Estate

CIO Business Intelligence

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. Reinterpreting the centralized strategy. over last year. In many cases, this created a mostly unusable swamp.