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What is data architecture? A framework to manage data

CIO

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. Real-time analytics.

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Digital twins at scale: Building the AI architecture that will reshape enterprise operations

CIO

A digital twin is a digital replica of a physical object, system or process that uses real-time data and AI-driven analytics to replicate and predict the behaviour of its real-world counterpart. Analytics and simulation. Sources can include Internet of Things (IoT) devices, sensors, existing databases and external systems.

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Cloud storage startup Wasabi raises $250M to reach unicorn status

TechCrunch

Two at the forefront are David Friend and Jeff Flowers, who co-founded Wasabi, a cloud startup offering services competitive with Amazon’s Simple Storage Service (S3). Wasabi, which doesn’t charge fees for egress or API requests, claims its storage fees work out to one-fifth of the cost of Amazon S3’s.

Storage 224
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9 IT skills where expertise pays the most

CIO

Cloud computing Average salary: $124,796 Expertise premium: $15,051 (11%) Cloud computing has been a top priority for businesses in recent years, with organizations moving storage and other IT operations to cloud data storage platforms such as AWS.

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Synthetic DNA startup Catalog partners with Seagate for its DNA-based data storage platform

TechCrunch

However, data storage costs keep growing, and the data people keep producing and consuming can’t keep up with the available storage. According to Internet Data Center (IDC) , global data is projected to increase to 175 zettabytes in 2025, up from 33 zettabytes in 2018. Data needs to be stored somewhere.

Storage 206
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The targeted approach to cloud and data CIOs need for ROI gains

CIO

“Online will become increasingly central, with the launch of new collections and models, as well as opening in new markets, transacting in different currencies, and using in-depth analytics to make quick decisions.” In this case, IT works hand in hand with internal analytics experts. But there’s an even more essential area for Pacetti.

Cloud 179
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A Timeline of Big Data Analytics

CTOvision

In fact, it’s sometimes difficult to remember a time when businesses weren’t intensely focused on big data analytics. Consider the following to be a brief timeline of the big data analytics phenomenon. The mid-1950s were a time where data was beginning to be used for analytics purposes. Rick Delgado.

Big Data 147