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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This structure is made efficient by data engineering practices that include object storage. What is a data lake?

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

As the cost of data storage has fallen, many organizations are keeping unnecessary data, or cleaning up data that’s out of date or no longer useful after a migration or reorganization. But rapid hardware advances may mean CIOs need to budget for much shorter hardware refresh cycles in future to stay up to date.

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An Intelligent Future for Manufacturing

CIO

In the automotive sector for example, the advent of autonomous vehicles has resulted in burgeoning demand for computing power, cloud storage and network bandwidth. With plans to expand, the company needed to upgrade its IT capabilities especially for storage and processing. One such automaker is China’s First Automobile Works (FAW).

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The Top Three Entangled Trends in Data Architectures: Data Mesh, Data Fabric, and Hybrid Architectures

Cloudera

They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures. Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.

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Shadow announces premium plan for its cloud gaming service

TechCrunch

But the service works particularly well for gamers, as everything has been optimized for video games, from latency, 4:4:4 color support and gamepad compatibility to specifications. Currently, subscribers get the equivalent of an Nvidia GeForce GTX 1080, 12GB of RAM and 256GB of storage for $29.99 per month, or €29.99 per month (€8.99).

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Avoiding Last-Mile Challenges for Remote Workers

CIO

This needs to be a multidimensional review: Computational requirements Storage requirements (local, remote, and backup) Voice communication requirements Video communication requirements Security requirements Special access requirements (e.g. Best Practice 5: Build an extranet architecture. cellular, air-gapped systems, etc.)

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5 modern challenges in data integration and how CIOs can overcome them

CIO

Enterprises can harness the power of continuous information flow by lessening the gap between traditional architecture and dynamic data streams. user-generated data across social platforms exploded in the form of audio, video, images, and others. The complexity doesn’t end here.

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