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Overcome the Pull of Data Gravity

Pure Storage

While data doesn’t have gravitational pull in the scientific sense, it is a useful way to think about modern data and data-intensive applications, such as analytics applications—especially in the context of digital transformation. The result is that data remains stationary while applications gravitate to it.

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SIA New Member Profile: ThreatModeler

Security Industry Association

1, 2010, in response to the industry need I saw in protecting IT infrastructures. At the time, threat modeling was seen as a secondary practice to encourage brainstorming and flag architecture related issues, but it was mostly a manual and lengthy process. Archie Agarwal, founder and CEO, ThreatModeler.

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What is Data Mesh?

Advancing Analytics

While relatively in its infancy, having being incepted in 2010, the Data Lake was meant to try to solve some of the problems that Data Warehousing faced - namely analytics at scale in a big data era. But these only chip away at the edge because we’re not challenging the architectures we’re building.

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2021 Technology To Be Thankful For

NexusTek

IoT did not begin to gain popularity until 2010 when the number of objects or devices connected to the internet (such as smartphones, tablets, fitness trackers, etc.) The increased volume of data from IoT devices gave rise to a new IT architecture. The Internet of Things, or IoT, is not new. outnumbered people on the planet.

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SIA New Member Profile: PureTech Systems

Security Industry Association

In mid-2010, prior to IcX selling to FLIR, a few key employees and I bought out PureTech Systems from IcX. LB : PureTech Systems Systems develops, markets and supports its patented location-based AI video analytics and detection sensor integration software, PureActiv, for real-time safety and security applications.

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VMware vs. OpenStack: Choosing the Right Cloud Management Solution

Pure Storage

Its flexible architecture allows for both on-premises and cloud integration. History and Development OpenStack was founded in 2010 as a joint project between NASA and Rackspace Technology. Its flexible, modular architecture has made it a cornerstone of many large-scale private clouds and hybrid cloud deployments.

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Exploring the Differences: Multi-dimensional Modeling vs Relational Modeling in Analytical Systems

Advancing Analytics

To scale out we need a scaled storage layer, such as a Data Lake, to which the architecture is typically based on Hadoop, HDFS. Seldom we find the need for a relational system in a Data Lakehouse architecture - now I will caveat and say that is there is regularly need for a semantic layer, but that can take many different appearances.