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SQream, a GPU-accelerated analytical solution, raised $26.5 million to lower the barrier for enterprise to access and analyze large-scale data stores.
In this section we present the relevant implementation details of a developed prototype, as a proof of concept, with the architecture aforementioned to demonstrate the advantages of our dataflow model when deployed as a WMS for high-performance and large-scale data stores.
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This module is able to store large-scale data such as SNPs found in next-generation sequencing (NGS) experiments.
Scientific problems that depend on processing large amounts of data require overcoming challenges in multiple areas: managing large-scale data distribution, controlling co-placement and scheduling of data with compute resources, and storing, transferring, and managing large volumes of data.
Strengthening data privacy: Numerous large-scale data breaches like those at Equifax and Yahoo show that personal information is highly vulnerable when stored in online databases.
Algorithmic and statistical aspects of modern large-scale data analysis.
"I love using the large-scale data to show statistical trends," she says.
There is greatly expanded coverage of data mining for large-scale data.
Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation.
Simply put, WibiData builds large-scale data applications for companies.
Human well-being could benefit from large-scale data if large-scale noise is minimized.
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