This whitepaper discusses how GPU technology can augment data analytics performance, enabling data warehouses and other solutions to better respond to new, yet common, database limitations that are the result of increasing data set sizes, increasing user concurrency and demand, and increased use of interactive analytics.
The way in which the analytics market has evolved has created the need for integrated environments, where a businesses’ data tools work together without barriers. Implementing BrytlytDB as part of a wider ecosystem of analytics tools is a seamless and future-proofed way to digitally transform your existing investments, boost ROI, and empower analysts to perform more advanced analytics capabilities that answer more interesting and relevant questions.
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