Sentence examples for analytics workloads from inspiring English sources

Overall, though, the service is optimized for big-data analytics workloads that required developers to run massively parallel queries.

To learn more, join us at the Strata Data Conference to get a deep dive on deep learning use cases, analytics workloads, and AI infrastructure readiness.

Microsoft today announced Azure Data Lake, a new data repository for big data analytics workloads, during its Build developer conference keynote.

Workstation professional types like this typically need a lot of horsepower from very specialized machines that require rigorous software certifications for the high performance design, machine learning and data analytics workloads they're built to address.

Think about what you are not seeing from your data; think about what benefits you can harvest with faster and deeper insights; think about the value of taking your trained machine learning models and operationalizing them; and think about what augmenting your classical data analytics workloads outside the lab would bring to the business.

Mesosphere, which was one of the early companies to adopt containers and which focuses on allowing businesses to run their big data and analytics workloads in the cloud, today announced that it now also supports Kubernetes on its DC/OS platform for running big data applications in the cloud.

Oracle Autonomous Data Warehouse Cloud processed an analytics workload nine times faster, translating to eight times cheaper, than did Redshift.

By basing the primary design assumptions on the nature of analytic workloads, the combination of column storage, bitmaps, aggressive compression, and shared disk grid-computing through IQ Multiplex offers significant performance benefits for multi-terabyte databases.

We evaluate BlinkDB extensively against well-known database benchmarks and a number of real-world analytic workloads showing that it is possible to implement an end-to-end query approximation pipeline that produces approximate answers with reliable error bars at interactive speeds.

Graphs are a core part of analytic workloads.

"Columnar stores bring notable benefits for analytic workloads where data is loaded in batches," said the company in a blog post.