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Sample pooling has the advantage that: (1) sample volumes are large enough for multiple measurements, and (2) analytical workload can be greatly reduced.
As discussed earlier, measurements of individual samples in an exposomic study for a large population results not only in an increased analytical workload, but can also rapidly become prohibitively expensive.
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Optimizing Analytical Workloads in Data-Intensive Computing Systems.
Automatic Tuning of Data-Intensive Analytical Workloads.
The benchmark crawls data from Twitter, and provides several analytical workloads for different data sources.
This database is designed to handle both transactional and analytical workloads.
It not only supports core database workloads, but also runs in-database analytical workloads and manages the entire lifecycle using a single engine.
However, what should be noted is, that, by talking about machine-learning, data-science and analytical workloads, Cloudera is maturing its approach and is appealing to mainstream use.
In fact, appliances are now the preferred approach for companies of all sizes to offload specific analytical workloads from traditional data warehouse environments, and thereby provide a performance boost.
The massive parallel processing power of the GPU makes it ideal for accelerating traditional analytical database workloads, as well as compute-intensive operations for advanced analytics and machine learning.
As our recent BI-on-Hadoop Benchmark revealed, these engines are now ready to support large-scale analytical SQL workloads.
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