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Teradata adds features to weave together local and remote instances of its data warehousing product
Statistical predictions are fragile flowers. They can inspire confidence, but often only under specific, ephemeral circumstances
Financial organizations will depend on financial data scientists to design, create, and maintain algorithms, but there's a lack of training and education offered in order to fulfill this role
Intel Distribution for Python adds Intel's high-speed math libraries to the existing, highly convenient Anaconda version for data scientists
If your data runs to hundreds of terabytes or more, look to Cloud Bigtable for high performance, ease of use, and effortless scaling without downtime
Despite highly respectable numbers, big data is still in the early stages of enterprise acceptance, but that could change soon
Study shows workloads in cloud rising from 41 percent today to 60 percent in two years
There is usually a set of stakeholders out there who are unfamiliar with Hadoop or the concept of a data lake or perhaps just not interested in changing the status quo of their organizations
Confused about the theories underlying machine learning frameworks? Dive deep into the details with these freely available texts
What used to take hours can now be done in minutes, Google says