Examples of using Big data processing in English and their translations into French
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Big Data Processing Techniques and Platforms.
From 0 to 1:Hive for Big Data Processing.
Big Data processing: an economic and societal challenge.
Can a Robot Assistant Improve Big Data Processing?
Big data processing with apache spark-Part 1: Introduction.
Use a comprehensive Big Data processing solution in the cloud.
The resulting database is ready for the necessary big data processing.
Understand Big Data processing, from acquisition to result.
Google stopped using MapReduce as their primary big data processing model in 2014.
Understand Big Data processing, from acquisition to result.
Laboratory of Computing Systems and Methods for Big Data Processing.
You can also use Big Data processing to create uniquely powerful data pipelines.
This is the same example one would cover when they are learning Big Data processing with Hadoop.
Big Data processing, high-density screening, 4D printing of tissues soaked with bacteria, omics.
Partnership involves a long-term research program focused on AI and Big Data processing.
HDInsight enhances big data processing in Microsoft Azure using the popular suite of Hadoop tools.
Vespa is Yahoo's fully autonomous and self-sufficient big data processing and serving engine.
Consequently, Big Data processing represents diverse challenges at different time of the data journey.
Awesome isometric banner of digital technology,isometric abstract icon of big data processing.
Visits to trading floors as well as Big Data processing centres directly linked to financial services.
We are now in the sphere of customer(and not only) profiling,especially regarding Big Data processing.
What is Spark Apache Spark is an open source big data processing framework built around speed, ease of use, and sophisticated analytics.
Cloud computing makes it possible to rent computing power in a storage/hosting space tailored to big data processing.
CCUT conducts a broad range of research around cloud computing and big data processing, and always aims to adopt cutting-edge products from leading vendors.
Working with combinations of heterogeneous orunstructured data is a key challenge for research on big data processing.
With TIBCO, you can jump-start big data processing initiatives that give you the ability to sense, reason, respond, and visualize-much different and much faster and smarter than the traditional store, analyze, report, act approach.
The activity in High Performance Computing remained strong in order tosupport the growing Big Data processing needs of our clients.
Moreover, the increased proximity of exaflop computing power andthe continued development of big data processing tools will require us to redesign hardware and software architectures to take full advantage of newly available capabilities.
Power and energy optimisation, efficient programming and run-time execution, resilience andfault-tolerance are crucial properties for future high performance computing and big data processing systems- as well as challenges on the road to exascale.
Using Talend and Qubole,customers can eliminate time spent writing complex Spark code for big data processing, and instead use Talend to create data jobs and pipelines that are automatically executed at scale on Qubole's platform.