Examples of using Large data sets in English and their translations into Italian
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Computer
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Faster processing of large data sets.
Accessing large data sets with Direct Discovery.
Understand the content of large data sets.
For large data sets, cloud services are often used.
Correction, organization and display of large data sets.
Analyze large data sets using Hortonworks Hadoop Hive framework.
Maximising your NoSQL clusters working with large data sets.
Moving large data sets can be expensive and time-consuming.
PERF: Improvements to optimize mobile queries w/large data sets.
Working with large data sets is not uncommon in data analysis.
Learn how to process and extract information from large data sets.
This is very useful for very large data sets, such as event logs.
Use MicroStrategy to perform predictive analytics on large data sets.
Import data from large data sets in a segmented and sequential manner.
Spreadsheets don't easily reveal trends in large data sets.
Finally, large data sets greatly increase our ability to make causal
Or do you need high resolution three-dimensional images of large data sets?
For more information, see Accessing large data sets with Direct Discovery.
robust standard software architecture optimized for large data sets.
SABIS mines large data sets to ensure high standards
Accelerate performance for workloads that process large data sets in memory.
The large data sets from the project are freely available for other
to handle large data sets.
Algorithmic techniques for data analysis, with specific attention to structures for large data sets and related theoretical and practical aspects;
will substantially decrease the time it will take to post-process large data sets.
is able to optimize large data sets in just two hours.
ad hoc queries on large data sets.
especially in more complex visualisations with large data sets, filters, calculations, etc.
executing MapReduce jobs on very large data sets.