Sentence examples for multiple big data from inspiring English sources

The benchmark also aims at benchmarking of multiple big data management systems, but currently lacks streaming functionality by concentrating on read-only or update-only workloads.

And unlike with consumer startups, which are subject to the whims of consumers and tend to be winner-take-all companies, like Facebook, there's room for multiple big data apps winners.

One telecom company in our sample used multiple big data software to assess the load in real time of heavy video streaming applications, and limit congestion on fiber networks.

The company can search across multiple big data stores, find private information for individuals across different sources, map the relationships across sources, see how data flows across different geographies and help customers comply with local data privacy regulations.

This new infrastructure lets it run multiple big data models in parallel, so it can look at more data points to more accurately determine whether a person is a good candidate for credit.

ZestFinance's team of predictive modelers, who all have backgrounds in physics, computer science and mathematics, analyzes thousands of variables created by machine learning algorithms, modifies them based on patterns, trends, and unique insights, and feeds these variables into multiple big data models.

Expanding corporate partnerships: Companies working with Haas will collaborate on research in multiple areas requiring big data expertise.

To minimize the effects of this limitation, companies can utilize specialized algorithms in combination with multiple sets of big data.

It is embracing a portfolio approach to innovation and placing multiple bets across big data, artificial intelligence, and new business models, and its new digital factories are designed to scale innovations within its core business.

This ranges from cloud-based platforms powered by libraries of clinical, social and behavioral analytics utilized for sharing information across multiple hospitals, to using big data and advanced analytics for clinical improvements, financial analysis and fraud and waste monitoring.

In brief, Hadoop allows for the distributed processing of large datasets across multiple computer nodes, supports big data scaling (HDFS, HBase), and enables fault-tolerant parallelized analysis (MapReduce).