Examples of using The big data in English and their translations into Chinese
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Mr. Zeutschler, as Head of the Analytics Center of Excellence, you are one of the big data masterminds at Henkel.
Rapid improvements in technology, the exponential growth of the internet, cloud technology and the big data revolution have all spurred the growth of this industry.
Nonetheless, the Global Working Group considers conducting a global follow-up survey with a view to collecting information on more projects for the big data project inventory.
First, some of these systems could not effectively manage the big data that was being captured, so applications could not use it effectively.
First, some of these systems could not effectively manage the big data that was being captured, so applications could not use it effectively.
The big data formed by the platform, will greatly contribute to future scientific research, government decision-making and social services.
You can also use the big data project to analyze existing databases and other unstructured data, as well as to correlate the disparate data sets.
Taking a look at the Big Data frenzy one should ask the question, how much of Big Data is actually useful.
Financial institutions are driving the big data hiring boom in Toronto, especially with needs around understanding their business and customers.
Flexibility- The big data needs you have today are likely very different from the needs you will have in another year or two.
The big data platform by T-Systems is based on state-of-the-art technologies such as Hadoop and SAP HANA.
The big data cluster utilizes a scalable storage layer that integrates SQL Server to scale down to petabytes of data storage.
Business people often see the big data trend as just another pretext for IT résumé building with no clear endgame.
Foxconn will use the big data of manufacturing experience over the past 30 years to move toward the next 30 years of industrial artificial intelligence.
Alternatively, the custodian of the big data source may be requested to perform the initial computations and provide more aggregated and better-structured data to the statistical office.
The big data generated by these connected devices contributed to the rise of AI, which helps automate analytics.
Business people often see the Big Data trend as just another pretext for IT resume-building with no clear end game.
The big data that drives these efficiencies is also going to have a profound effect on the competitive landscape in various industries.
In the cloud, remote analytics can process the big data volumes necessary to deliver real-time location services to millions of vehicles.