然而,企业继续使用其他的大数据技术,Heudecker说。
However, businesses continue to use other Big Data technologies, Heudecker says.ApacheSpark正成为全球最受欢迎的大数据技术。
Apache Spark is one of the most popular big data technologies worldwide.ApacheSpark正成为全球最受欢迎的大数据技术。
Apache Spark is becoming the most popular big data technology worldwide.ApacheSpark正在成为全球很受欢迎的大数据技术。
Apache Spark is becoming the most popular big data technology worldwide.ApacheSpark正成为全球最受欢迎的大数据技术。
Apache Spark is becoming the worldwide most popular big data technology.Combinations with other parts of speech
ApacheSpark正在成为全球最流行的大数据技术。
Apache Spark is becoming the worldwide most popular big data technology.ApacheSpark正在成为全球最流行的大数据技术。
Apache Spark is becoming the most popular big data technology worldwide.ApacheSpark正在成为全球最受欢迎的大数据技术。
Apache Spark is becoming the worldwide most popular big data technology.ApacheSpark正在成为全球最受欢迎的大数据技术。
Apache Spark is becoming the most popular big data technology worldwide.ApacheSpark正在成为全球很受欢迎的大数据技术。
Apache Spark is becoming the worldwide most popular big data technology.时代的大数据技术已经比1.0时代的数据管理和分析技术快了很多。
Big data technologies from the 2.0 period are considerably faster than previous generations of technology for data management and analysis were.观察员强调,各军种急于应用这些新的大数据技术但是缺乏资源来这样做。
Observers stress that the servicesare anxious to apply these new big data techniques but lack the resources to do so.新的大数据技术正在进入市场,而一些老旧技术的使用也在不断增长。
New big data technologies are entering the market, while use of some older technologies continues to grow.NuMedii的大数据技术使用了机器学习、模式匹配、和网络生物学的算法来寻找已有药物的新适应症。
NuMedii's Big Data technology uses machine learning, pattern matching, and network biology algorithms to find new indications for existing drugs.我们使用最新的大数据技术,用我们的API和WebPortal来快速处理,分析和传输数十亿数据点。
We use the latest Big Data technologies to process, analyze, and serve billions of data points through our APIs and web portal.主题包括改善人类健康和养鱼,以及如何应用更有效的数据技术有助于海洋生态学。
Topics will range from improving human health to fish,and how applying more effective data techniques aids ocean ecology.….它们配备了最新的大数据技术,可在几毫秒内处理,分析和服务数十亿个遥测数据点。
These will feature the latest Big Data technologies to process, analyze and serve billions of telemetry data points in just milliseconds.但攻击者总是可以使用新的数据技术和机器学习来找到破解设备防御技术的新方法。
But attackers can always use new data technology and machine learning to find a new way to hack your devices.预测分析等先进的数据技术为石油和天然气公司提供了应对这种日趋复杂的环境的手段。
Advanced data technologies such as predictive analytics offer oil and gas companies a means to navigate this increasingly complex landscape.”.他说,快速发展的大数据技术可以在这方面得到更好的应用。
The rapidly developing big data technology can be better applied in this regard, he said.大不了是这样的:今天的大数据技术,它变得更容易从这种匿名数据重新识别个人。
The big deal is this: With today's big data technologies, it's becoming easier to re-identify individuals from this anonymized data..这些数据库会用到像Hadoop这样的大数据技术,并且会达到前所未闻的规模。
These databases will use big data technology such as Hadoop, and they will reach sizes once unheard of.开源技术:许多最广泛使用的大数据技术可以在开源许可证下获得。
Open source technologies: Many of the most widely used big data technologies are available under open source licenses.对于诸如此类的任务,别忘了那项最初的大数据技术:搜索。
For that and similar tasks,don't forget the original big data technology: search.专业服务网络和会计机构德勤(Deloitte)表示,被称为“Block.”的数据技术创新可以变换爱尔兰牛肉供应链。
Professional service network andaccounting organisation Deloitte has said that a data technology innovation known as‘Blockchain' could“transform” the Irish beef supply chain.大不了是这样的:今天的大数据技术,它变得更容易从这种匿名数据重新识别个人。
With today's big data technologies, it's becoming easier to re-identify individuals from this anonymized data..通过提高透明度,适应新的数据技术可能为消费者和生产者带来更公平的食品价格。
Adapting new data technologies may lead to fairer food prices for consumers and producers, by increasing transparency.为了进一步了解这项数据技术,下面列出了你在2020年不可不知的十大大数据技术。
To further understand this data technology, we have listed here in noparticular order the top 10 Big Data technologies you must know in 2020.每个设备和每个人都在捕获,处理和同步越来越多的数据,而旧的数据技术无法应对这一挑战。
Every device and every person is capturing, processing, and synchronizing increasingly large amounts of data,and older data technologies are not up to the challenge.