Sentence examples for rapidly changing data from inspiring English sources

Within communications design, there will be further advances in data visualization, the new form of imagery that is fast replacing traditional charts, graphs and maps as a clearer, more accurate medium for depicting complex, rapidly changing data.

Outlier-mining algorithms based on data flow cannot satisfy the needs [2]; thus, data-intensive computing has emerged to satisfy the needs of obtaining, managing, analyzing, and understanding massive and rapidly changing data effectively [3].

Furthermore, decision makers need to be able to gain valuable insights from such rapidly changing data of high volume, velocity, variety, veracity, and value by using big data analytics.

To support the rapidly changing data requirements of agile companies, conceptual data models, which constitute the foundation of database design, should be sufficiently flexible to be able to incorporate changes easily and smoothly.

These include direct chats, the option to hold audio and video calls, the ability to call in spreadsheets and other documents, run some analytics and more, along with spaces for "evergreen" content as well as others for more rapidly changing data.

NoSQL encompasses a wide variety of different database technologies that were developed in response to the demands presented in building modern applications wherein developers are working with applications that create massive volumes of new, rapidly changing data types structured, semistructured, unstructured, and polymorphic data.

"This is rapidly changing information".

However, in rapidly changing conditions, such data about the past is insufficient to assess the future [16].

As well as providing more adequately the information of the type requested by urban planners and policymakers, a faceted system of classification of urban soil resources would have the flexibility to accommodate all available or future scattered, rapidly changing, or incomplete data.

Here we show that these clustering methodologies from bioinformatics are applicable to continuous rapidly changing multivariate physiologic data in critically injured patients, yielding important insight into patient physiology and outcomes.

Today, our young people need a far better grasp of technology and science simply to live in this increasingly complex and rapidly changing world inundated with data, climate changes, and revolutionary advances in medical science.