Examples of using Data models in English and their translations into Vietnamese
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NET that takes advantage of LINQ to SQL data models.
As you author data models and create more complex formulas, you will likely use this function many times.
Is there a way to mirror complex data models to realm which includ….
Data Models can't use composite keys: a table must always have exactly one column that uniquely identifies each row in the table.
They all have the concept of views, events, data models and routing.
One of the great tensions is building the data models and ensuring that the databases store the information accurately and completely.
The Power Pivot data analysis engine is now built into Excel so thatyou can build simple data models directly in Excel.
While there are many ways to create data models, according to Len Silverston(1997)[7] only two modeling methodologies stand out, top-down and bottom-up.
For more information, see the section"Can't update the data source connection" in Upgrade Power Pivot Data Models to Excel 2013.
The NSManagedObjectModel classis perfectly capable of merging multiple data models into one, that is one of the more powerful and advanced features of Core Data. .
This is crucial for ensuring that OT sensor data is exported informats like JSON that are compatible with enterprise data models.
ArrowDB, its schema-less data store lets you deploy data models with absolutely no effort setup.
Rather than expecting every company to build its own system from scratch, this open source framework allows them to share anyimprovements in the framework as well as adapters and data models,” Facebook said.
The key-value model is one of the simplest non-trivial data models, and richer data models are often implemented as an extension of it.
Rather than expecting every company to build its own system from scratch, this open-source framework allows them to share anyimprovements in the framework as well as adapters and data models,” said Facebook in a blog post.
Insufficient data models- Current technology lacks the ability to adequately represent the kinds of data, information and relationships between data items and systems that are important in today's connected world.
The information of most predictive questions updates scientists, weeks of repetition,and consistent data models that help to produce the right results.
The main focus of the group will be the development of data models for logical grouping of machine attributes along with services necessary for exchange of the data between machines and other machines or supervisory systems.
On the sensor side, the city authorities generally use specific APIs as theproviders will typically be building data models that are specific to the sensor data. .
Some SCM applications are based on open data models that support the sharing of data both inside and outside the enterprise this is called the extended enterprise, and includes key suppliers, manufacturers, and end customers of a specific firm.
However, Cortex will solve this problem by allowing machine learningresearchers around the world to upload well-trained corresponding data models to the storage layer of the Cortex public chain.
Integrate, manage and provide information sharing data in large data models for standardized, unified management, improve the efficiency of forecasting, warning and decision-serving goals against drought, salinization and responding to climate change in the South Central region and Central Highlands;
With improved Power Pivot features as part of Excel,map different data sets with drag-and-drop ease to build data models to give you the bigger picture of your business.
Once data has been appropriately collected and analyzed,simulations and data models can be presented to identify the potential outcomes of choices before actually embarking on them- making it easier for organizations to test large, institutional changes such as new shipping routes.
Modules can be used to represent specific business-related functionality(for example, profile management) and encapsulate all the views,services, and data models required to implement that functionality.
Using medical and financial information as examples,students will be introduced to processes and data models to make the real world abstract, and they will attempt to actually design these as related database applications.
With the units you will study, we will equip you with the techniques of statistical analysis and data mining that can help you find the story in complex, high-volume, high-dimensional data from various sources-formulating high-quality data models and interpreting the results.
In addition to facilitating collaboration,this platform approach is designed to unlock and standardize data models that enable analytics and machine learning scenarios-data that has traditionally been managed in proprietary systems.