Примери за използване на Different types of data на Английски и техните преводи на Български
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Medicine
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Computer
Different types of data.
Work with different types of data.
Different types of data can compress at different rates.
Working with different types of data.
Here you can find information on the storage life of different types of data.
We use different types of data.
These two protocols are used for different types of data.
You may find many different types of data, including the following.
How different types of data are used and what they're used for.
Personal data: Different types of data.
Different types of data can be combined and linked to build up our comprehensive profile.
But you can easily create partitions to keep different types of data separate.
Fields have different types of data, such as text, numbers, dates, and hyperlinks.
Than being programmed to spot patterns it“learns” about connections between different types of data.
Collected Personal Data: different types of data as outlined in the service's privacy policy.
Text boxes are the most popular choice for a calculated control because they can display so many different types of data.
MindFortress brings together many different types of data unlike any other software in an easy to use package.
Different types of data can be consolidated and linked to build a comprehensive profile of us.
Many individuals and organisations collect a broad range of different types of data in order to perform their tasks.
Many different types of data can be displayed in text boxes, and you can also use them to perform calculations.
Many individuals and organizations collect a wide range of different types of data in order to accomplish their tasks.
More details on the different types of data that shall be collected can be found in the process of using the relevant Arte.
Individuals and organizations produce and collect a broad range of different types of data in order to perform their tasks.
The software supports the different types of data and includes the special tools for the generation with systems of SQL-code.
The public vs. private cloud debate will continue to wane as organisations realise that they need to effectively manage all the different types of data they will be processing.
This section describes why we store different types of data for different periods of time.
A secondary value axis is useful when the average values for different data series vary widely or when you are plotting different types of data in one chart.
It will increase your confidence working with different types of data as well as give you a grounding in general management techniques.
Since there are different types of data, we have grouped them into data categories as we believe that the information is so more understandable.