Examples of using Defined data in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Software Defined Data Center.
The profile may further include other user defined data.
FILE is a defined data type.
Radware®(NASDAQ: RDWR), is a global leader of cyber security and application delivery solutions for physical, cloud,and software defined data centers.
Software Defined Data Center Solutions.
Easily integrates into automated and software defined data center environments.
In 2014, the Software Defined Data Center will smash the current paradigm, giving enterprise and government the ability to fully exploit cloud with confidence.
VMwares Software Defined Data Center.
Eccom Software Defined Data Center Solution.
Only within strictly defined data fields.
IS3 addresses these challenges with our software defined data center architecture comprised of advanced hardware, software and partner ecosystem solutions.
We call this“Software Defined Data Acquisition”.
In 2017,only 20% of enterprises will deploy software defined data centers on schedule because capacity constraints in critical facilities delay transformation efforts.
It is used to perform operation on user define data type.
It encapsulates the data and provide mechanisms for defining data security.
They encapsulate the data, and provide mechanisms for defining data security.
It encapsulates the data and provide mechanisms for defining data security.
They encapsulate the data, and provide mechanisms for defining data security.
Define data migration strategy.
Define data migration strategy.
Define data sources, add metadata, and author entirely new calculations and data fields for everyone to use.
The main way of defining data types in Agda is via inductive data types which are similar to algebraic data types in non-dependently typed programming languages.
In other words, users can define data flow and create dashboards and applications within a single GUI.
It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
Key data engineering challenges include data creation oracquisition, defining data ontology, and building appropriate data“pipes.”.
The three most common barriers include: defining data and analytics strategy;
The three most common barriers include: defining data and analytics strategy;
The presentation layer provides translation of data, defines data formatting, and provides syntax.