Examples of using Distributed data management in English and their translations into Chinese
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Distributed Data Management.
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You will learn how to solve some of the key technical challenges with using themicroservice architecture including inter-service communication and distributed data management.
SOLIDWORKS Distributed Data Management.
When developing microservices, we must tackle the problem of distributed data management.
You also need to deal with some complex distributed data management issues when developing microservices.
When developing microservices, we must tackle the problem of distributed data management.
You also need to deal with some complex distributed data management issues when developing microservices.
Increased network reliability through distributed data management;
IBM's QRadar uses a distributed data management system that provides horizontal scaling of data storage.
Improved network resiliency through distributed data management;
Blood-gas instruments management system: Distributed data management application written entirely in C++(using the ACE framework in TAO CORBA), providing monitoring and reporting facilites.
While this database architecture has significant benefits,it creates some distributed data management challenges.
In 1986, IBM announced client and server support for Distributed Data Management Architecture(DDM) for the System/36, System/38, and IBM mainframe computers running CICS.
By adopting distributed architecture and distributed virtual bus technology,HarmonyOS offers a shared communications platform, distributed data management, distributed task scheduling, and virtual peripherals.
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However, it does introduce some distributed data management challenges.
Note that a distributed security data management services is a one of the layers of ESG's SOAPA.
What the authors really want to gripe about is distributed“cloud” data management systems like Amazon's SimpleDB;
HBase data management is implemented by distributed region servers, which are managed by HBase master(HMaster).
Although Web data management provided the original motivation for massively distributed cloud architectures, these systems are also making rapid inroads in enterprise data management.
This architecture integrates two systems, one dedicated to scalable distributed data storage and management and the other dedicated to data exploitation.
Here are the top-ten big data trends:Hadoop is becoming the underpinning for distributed big data management.
Here are the top-ten big data trends:Hadoop is becoming the underpinning for distributed big data management.
In addition to being a distributed data container, Geode is an in-memory data management system that provides reliable asynchronous event notifications and guaranteed message delivery.
The ACID properties and the CAP theorem are two concepts in data management to distributed system.
The ACID properties andthe CAP theorem are two important concepts in data management and distributed systems.
Virtualization, the expansion of the dynamic and scalable, the distributed mass data storage and management, flexible service are main technologies of Cloud Computing.
Virtualization, dynamicity and scalability, the distributed mass data storage and management, as well as flexible service, are the main technologies of cloud computing.