data replication

Unlike ETL and data replication, event publishing does not know where the data is going and how it will be used.

In contrast to ER, in a cluster, you cannot control the granularity of data replication; the entire server's data is always replicated.

Cache and data replication patterns can be used to supplement the data federation or in the creation of a composite pattern.

Both MobiLink and SQL Remote provide data replication between a consolidated database and a set of remote databases.

The invention relates to a mobile phone data replication method and a mobile phone data replication system.

Data replication is also referred to as data synchronization.

Data replication technologies have been widely applied in data grid environments to reduce data access latency and bandwidth consumption.

This process may take just as long as the actual data replication.

Data replication can be propagated in a synchronous or asynchronous fashion.

Data replication is a common technique used in data grid systems for improving the performance of sharing data access.

Cluster continuous replication CCR combines automatic management of redundancy and application-level data replication.

Data replication is a process that copies data to a remote location either continuously or at defined intervals.

Data replication is an important technique for ensuring data availability in the on demand business environment.

Q Replication is therefore real-time data replication, with much higher performance, sub-second latency, and extremely high throughput.

Using data replication or otherwise copying a subset of the entire dataset to the target system might provide a solution.

Optimized for the sequential reading of large files, it automatically manages data replication and recovery.

Data replication ensures the data consistency between the primary and backup system.

Most enterprises undergo extensive data replication as part of their daily operations.

This data replication is not performed in a synchronous manner.

Replication on-demand: Triggers are defined that cause data replication manually or automatically.

To solve the issue of data replication, you can implement software and hardware mirroring or synchronous replication.

For read-only data, replication and distribution are also possible (as is done using content delivery networks).

If you are using Data Replication Service (DRS), your existing configurations should continue to work.

This approach can be expensive to implement, and it is not required for Exchange data replication.

High-Availability Data Replication or HDR is the oldest replication technology in IDS.

Data replication is the sharing of data among physically distinct databases.

This section introduces basic concepts in data replication.

NOTE: The Capture setting is normally used only if you are setting up your database for data replication.

System OS data replication is not discussed here.

In order to reduce processing and memory requirements, LwIP use data replication does not require any cutting of after the API.

Data replication of product artifacts.

You should use public folders when your business requires data replication to multiple servers.

The transaction log plays a key role in backup and recovery (see The transaction log), and in data replication.

You can set up High-Availability Data Replication using standard ON-Bar or ontape commands for external backup and restore.

In addition, if you are using data replication, the CAPTURE program can write the updates recorded in the logs to the change table.

The documentation included with the Jetstress tool includes information about how to test data replication solutions.

Data replication can access data in real-time or near-real-time.

Data replication moves copies of data from one location to another location.

Research and implement of "Data Replication Method based on SQL Regeneration"

This article describes a specific example of how to set up data replication using the Replication Center.

A DB2 redundant node can be set up with data replication.

Informix also remains ahead in areas such as clustering, data replication and grid-based computing.

This is also made possible by the use of three failure groups, which are further explained under Data replication.

The typical way to extract logged data is data replication.

Data replication technique can not only avoid downloading data from remote replica servers, but also enhances the data availability.

Generally, storage data replication solutions handle a replication link failure in one of the two following ways

Data replication technology and its application in heterogeneous databases

Application and Implementation of Data Replication in Equipment Guarantee Command System

Application of Oracle Data Replication in a Packaging Corporation

Research and Simulation of Data Replication Strategies and Algorithms in Data Grid Environment

The Enhanced Availability of Three Dimensional Grid Structure for Data Replication

Achieving Fast Data Replication in Content Distribution Networks

Data Replication Strategies for Network Environment

Research and application of data replication in distributed system

Application of Data Replication Technology in the Information System

Research of the primary IO strategy in data-replication system

Design Scheme of Enterprise Data Replication Platform

A Log-based Data Replication Approach in Mobile Environment

Research and Design of State Machine in Data Replication System

A Survey on Data Replication Technologies in Data Grid

Application of the Atomic Model to Data Replication Based on Network Storage

Research and Implementation of Data Replication based on Gateway Pattern

Research of data replication protocols based on distributed system

Formation of Operation Orders System Based on Dynamic Data Replication

The SQL Server Database Engine and tools for managing relational and XML data, replication, and full-text search.

Data Replication Strategies for Grid Based on Access Frequency

Data Replication Works on OS Level

Model of data replication strategy based on security in grid

Data Replication Based on Incremental Log

Deployment Guidelines for Exchange Server Multi-Site Data Replication