Examples with "uses continuous data capture" and their translation in Japans
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It uses continuous data capture for local SAN replication, utilizes small aperture recovery points to protect the VMware ESX server platform remotely from data corruption, and guarantees recoverability locally with no data loss and remotely with minimum data loss.
It uses continuous data capture for local SAN replication, utilizes small aperture recovery points to protect the VMware ESX Server platform remotely from data corruption, and guarantees recoverability locally with no data loss and remotely with minimum data loss.
It uses continuous data capture for local SAN replication, and will utilize small aperture recovery points to protect the VMware ESX platform from data corruption, and guarantees recoverability with minimum data loss.
It uses continuous data capture for local SAN data protection to protect the VMware ESX server platform from data corruption, and guarantees recoverability locally with no data loss. RecoverPoint supports virtual-to-virtual replication using host-based RecoverPoint write splitters installed in each guest operating system.
A scheduled snapshot provides a smaller recovery point window, usually as short as three hours, and array-to-array mirroring can ensure that the last image is always available; however, logical corruption of the production data will be mirrored as well. RecoverPoint uses continuous data protection (CDP) technology to capture all changes to the production data and stores these changes in a journal along with time-indexed recovery information resulting in unlimited recovery points.
The idea behind integrated platforms is to enable users to initiate and manage multiple data protection processes (e.g., volume snapshots, continuous data capture, replication, and even data de-duplication) from a single console.
In this Topic: Features Included in Continuous Data Pipelines Workflow Features Included in Continuous Data Pipelines Snowflake provides the following features to enable continuous data pipelines: Continuous data loading Options for continuous data loading include the following: Snowpipe Snowflake Connector for Kafka Third-party data integration tools Change data tracking A stream object records the delta of change data capture (CDC) information for a table (such as a staging table), including inserts and other data manipulation language (DML) changes.
Reduce inventory, improve in-store customer service, and ensure continuous availability of customer-facing EMC's powerful software and solutions you can simplify data management, increase customer self-service, and more easily capture and use customer transaction and interaction information.
The example in this topic configures a continuous replication environment that replicates data manipulation language (DML) changes to all of the tables in the hns schema. This example uses a capture process at each database to capture these changes. Hub-and-spoke replication means that a central hub database replicates changes with one or more spoke databases do not communicate with each other directly. However, the hub database might send changes generated at one spoke database to another spoke database.
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