high_scalability high_scalability-2010 high_scalability-2010-822 knowledge-graph by maker-knowledge-mining
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Introduction: Enterprises want to protect their data. As the appetite for data volumes grows, storage technology becomes a critical business asset on which business continuity relies. My recent survey in the medium-size enterprise segment shows the five dominant investment directions at the level of data management architecture: disaster recovery (DR), high availability (HA), backup, data processing performance and migration to more advanced databases. This suggests that corporations generally have sufficiently structured data collections but are concerned with business continuity and continuous availability of data. What infrastructures can provide these assurances? In this post I want to focus on yet another option, and that is the Real-Time Data Integration model. As an example I am going to discuss Oracle GoldenGate, which permits you to manage the data critical to your business in safety, ensuring business continuity without disruption even if the data is distributed among multiple, h
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1 As the appetite for data volumes grows, storage technology becomes a critical business asset on which business continuity relies. [sent-2, score-1.819]
2 My recent survey in the medium-size enterprise segment shows the five dominant investment directions at the level of data management architecture: disaster recovery (DR), high availability (HA), backup, data processing performance and migration to more advanced databases. [sent-3, score-1.734]
3 This suggests that corporations generally have sufficiently structured data collections but are concerned with business continuity and continuous availability of data. [sent-4, score-1.9]
4 In this post I want to focus on yet another option, and that is the Real-Time Data Integration model. [sent-6, score-0.142]
5 As an example I am going to discuss Oracle GoldenGate, which permits you to manage the data critical to your business in safety, ensuring business continuity without disruption even if the data is distributed among multiple, heterogeneous business applications and architectures. [sent-7, score-2.498]
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Introduction: Enterprises want to protect their data. As the appetite for data volumes grows, storage technology becomes a critical business asset on which business continuity relies. My recent survey in the medium-size enterprise segment shows the five dominant investment directions at the level of data management architecture: disaster recovery (DR), high availability (HA), backup, data processing performance and migration to more advanced databases. This suggests that corporations generally have sufficiently structured data collections but are concerned with business continuity and continuous availability of data. What infrastructures can provide these assurances? In this post I want to focus on yet another option, and that is the Real-Time Data Integration model. As an example I am going to discuss Oracle GoldenGate, which permits you to manage the data critical to your business in safety, ensuring business continuity without disruption even if the data is distributed among multiple, h
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Introduction: Many enterprises' high-availability architecture is based on the assumption that you can prevent failure from happening by putting all your critical data in a centralized database, back it up with expensive storage, and replicate it somehow between the sites. As I argued in one of my previous posts ( Why Existing Databases (RAC) are So Breakable! ) many of those assumptions are broken at their core, as storage is doomed to failure just like any other device, expensive hardware doesn’t make things any better and database replication is often not enough. One of the main lessons that we can take from the likes of Amazon and Google is that the right way to ensure continuous high availability is by designing our system to cope with failure. We need to assume that what we tend to think of as unthinkable will probably happen, as that’s the nature of failure. So rather than trying to prevent failures, we need to build a system that will tolerate them. As we can learn from a recent outage
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