Business Considerations: Using Data Replication for Operational Synchronization

August 2, 2013 by · Leave a Comment
Filed under: Data Integration, Replication 

Continuing dependence on system interoperability for data synchronization, coupled with rapid acceleration of data volume growth combine to create growing challenges associated with data consistency, accuracy, and reliability. Without a strategy for enabling operational synchronization, your organization risks not having the ability to support those critical real-time activities that business processes increasingly demand. Read more

Using Data Replication to Enable Operational Synchronization

In my last post, we looked at some common use cases for operational synchronization, and each of those examples were effectively abstractions of scenarios in which there is benefit in establishing consistency and currency among either logically or physically distinct data assets. For example, creating a holistic and complete view of shared data entities is critical to any distributed master data management repository or distributed identity management service. Read more

Use Cases for Operational Synchronization

In my last post, I introduced the need for operational synchronization, focusing on the characteristics necessary for a reasonable methodology for implementation. In this post, it is worth examining some example use cases that demonstrate the utility of operational synchronization in a more concrete way. Read more

The Need for Operational Synchronization

Over time, organizations have employed a variety of strategies for managing data assets in accordance with the specific needs of the different business applications in operation. For the most part, applications were designed to achieve specific objectives within each business function. Correspondingly, any data necessary for the business function would be managed locally, while any data deemed critical to the organization would be subsumed into a centralized repository.

Yet this approach to centralizing data has come under scrutiny. Read more

Big Data, Sensors, and Data Integration as Part of the Machinery

June 4, 2013 by · Leave a Comment
Filed under: Data Integration 

Despite my clear understanding that the world’s data volumes are growing by leaps and bounds, I sometimes wonder whether the information management industry’s hyperfocusing on unstructured data seems a bit over the top. Yes, I know that social media channels such as Twitter and LinkedIn and Facebook, and etc. are pushing mounds of what we want to believe is valuable content that can be mined for exploitation in terms of targeted marketing and upselling and cross-selling. But when you actually sit down and read a series of Twitter tweets, for example, you might notice a few things. First of all, a lot of the activity is not original, but is merely a repeat of something someone else said. Second, the ability to follow a thread based on the hash tags is limited by the absence of all metadata; the same tag may be used for any number of concepts, and presuming they can be converged is actually somewhat naïve. Third, much of the content is formulaic and even automatically generated as part of a corporate social media initiative designed to maintain a social media presence, even at the mercy of publishing anything with significant content. Read more

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