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Integrating Globally Distributed Data: A New Approach
The challenges of doing business in today’s “small,” connected world
By: Frank Huerta
Jul. 15, 2014 10:30 AM
The era of Big Data is upon us. The volume, variety and velocity of data now being generated is unprecedented in human history. This poses a challenge for those tasked with data integration: how can we manage all this data, particularly across distributed data centers around the world? The complexity and compliance issues of modern data management must be addressed.
Health care organizations, online subscription services, banks and many other businesses need to provide user-friendly service while ensuring trust by protecting and managing critical data. For example, Personally Identifiable Information (PII) that includes sensitive information such as credit card numbers, names and Social Security numbers, can be extremely challenging to manage effectively. There are multiple issues associated with data integration, especially when applied in a cross-regional context that must be considered.
The Challenges of Globalization
The effects of globalization are many and varied, adding layers of complexity to business operations. One effect is that many foreign governments are becoming increasingly inflexible about data privacy and security for data originating in-country. While regulations vary by country, there are growing requirements for PII data to remain in the country of origin. This means that policies must be created and maintained to ensure that data is stored in compliance with these regulations, which might be easier said than done when a company operates across continents.
This places companies between the devil and the deep blue sea, as it were. They must store data where it is most convenient and thereby risk non-compliance or set up data stores by region. Each of these brings its own difficulties:
In the best of all possible worlds, businesses would be able to both adhere to regulations and have real-time access to their data.
A Best-Case Scenario
Organizations that implement a data integration solution that lets them retain the infrastructure they have, while addressing data location compliance issues, will substantially reduce costs and administrative time. This new approach takes advantage of a "scale-out" architecture where capabilities are extended by simply adding identical data management "nodes" and enables easy scaling either within a data center or to multiple locations around the globe. Integrated policy management virtually eliminates the manual labor usually involved with scaling such a system and delivers a more streamlined, automated process.
It's a Small World After All
Nodes can run alongside existing database systems and may also be deployed
Globalization has changed the way we do business, and some of those changes require organizations to rethink how they manage their cross-regional data. They must find a way to remain compliant with regional regulations while ensuring real-time access to their data. New node-based data management unifies data across different systems and regions, providing real cost savings, real-time data visibility and better response times for remote users. This development in data management helps address the challenges of doing business in today's "small," connected world.
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