Don’t Let Legacy Systems Slow You Down

In our ever changing technology environment, new opportunities are everywhere.  Predictive analytics, big data, mobile, cloud and virtualization are but a few.

These new technologies improve business competitiveness, increase agility, save money and more.

But migrating from existing systems can be risk prone.  And efforts often drag out.

Use Data Virtualization Migrate Successfully, Faster and with Less Risk?

Most people think of data virtualization as a high productivity, low cost way to integrate data for business intelligence and analytics.  However, it is also very effective at legacy migration.

The key to data virtualization’s migration success is how it decouples source and consuming applications.  This allows legacy migration to be done in a phased approach within the constraints of existing infrastructure.  Said another way, data virtualization inserts flexible middleware that isolates the rest of the system from other “moving parts.”

From “As Is” to “Will Be” and Everything “In Between”

First you identify the future “will be” state and all the “transitional” states in between.

Next, you insert data virtualization between the sources and consumers.  This forms a layer of insulation that allows phased changes to legacy sources or consumers without impacting the related sources and consumers.

Then you make the changes is a controlled fashion, validating success at every step.

As a result, you can modernize quickly, with low risk.

Data virtualization includes seven key capabilities you can use to accelerate and de-risk legacy migration.

1.  Migrate Legacy Data No Matter How Complex, Big or Old

Legacy data with a complex structure or code that is too old and seems difficult to integrate is not an obstacle. Data virtualization excels with complex data, big data and the ability to virtualize a wide range of data, including both structured and unstructured data.

2.  Transition Diverse Sources and/or Consumers

Data virtualization non-invasively integrates data from anywhere across the extended enterprise—in a unified, logically virtualized manner—for consumption by nearly any front-end business solution.

3.  Deploy without Impacting Your Business Processes

Data virtualization’s decoupling of sources and consumers even as you migrate them, assures the continuity of your daily business operations will not be affected.

4.  Ensure Reporting Continuity

Data virtualization also insulates reporting users during data warehouse migrations.

5.  Complete Your Migration Effort Quickly

Think in terms of weeks, not years.  Development and deployment is fast and easy with data virtualization.  Most implementations take just a few weeks.

6.  Get Productive Faster

Your IT staff will enjoy using data virtualization platforms such as the Composite Data Virtualization Platform.   They are easily to learn and use.  And they completely automate many of the tasks required.

7.  Keep Your Data Secure

Data virtualization executes authentication and authorization security functions to protect your data from improper use before, during and after migration.

Share Your Legacy Migration Success

Have you used data virtualization to help migrate a legacy system?  If so, let’s hear about it.

One Response to Don’t Let Legacy Systems Slow You Down

  1. Andy Sturt says:

    We’re currently working on migrating our analytical data from SQL Server to Netezza, and are attempting a 2.0 version of the layered DV structure on top of it. As user access is currently only though Composite publications, the change should be seamless to them.

    Of course, this is something we’re having to do in-between everything else as it is an enhancement, not a project to provide new functionality, so it’s taking us a little while to get there, but the benefit should be significant.

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