Taming Data Sprawl Reduces Cost of Federal Data Protection

1. Taming Data Sprawl Reduces
Cost of Federal Data Protection
By: Kimberly deCastro

2. Taming Data Sprawl Reduces Cost of Federal Data
Protection
Based in Santa Fe, New Mexico, Kimberly deCastro is the president and CEO of Wildflower
International, a HUBZone-certified computer technology company. Dedicated to exemplary service,
Kimberly deCastro’s Wildflower provides cloud computing services to federal government
agencies. It also advises them on efficient, cost-effective data protection practices.

3. Taming Data Sprawl Reduces Cost of Federal Data
Protection
Data protection is a necessity, but it should not be costly. However, federal agencies usually have
high data protection costs. The reason for this is data sprawl. These agencies typically have large,
spread out data environments: terabytes of data stored in different applications. For example, they
store data on Oracle or SQL Server databases, run these systems using Windows or Linux, and
rely on physical and/or virtual servers. This diverse and complex mix makes backing up and
recovering data complex, expensive, time-consuming, and challenging.

4. Taming Data Sprawl Reduces Cost of Federal Data
Protection
A better way for federal agencies to protect data is to end data sprawl, consolidate applications,
and streamline compliance systems. This will improve overall data protection and backup, make it
simpler to recover lost data, reduce associated costs, and make scaling easier.

5. Taming Data Sprawl Reduces Cost of Federal Data
Protection
A good solution to consider is Dell EMC’s Integrated Data Protection Appliance (IDPA). Highly
efficient and easy to deploy, IDPA brings together data protection storage, search, and analytics to
make managing multiple data streams easier. It also has a high data deduplication rate of 55:1,
meaning it protects up to 55 times more data for every unit of physical storage required, and uses
sophisticated algorithms to capture both unique and fixed data sets.