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Vol. 4 No. 8 October 2005

Katrina data management snafus compound chaos

In the weeks that followed Hurricane Katrina, IT professionals and volunteers scrambled to assemble technology to reunite evacuees with their loved ones. But while technology eventually prevailed, many reunions were delayed as IT and bureaucracy clashed in the face of the unprecedented disaster. On arrival at Houston's Astrodome shortly after the hurricane, approximately 25,000 evacuees filled out a form with their personal information and gave it to the American Red Cross. Volunteers then entered the data into a pilot database program called the Coordinated Assistance Network (CAN), run by a group of nonprofit organizations, including the American Red Cross and the Federal Emergency Management Agency (FEMA). Related articles Katrina-affected business gets back Ontrack How to survive a hurricane Preparing for the worst: Effective DR in five stepsHow to create a business continuity plan "CAN is an Internet-based database in which many agencies post information for the purpose of sharing data," said Andrew Adams, an IT production ...

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Features in this issue

  • Hidden threats to data

    Inadequacies in storage governance and weaknesses in data management may pose far less-visible risks to a company's data. To mitigate these threats, you must be aware of the impact and probability of these risks to reduce or eliminate them.

  • Safer SATA for nearline apps

    New SATA drivers tailored for nearline apps

  • Keep remote offices in sync

    With regulatory compliance, data protection requirements and the need to share data, remote office data can no longer be ignored. Wide-area file system products can rein in and protect remote data.

  • Will your disaster recovery plan work?

    No matter how many checklists a company creates, the number of disaster scenarios it considers or even how assiduously it backs up data, managers can't be confident in their firm's ability to recover data unless the systems have been tested thoroughly.

  • Better capacity forecasting

    There are two methods for devising storage capacity forecasts: quantitative and qualitative. By combining the two, you can develop practical metrics that will make more accurate forecasts.

  • Data grids for storage

    Data grids are used by the scientific community to access data resources around the world. Companies can use the principles underlying these global grids to link geographically dispersed sites.

Columns in this issue

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