PRO+ Premium Content/Storage

Thank you for joining!
Access your Pro+ Content below.
Vol. 4 No. 6 August 2005

Storage for manufacturing

Maybe it's because they make giant tractors and construction equipment that manufacturing companies like Caterpillar Inc. come across as large, ponderous operations. People imagine massive factories that house huge assembly lines, and assume the IT infrastructure needed to support the collaborative design and development of these monster machines will be equally massive and complex. It may have been this way once, but not today. "The IT infrastructure is not as big as you might think. There are a lot of parts used in the design of one of our products, but for the most part we have a few basic designs and a lot of different configurations. There's not a tremendous amount of data," says Kenneth Olson, technical specialist in the storage management group at Peoria, IL-based Caterpillar, which touts itself as the world's largest maker of construction and forestry equipment. The situation is similar at mailing product manufacturer Pitney Bowes Inc., Stamford, CT, which designs and manufactures mailing equipment ranging in size from ...

Access this PRO+ Content for Free!

Features in this issue

  • Bridging the gap

    Many disaster recovery and remote backup programs rely on an efficient, cost-effective WAN. Fiber-optic network technology is often required for long-distance data transmission, but you need to know what transport is best and the related implementation issues.

  • Monolithic going modular

    Monolithic systems go modular

  • DR testing infrequent at best

    Have you tested your DR plan?

  • Storage for manufacturing

    Manufacturing environments typically have different storage requirements than corporate apps, and have to deal with globally dispersed design teams as well as growing regulatory concerns. Here's how several prominent manufacturers have met the challenge.

  • New tools to classify data

    by  Brad O'Neill

    Putting data on storage systems appropriate to its value requires the ability to classify data. An emerging category of applications, Information Classification and Management apps, can index enterprise information and execute precise actions based on its content.

Columns in this issue