Data Storage

Computer data storage is accomplished on a variety of physical devices including memory chips, disk and tape drives, flash and other solid state memory and new storage mediums that store and read information. Data storage is an overhead archival cost that must also be managed for risk and compliance across a lifecycle of demand, usability and disposal.

The State of Cloud Standards

Justin Kern | Feb 10, 2012

newsOpen Data Center Alliance leads update discussion on cloud regulation, interfaces and service agreements

Center Introduces Computing Cabinets with Chimneys

Tom Steinert-Threlkeld | Feb 08, 2012

newsNasdaq OMX Group upgrades power, speed at New Jersey data center

Outsourcing, After 34 Years In House

Shane Kite | Feb 02, 2012

case studyOutsourcing servers make for a huge cultural change at one Massachusetts bank

The Faster, Cheaper Side of IT

Jim Ericson | Jan 26, 2012

Information Management BlogsEconomics, advances in RAM, main memory changing how companies transact, analyze data

State Clouds Have Local Lining

Justin Kern | Jan 23, 2012

reportIDC: regional cloud hubs uniquely positioned to cut costs, standardize data and reporting

Testing the Edge of the Cloud

Justin Kern | Jan 23, 2012

NEWSFederal “Magellan” project finds high costs in fully shifting massive research data loads to virtual deployments

Getting Started with Big Data

Jan 12, 2012

Web Seminars

Big data is making headlines for the business benefits it promises to a wide range of businesses. With more data comes better insight, and the opportunity to improve margins, products, marketing campaigns and customer loyalty. The potential financial benefits are real. But making the most of big data means that you must keep the data in the first place, rather than just discarding it.

Join David Segleau, Director of Product Management at Oracle, and an expert on NoSQL. David will discuss the spectrum of big data solutions, and then focus on two common technologies for capturing and storing big data: Hadoop Distributed File System and Oracle NoSQL Database. He will discuss the approach and strengths of each application, and provide use cases for when to use each one. The presentation concludes by summarizing how to transform and filter data as needed, loading it into an Oracle data warehouse for the deep analytics needed to generate new insight.

In this webcast you will learn about: