Big data is nothing new to Quicken Loans. The nation's largest online retail mortgage lender is accustomed to storing and analyzing data from more than 1.5 million clients and home loans valued at $70 billion in 2012.
Old storage architectures with general-purpose controllers that service all the new functions along with the normal I/O workload won't be able to scale. Here's why storage systems will need to become full-scale storage computers. Insider (registration required)
Twitter, Facebook, the Library of Congress -- all of these institutions have mind-numbing amounts of structured and unstructured data that must be indexed and searched quickly. In Twitter's case, that's about 300 million new pieces of information to index every day.
"Richard," a 40-year-old IT architect, felt like his career path had reached its end at the financial services company where he'd worked for seven years. In a shaky economy, he was grateful to have a job at all, but when his employer eliminated matching funds in his 401(k) plan, as well as its profit-sharing program -- which usually put an extra $1,000 in his pocket each year -- he knew he had to go.
Encryption can make up for a litany of security snafus -- from a bad firewall to an unrelenting hacker to a lost laptop. Once data is encrypted, criminals can't use or sell it. Plus, if encrypted data goes missing, companies are protected from disclosure requirements in most states. No wonder 38% of companies surveyed by Forrester Research have already adopted full-disk encryption technology. But data protection doesn't stop there. Encryption keys and digital rights also must be well orchestrated and secured, or else encryption protection goes out the window.
Waste Management may be in the business of managing and reducing waste, but it's really a transportation and logistics company with 20,000 trucks driving 100,000 routes daily, according to Puneet Bhasin, 49, senior vice president and CIO.
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