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There's valuable data in those contact center logs that have largely been gathering dust, and companies are using new tools to mine them to boost customer satisfaction and revenue and lower costs.
The Big Data hype machine is in full swing. While the promise is great, Big Data projects also can be an expensive trap if you fail to prove the business case or give your vendors leverage over you.
Google today announced the general availability of its cloud-based BigQuery Service, an online analytical processing (OLAP) system designed for crunching terabyte-scale datasets using the search engine giant's infrastructure.
By using Tibbr, this Hong Kong-based logistics company is able to share short messages to resolve exceptions, reschedule deliveries and keep customers happier.
Confusion over credits in Oracle's April 2011 Critical Patch Update advisory led to unpatched vulnerability being disclosed
Big data is fueling the need for ever-growing storage repositories. If you're looking to meet scalability concerns without breaking the bank, selecting a storage platform that can meet the needs of big data can be a challenge--but it doesn'
They say the road to hell is paved with good intentions. One of those good intentions is 'always keeping your data updated.'
Big data is all about storing and accessing large amounts of structured and unstructured data. However, where to put that data and how to access it have become the biggest challenges for enterprises looking to leverage the information. If you haven&#
Managing the petabyte-scale and larger data stores that are a fact of life with Big Data is a different beast than managing traditional large-scale data infrastructures. Online photo site Shutterfly--which manages more than 30 petabytes of data--shar
The pundits make it sound so simple. But CIOs wrestling with overwhelming amounts of unwieldy data know that 'big data' is a big challenge that requires high-quality data, new approaches to data management and more processing power. But the
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