The ease with which we have long been able to retrieve information from the World Wide Web (WWW) using increasingly efficient and high quality search engines underscores a less-than-impressive performance from search engines serving the enterprise environment. Off-the-shelf tools that let organizations retrieve their enterprise information just do not give us the same experience as Google or Bing. But what if you could build your own enterprise information retrieval system by leveraging open source tools and platforms?
In this blog, we will explore the feasibility of doing just that.
In an age when most companies invest to become data-driven, the value of data is increasingly a key criteria for making IT decisions, and the protection of the data becomes paramount to those decisions
When making backup-related decisions, price justification involves the potential capital loss to the organization when a data loss or unavailability occurs. Understanding the value of data and access to that data is key when prioritizing backup technology or even for deciding which infrastructure to protect during a cyber-attack. However, estimating this price is not trivial.
I recently worked on a research project with a team of academic partners at Ben-Gurion University for prioritizing data replication to minimize the monetary loss in the case of a disaster. The method we derived can limit the costs of data loss, and could provide a high return on investment (ROI) of up to one million dollars per incident.
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