DataGravity just released their embargo and my little techie corner of the Internet is on fire. There's a very good reason for that, but it might not be obvious at a glance. Read on to learn why DataGravity is a Big Deal even though it might not work out. Let's start with the hardware: DataGravity just introduced a pretty ordinary storage array aimed at the fat middle of … [Read more...] about Why is DataGravity Such a Big Deal?
I'm off to beautiful Toronto, Ontario, Canada for tomorrow's storage virtualization seminar. It will be very interesting to learn if there are differences between the two countries in terms of technologies employed or (more likely) business objectives served by server and storage virtualization technology. As I noted after my date with Charlotte, American companies are … [Read more...] about Toronto Seminar: Do Canadians Virtualize?
What is the best way to use email archiving systems for e-discovery? Earlier this year, I co-wrote a whitepaper on the topic (sponsored by LiveOffice), and on Wednesday I will present a companion webinar. The gist is that email archiving can be an incredibly useful tool to manage legal risks and enable more effective discovery of message content. Electronic discovery is … [Read more...] about Six Critical Steps For Managing Email E-Discovery
My webinar on building a business case for email archiving was very well-attended, so I was not able to get to everyone during the question and answer section. Since the questions were really excellent, I thought I would include them (and my responses) here. … [Read more...] about Answering Your Email Archiving Questions
Interested in e-discovery? Read my new article on SearchSecurity.com, titled Easing e-discovery preparation by mapping enterprise data. "Most information security pros have a handle on the major data types found in their environments, but they also know that there is a whole lot more data lurking around the edges. These unknown data types can include documents used by … [Read more...] about Easing E-Discovery Preparation by Mapping Enterprise Data