Big data is all around us and getting bigger by the minute. As enterprises and organizations, we produce big data ourselves through internal system logs, online sales sites, and “digital exhaust” of different kinds, although our individual output is only a drop in the ocean compared to all the big data out there. Read more
Where there’s data, there’s disaster recovery planning, right? By now, many organisations (but by no means all) have understood the need to put disaster recovery solutions in place for mission critical apps and the data they use, crunch, or generate. Read more
By definition, big data means there’s a lot of it. If it’s being held in one static repository, then at least you don’t have to worry about moving it around and checking it as you do so. If on the other hand your big data is being generated by hordes of devices attached to the Internet (the Internet of Things or IoT), data security takes on a different aspect. In this case, it comes into your data centre over the network and must be checked for suspect packets before being let through into your servers and storage spaces. But how do you cope with up to terabytes of data arriving at the same time? Read more
Is your organisation using Big Data? If it is, business continuity questions will not be far behind. The first one is, naturally enough, on the business continuity of Big Data. The more Big Data is a strategic element in your organisation’s operations, the more important it is to guarantee its availability. If Big Data stores and systems are not adequately protected, a company could suffer interruptions to business activities and the reputational damage stemming from them. The second question is whether Big Data could help you to improve business continuity. It’s rather like question one, but in the opposite direction. How can you start to tackle both questions? Read more