Keeping Business Going When Extreme Weather Threatens Data
9 August 2022
The NOAA prediction of an above-normal Atlantic storm season seems to be staying on course but while extreme weather can be bad for digital devices it doesn’t have to mean a bad day for data. Forecasts are a good reminder of the precautions and prevention tips you can take to protect data and keep business going in the event of tough climate threats.
Extreme Weather Conditions Tough on Technology
16 August 2021
Extreme weather conditions can be tough on our digital devices and data and with an above-average summer storm season predicted by the NOAA it’s a good reminder of the preparation and precautions you can take to protect business from climate threats and data disasters.
Severe Summer Weather Predicted - 3 Strategies to Keep Data Safe
22 July 2020
An above-normal seasonal prediction from the NOAA is a good reminder to be aware of strategies to protect your technology and data from the effects of severe summer weather.
Data Disasters: When a Big Data Loss Becomes a Giant Problem
16 March 2016
Filing cabinets and safety deposit boxes are old-school. In this technological age, our personal, most valuable information is secured somewhere in the digital universe. It might be saved on an external hard drive or on an internal server. It might live in the Cloud, in an encrypted file, or in a Dropbox folder. Wherever your data is located, there’s no way to be sure it’s 100% safe or secure.
Disaster is inevitable. Sometimes it’s a fender bender or a stolen credit card. Other times, it’s a Big Data disaster.
What is Big Data?
Big Data is a recent ‘hot topic’ in the tech world. It is:
“A term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.”
The second part of this definition is the critical piece; it’s not the amount of data, but what can be done with the data.
