With cybersecurity boundaries going beyond the traditional walls of an office and attack surfaces constantly expanding, data breaches are inevitable. Managing risks from data breaches requires organizations to develop a comprehensive incident response plan – an established guideline that facilitates incident detection, response and containment, and empowers cybersecurity analysts to secure a company’s digital asset.
Even though NoSQL databases like Amazon’s own DynamoDB are very popular today, for many business use cases, there’s almost no way around using a traditional relational database. Amazon Relational Database Service (RDS), released back in October 2009, is one of Amazon’s first cloud services and can therefore be seen as a very mature service.
The term ‘big data’ is used so commonly in research and marketing terms, you would think it’s been here forever. But actually, big data evolved from database marketing (read first efforts of targeted direct mail) in the mid to late 1980’s. This was the first attempt of marketing agencies and large corporations to begin segmenting their customer databases to create different offers based on the demographics or psychographics of their customers.
In our quest to provide the leading network observability solution, Kentik has been focused on developing a service for NetOps teams that empowers them to have intimate knowledge of their network traffic and the devices that route traffic. Our service helps them plan capacity, project costs, optimize routes, detect unwanted traffic, troubleshoot issues and analyze events.
