Over the last few years there has been a rapid surge in the adoption of smart devices. Everything from phones and tablets, to smart meters and fitness devices, can connect to the Internet and share data. You only have to follow @MarkRittman and his experiences with getting his kettle to boil remotely to see just how many devices within your own home can connect to the internet.
And I've finally found a use for my Google Home – if I say "time for a cuppa" it tells the Amazon Echo to put the kettle on pic.twitter.com/l87eyxOweT
— Mark Rittman (@markrittman) April 16, 2017
With all of these smart devices, comes a huge increase in the frequency and volume of data being ingested into and processed by databases. This scenario is commonly referred to as the Internet of Things or IoT.
Some people assume that a NoSQL database is required for an IoT workload because the ingest rate required exceeds the capabilities of a traditional relational database. This is simply not true.
Continue reading “Best Practices For Large Volume or IoT Workloads”