Getting Ahead of the Internet of Things
Business Technology | March 27, 2015
IT techs need to be ready when the IoT lands. It’s estimated that well over 20bn devices will be a part of the IoT, ranging from consumer goods like toasters to complex sensor arrays in smart homes and vehicles. The volume of data created by this network will be gigantic, requiring a rethink from organizations in terms of how they view, manage, store, and even think about data.
Getting Ready for IoT
Over the next decade, the growth in the number of IoT networks will be very large and very fast. Every industry vertical will be involved, because no-one will be able to afford to turn down the benefits associated with IoT. Its effects will be felt everywhere from manufacturing to healthcare, sometimes in unpredictable ways.
Re-evaluate Database Architecture and Data Management Strategies
Right now, most companies have a core database that houses transactional data. IoT data won’t replace that, but it won’t behave the same way either. Look for solutions that will support multiple deployment scenarios. Your database technology should be capable of scaling up and down, to be device-agnostic while having the potential to accommodate a huge amount of data.
Remember: Not Every Database Will Cope With IoT
You need to select a database that’s built to cope with the volume, velocity and variety of data that’s going to come to you from IoT sources. Time-series and geospatial-oriented databases will cope far better than general purpose databases.
Deploy Data Management Technology
Consider the potential value of deploying data management technology both within the network and on its borders. As the volume of data generated by IoT networks grows this is likely to become an unavoidable necessity, and those enterprises that implement data management, processing, and analysis will have a significant advantage in that, while they might not have more data than their competitors, they will have more useable data.
There’s More to IoT Than Coping With The Data
At first glance, IoT seems to offer one main challenge: how to cope with all that data. But how well companies emerge from the early days of IoT is going to depend more on how they respond to some other challenges, including the access IoT will grant to new markets and new applications within existing markets. As the number of devices capable of gathering and sharing data grows, so more and more enterprises will find it cost-effective to leverage the increase.
IT techs need to be ready when the IoT lands. It’s estimated that well over 20bn devices will be a part of the IoT, ranging from consumer goods like toasters to complex sensor arrays in smart homes and vehicles. The volume of data created by this network will be gigantic, requiring a rethink from organizations in terms of how they view, manage, store, and even think about data.
Getting Ready for IoT
Over the next decade, the growth in the number of IoT networks will be very large and very fast. Every industry vertical will be involved, because no-one will be able to afford to turn down the benefits associated with IoT. Its effects will be felt everywhere from manufacturing to healthcare, sometimes in unpredictable ways.
Re-evaluate Database Architecture and Data Management Strategies
Right now, most companies have a core database that houses transactional data. IoT data won’t replace that, but it won’t behave the same way either. Look for solutions that will support multiple deployment scenarios. Your database technology should be capable of scaling up and down, to be device-agnostic while having the potential to accommodate a huge amount of data.
Remember: Not Every Database Will Cope With IoT
You need to select a database that’s built to cope with the volume, velocity and variety of data that’s going to come to you from IoT sources. Time-series and geospatial-oriented databases will cope far better than general purpose databases.
Deploy Data Management Technology
Consider the potential value of deploying data management technology both within the network and on its borders. As the volume of data generated by IoT networks grows this is likely to become an unavoidable necessity, and those enterprises that implement data management, processing, and analysis will have a significant advantage in that, while they might not have more data than their competitors, they will have more useable data.
There’s More to IoT Than Coping With The Data
At first glance, IoT seems to offer one main challenge: how to cope with all that data. But how well companies emerge from the early days of IoT is going to depend more on how they respond to some other challenges, including the access IoT will grant to new markets and new applications within existing markets. As the number of devices capable of gathering and sharing data grows, so more and more enterprises will find it cost-effective to leverage the increase.