🖼️Needs for Data in Motion

To complete a credit card transaction, finalize a stock market transaction, or

send an e-mail, data needs to be transported from one location to another.

Data is at rest when it is stored in a database in your data center or in the

cloud. In contrast, data is in motion when it is in transit from one resting

location to another. Companies that must process large amounts of data in

near real time to gain business insights are likely orchestrating data while it

is in motion. You need data in motion if you must react quickly to the current

state of the data.

Data in motion and large volumes of data go hand in hand. Many real-world

examples of continuous streams of large volumes of data are in use today:

✓ Sensors are connected to highly sensitive medical equipment to monitor

performance and alert technicians of any deviations from expected per-

formance. The recorded data is continuously in motion to ensure that

technicians receive information about potential faults with enough lead

time to make a correction to the equipment and avoid potential harm to

patients.

✓ Telecommunications equipment is used to monitor large volumes of

communications data to ensure that service levels meet customer

expectations.

✓ Point-of-sale data is analyzed as it is created to try to influence customer

decision making. Data is processed and analyzed at the point of engage-

ment — maybe in combination with location data or social media data.

✓ Messages, including details about financial payments or stock trades,

are constantly exchanged between financial organizations. To ensure

the security of these messages, standard protocols such as Advanced

Message Queuing Protocol (AMQP) or IBM’s MQSeries are often used.

Both of these messaging approaches embed security services within

their frameworks.

✓ Collecting information from sensors in a security-sensitive area so that

an organization can differentiate between the movement of a harmless

rabbit and a car moving rapidly toward a facility.

✓ Medical devices can provide huge amounts of detailed data about differ-

ent aspects of a patient’s condition and match those results against

critical conditions or other abnormal indicators.