MACHINES
GENERATE
SIGNALS.
MAKE THEM
USEFUL.
A direct .com for the systems that organize, contextualize and operationalize machine-generated data.
01 / MACHINE DATA
A machine
never produces
just one signal.
Physical equipment can produce many kinds of operational information across time. The challenge is making those signals usable together.
STATE.
EVENT.
MEASUREMENT.
CYCLE.
CONDITION.
HISTORY.
02 / SIGNAL FAMILIES
Different machines.
Different signals.
ILLUSTRATIVE SIGNAL CLASSES
03 / CONTEXT
A signal without context
is only a value.
STATEEVENT
TIMECONTEXT CHANGES THE DATA.
A value becomes more useful when its relationship to the physical system is clear.
04 / MACHINE IDENTITY
Data needs
something to belong to.
Operational data becomes easier to use when its relationship to the physical system is clear.
- ASSET CLASS
- MACHINE
- SYSTEM
- PROCESS
- LOCATION
- STATE
- CONTEXT
- HISTORY
05 / ALIGNMENT
Signals become useful
when time lines up.
Different systems can record different signals at different rhythms. A coherent time context can make machine events easier to inspect together.
06 / EVENTS
Machines have moments
that matter.
07 / STATE
Data means different things
in different states.
08 / DATA QUALITY
Operational data
also has quality.
DataOps includes understanding whether machine data is fit for the next use.
COMPLETE
MISSING
LATE
DUPLICATE
UNALIGNED
UNCERTAIN
VALIDATED
09 / DATA STRATA
Machine data
has layers.
Live signal, events, state, history and context can coexist as one operational record.
10 / DATA LOCATION
Some data starts
close to the machine.
Local processing
Central storage, analytics and model workloads
11 / APPLICATIONS
A name built for
machine data.
- 01INDUSTRIAL IoTCONNECTED EQUIPMENT DATA
- 02EDGE DATALOCAL SIGNAL OPERATIONS
- 03ASSET INTELLIGENCEPHYSICAL SYSTEM CONTEXT
- 04CONDITION MONITORINGSIGNAL + HISTORY
- 05INDUSTRIAL AIOPERATIONAL DATA LAYER
- 06OT DATA INFRASTRUCTUREMACHINE-GENERATED RECORDS
12 / DOMAIN AVAILABLE
FROM SIGNAL
TO CONTEXT.
The operations layer for machine data.
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