costs. So it is basically targeting the
notion of handling large volumes of data
and detects patterns at the edge where
the data occurs. SAP Dynamic Edge
Processing integrates business context
information with IoT decision-making at
the verge. It combines algorithms,
syncing architecture and database
technologies with features for device
connectivity and many more.
Model Demeanor for IoT
SAP IoT Application Enablement
provides a way to consume and manage
IoT big data without any efforts to
manage the underlying data storage. To
create an enhanced virtual representation
of the product, it combines sensor data,
business data and contextual data.
Combining an accurate virtual model of
how a thing operates with real-time data
collected by sensors allows detailed and
realistic digital representations of a
physical asset over its lifetime.
If there is any reference implementation
of how to handle coolers or coffee
makers, there will be customers who say,
‘My model of coffee maker is different,
so I want the following attributes added.’
So, underneath all these models is
something called a thing model, and the
idea is to quickly whip up the next thing.
Micro services are included in IoT
Application Enablement for SAP HCP
which allows other systems to retrieve
enriched digital twin data, including
business semantics, product master data
hierarchy data and customer contact
documentation.
SAP IoT Application Enablement
includes a software developer’s kit to
build IoT applications faster by focusing
on design, rather than coding for
developing IoT applications. Built-in
features also minimize the need to define
data management by calculating
aggregates, splitting data into warm and
cold storage and applying data retention
policies.
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