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From queeniema <...@git.apache.org>
Subject [GitHub] incubator-edgent-website pull request #97: [WIP] changes for Edgent PR-309 (...
Date Wed, 06 Dec 2017 22:56:10 GMT
Github user queeniema commented on a diff in the pull request:

    https://github.com/apache/incubator-edgent-website/pull/97#discussion_r155386271
  
    --- Diff: site/docs/faq.md ---
    @@ -4,51 +4,74 @@ title: FAQ
     
     ## What is Apache Edgent?
     
    -Edgent provides APIs and a lightweight runtime to analyze streaming data at the edge.
    +Edgent provides APIs and a lightweight runtime enabling you to easily create event-driven
flow-graph style applications to analyze streaming data at the edge.
    + Check out [The Power of Edgent](power-of-edgent) to help you guickly gain an appreciation
of how Edgent can help you.
     
     ## What do you mean by the edge?
     
     The edge includes devices, gateways, equipment, vehicles, systems, appliances and sensors
of all kinds as part of the Internet of Things.
     
    -## How is Apache Edgent used?
    +It's easy for for Edgent applications to connect to other entities such as an enterprise
IoT hub.
     
    -Edgent can be used at the edge of the Internet of Things, for example, to analyze data
on devices, engines, connected cars, etc. Edgent could be on the device itself, or a gateway
device collecting data from local devices. You can write an edge application on Edgent and
connect it to a Cloud service, such as the IBM Watson IoT Platform. It can also be used for
enterprise data collection and analysis; for example log collectors, application data, and
data center analytics.
    +While Edgent's design center is executing on constrained edge devices, Edgent applications
can run on any system meeting minimal requirements such as a Java runtime.
     
     ## How are applications developed?
     
    -Applications are developed using a functional flow API to define operations on data streams
that are executed as a graph of "oplets" in a lightweight embeddable runtime. The SDK provides
capabilities like windowing, aggregation and connectors with an extensible model for the community
to expand its capabilities.
    +Applications are developed using a functional flow API to define operations on data streams
that are executed as a flow graph in a lightweight embeddable runtime. Edgent provides capabilities
like windowing, aggregation and connectors with an extensible model for the community to expand
its capabilities. Check out [The Power of Edgent](power-of-edgent)!
     
    -## What APIs does Apache Edgent support?
    +You can develop Edgent applications using an IDE of your choice. 
     
    -Currently, Edgent supports APIs for Java and Android. Support for additional languages,
such as Python, is likely as more developers get involved. Please consider joining the Edgent
open source development community to accelerate the contributions of additional APIs.
    +Generally, mechanisms for deploying an Edgent Application to a device are beyond the
scope of Edgent; they are often device specific or may be defined by an enterprise IoT system.
 To deploy an Edgent application to a device like a Raspberry Pi, you could just FTP the application
to the device and modify the device to start the application upon startup or on command. 
 See [Edgent Application Development](application-development).
    +
    +## What environments does Apache Edgent support?
    +
    +Currently, Edgent provides APIs and runtime for Java and Android. Support for additional
languages, such as Python, is likely as more developers get involved. Please consider joining
the Edgent open source development community to accelerate the contributions of additional
APIs.
     
     ## What type of analytics can be done with Apache Edgent?
     
    -Edgent provides windowing, aggregation and simple filtering. It uses Apache Common Math
to provide simple analytics aimed at device sensors. Edgent is also extensible, so you can
call existing libraries from within your Edgent application. In the future, Edgent will include
more analytics, either exposing more functionality from Apache Common Math, other libraries
or hand-coded analytics.
    +The core Edgent APIs makes it easy to incorporate any analytics you want into the stream
processing graph. Its trivial to create windows and trigger aggregation functions you supply.
It's trivial to specify whatever filtering and transformation functions you want to supply.
The functions you supply can use existing libraries.
    +
    +Edgent comes with some initial analytics for aggregation and filtering that you may find
useful. It uses Apache Common Math to provide simple analytics aimed at device sensors. In
the future, Edgent will include more analytics, either exposing more functionality from Apache
Common Math, other libraries or hand-coded analytics.
     
     ## What connectors does Apache Edgent support?
     
    -Edgent supports connectors for MQTT, HTTP, JDBC, File, Apache Kafka and IBM Watson IoT
Platform. Edgent is extensible; you can add the connector of your choice.
    +Edgent provides easy to use connectors for MQTT, HTTP, JDBC, File, Apache Kafka and IBM
Watson IoT Platform. Edgent is extensible; you can create connectors.  You can easily supply
any code you want for ingesting data from and sinking data to external systems.  See [EDGENT-368](https://issues.apache.org/jira/browse/EDGENT-368)
for a full code sample of publishing to Elasticsearch.
    +
    +## Does Edgent have a Sensor Library?
    +
    +No, Edgent does not come with a library for accessing a device's sensors.  The simplicity
with which an Edgent application can poll or otherwise use existing APIs for reading a sensor
value make such a library unnecessary.
     
     ## What centralized streaming analytic systems does Apache Edgent support?
     
    -Edgent supports open source technology (such as Apache Spark, Apache Storm, Flink and
samza), IBM Streams (on-premises or IBM Streaming Analytics on Bluemix), or any custom application
of your choice.
    +Edgent applications can publish and subscribe to message systems like MQTT or Kafka,
or IoT Hubs like IBM Watson IoT Platform.  Centralized streaming analytic systems can do likewise
to then consume Edgent application events and data, as well as control an Edgent application.
 The centralized streaming analytic system could be Apache Spark, Apache Storm, Flink and
samza, IBM Streams (on-premises or IBM Streaming Analytics on Bluemix), or any custom application
of your choice.
    --- End diff --
    
    nit: "Flink and **s**amza" --> "Flink and **S**amza"


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