Adding Draco to 7.5 release

Merge branch 'master' into releases

.gitmodules

@@ -175,3 +175,6 @@
 [submodule "core/cygnus"]
 	path = core/cygnus
 	url = https://github.com/telefonicaid/fiware-cygnus
+[submodule "core/draco"]
+	path = core/draco
+	url = https://github.com/ging/fiware-draco

README.md

@@ -81,8 +81,8 @@ FIWARE platform structured in chapters.
 The Orion Context Broker Generic Enabler is the core and mandatory component of
 any _“Powered by FIWARE”_ platform or solution. It enables to manage context
 information in a highly decentralized and large-scale manner. It provides the
-FIWARE NGSIv2 API which is a simple yet powerful Restful API enabling to perform
-updates, queries or subscribe to changes on context information.
+FIWARE NGSI v2 API which is a simple yet powerful Restful API enabling to
+perform updates, queries or subscribe to changes on context information.
 
 -   The [Orion Context Broker](https://github.com/telefonicaid/fiware-orion/)
     Generic Enabler holds information about the current context. However,
@@ -92,19 +92,25 @@ updates, queries or subscribe to changes on context information.
 -   The [STH Comet](https://github.com/ging/fiware-sth-comet/) Generic Enabler
     brings the means for storing a short-term history of context data (typically
     months) on MongoDB
--   The [Cygnus](https://github.com/ging/fiware-cygnus/) Generic Enabler enables
-    a means of managing the history of context which is created as a stream of
-    data and can be injected into multiple data sinks, including many popular
-    databases such as PostgreSQL, MySQL, MongoDB or AWS DynamoDB or as Big Data
-    platforms such as Hadoop, Storm or Spark. The component is based on Apache
-    Flink
+-   The [Cygnus](https://github.com/ging/fiware-cygnus/) Generic Enabler is
+    enables a means of managing the history of context which is created as a
+    stream of data and can be injected into multiple data sinks, including many
+    popular databases such as PostgreSQL, MySQL, MongoDB or AWS DynamoDB or as
+    Big Data platforms such as Hadoop, Storm or Spark. The component is based on
+    Apache Flume
 
 The following is a list of Generic Enablers under incubation within this
 chapter:
 
 -   The [QuantumLeap](https://github.com/smartsdk/ngsi-timeseries-api/) Generic
-    Enabler supports the storage of FIWARE NGSIv2 data into a time series
-    database (CrateDB)
+    Enabler supports the storage of NGSI data into a time series database
+    (CrateDB)
+-   The [Draco](https://github.com/ging/fiware-draco) Generic Enabler is an
+    alternative data persistence mechanism for managing the history of context.
+    It is based on Apache NiFi and is a dataflow system based on the concepts of
+    flow-based programming. It supports powerful and scalable directed graphs of
+    data routing, transformation, and system mediation logic and also offers an
+    intuitive graphical interface
 
 ### Interface with IoT, Robots and Third-Party Systems
 
@@ -175,13 +181,13 @@ behaviour” expected in any application:
 -   The [Cosmos](https://github.com/ging/fiware-cosmos-orion-flink-connector)
     Generic Enabler enables a more easy Bigdata analysis over context integrated
     with most popular BigData platforms.
--   The [FogFlow](https://github.com/smartfog/fogflow) Generic Enabler is a
-    distributed execution framework to support dynamic processing flows over
-    cloud and edges.
 
 The following is a list of Generic Enablers under incubation within this
 chapter:
 
+-   The [FogFlow](https://github.com/smartfog/fogflow) Generic Enabler is a
+    distributed execution framework to support dynamic processing flows over
+    cloud and edges.
 -   The [Perseo](https://github.com/telefonicaid/perseo-core/) Generic Enabler
     introduces Complex Event Processing (CEP) defined using a rules-based
     system, enabling you to fire events which send HTTP requests, emails,

core/README.md

@@ -99,8 +99,8 @@ rated as follows:
 
 Cygnus is a connector in charge of persisting context data sources into other
 third-party databases and storage systems, creating a historical view of the
-context. Internally, Cygnus is based on Apache Flink,
-[Flink](https://flink.apache.org/) is a data flow system based on the concepts
+context. Internally, Cygnus is based on Apache Flume,
+[Flume](https://flume.apache.org/) is a data flow system based on the concepts
 of flow-based programming. It supports powerful and scalable directed graphs of
 data routing, transformation, and system mediation logic. It was built to
 automate the flow of data between systems. While the term 'dataflow' can be used
@@ -240,3 +240,47 @@ complex queries such as cross-entity queries (e.g. an average of averages)
 
 The **QuantumLeap** project is part of [FIWARE](https://fiware.org/) and will be
 rated as part of the next release.
+
+## :new: Draco (Incubated)
+
+[![](https://nexus.lab.fiware.org/repository/raw/public/badges/chapters/core.svg)](https://www.fiware.org/developers/catalogue/)
+![License](https://img.shields.io/github/license/ging/fiware-draco.svg)
+
+-   [Git Repository](https://github.com/ging/fiware-draco)
+-   [Docker Hub](https://hub.docker.com/r/ging/fiware-draco)
+-   [Documentation](https://fiware-draco.rtfd.io)
+
+### What is Draco?
+
+Draco is a connector in charge of persisting context data sources into other
+third-party databases and storage systems, creating a historical view of the
+context. Internally, Draco is based on Apache NiFi.
+[NiFi](https://nifi.apache.org) is a popular framework for data management and
+processing from multiple sources.
+
+Draco plays the role of a connector between the Orion Context Broker (which is
+an
+[NGSI](https://swagger.lab.fiware.org/?url=https://raw.githubusercontent.com/Fiware/specifications/master/OpenAPI/ngsiv2/ngsiv2-openapi.json)
+source of data) source of data) and a wide range of external systems such as
+MySQL, MongoDB etc. You can use Draco if you need to process and persist context
+data so that you can keep a historical record. Draco can also be used to filter
+and repost context data back into Orion.
+
+### Why Use Draco?
+
+Persisting historical context data is useful for big data analysis - it can be
+used to discover trends, or data can be sampled and aggregated to remove the
+influence of outlying data measurements. However within each Smart Solution, the
+significance of each entity type will differ and entities and attributes may
+need to be sampled at different rates.
+
+Since the business requirements for using context data differ from application
+to application, there is no one standard use case for historical data
+persistence. Therefore rather than overloading the context broker with the job
+of historical context data persistence, this role has been separated out into
+another enabler. Amongst the advantages of the component, Draco offers a
+flexible graphical interface so it is possible to amend your data flows
+according to your current business needs.
+
+The **Draco** project is part of [FIWARE](https://fiware.org/) and will be rated
+as part of the next release.

release.sh

@@ -44,6 +44,7 @@ displayUpdatedTags (){
 
 
 findRelease core/cygnus telefonicaid/fiware-cygnus 1.9.0
+findRelease core/draco ging/fiware-draco FIWARE_7.5
 findRelease core/orion telefonicaid/fiware-orion 2.0.0
 findRelease core/quantum-leap smartsdk/ngsi-timeseries-api 0.4
 findRelease core/sth-comet ging/fiware-sth-comet 2.3.0