JarCasting
JarCasting JarCasting

Access Services Samples

Samples showing how to call the Open Metadata Access Services (OMASs) clients.

License

License
GroupId

GroupId

org.odpi.egeria
ArtifactId

ArtifactId

access-services-samples
Last Version

Last Version

3.9
Release Date

Release Date
Type

Type

pom
Description

Description

Access Services Samples
Samples showing how to call the Open Metadata Access Services (OMASs) clients.
Project Organization

Project Organization

LF AI & Data Foundation
Source Code Management

Source Code Management

http://github.com/odpi/egeria/tree/master

Download access-services-samples

Filename Size
access-services-samples-3.9.pom 1 KB
Browse

How to add to project

<!-- https://jarcasting.com/artifacts/org.odpi.egeria/access-services-samples/ -->
<dependency>
    <groupId>org.odpi.egeria</groupId>
    <artifactId>access-services-samples</artifactId>
    <version>3.9</version>
    <type>pom</type>
</dependency>
// https://jarcasting.com/artifacts/org.odpi.egeria/access-services-samples/
implementation 'org.odpi.egeria:access-services-samples:3.9'
// https://jarcasting.com/artifacts/org.odpi.egeria/access-services-samples/
implementation ("org.odpi.egeria:access-services-samples:3.9")
'org.odpi.egeria:access-services-samples:pom:3.9'
<dependency org="org.odpi.egeria" name="access-services-samples" rev="3.9">
  <artifact name="access-services-samples" type="pom" />
</dependency>
@Grapes(
@Grab(group='org.odpi.egeria', module='access-services-samples', version='3.9')
)
libraryDependencies += "org.odpi.egeria" % "access-services-samples" % "3.9"
[org.odpi.egeria/access-services-samples "3.9"]

Dependencies

There are no dependencies for this project. It is a standalone project that does not depend on any other jars.

Project Modules

  • asset-management-samples
  • governance-program-client-samples
  • subject-area-client-samples
org.odpi.egeria

LF AI & Data (was ODPi: the open ecosystem of big data)

LF AI & Data is an umbrella foundation,artificial intelligence, machine learning, deep learning, and data.

Versions

Version
3.9
3.8
3.7
3.6
3.5
3.4
3.3
3.2
3.1
3.0
2.11
2.10
2.9
2.8
2.7
2.6
2.5
2.4
2.3
2.2
2.1
2.0
1.8
1.7
1.6
1.5
1.4
1.3
1.2
1.1
1.0
0.2
0.1