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add external attribute
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natashadsilva committed Jun 18, 2018
1 parent 955119c commit ff0af4d
Showing 1 changed file with 5 additions and 5 deletions.
10 changes: 5 additions & 5 deletions extSamples.json
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{ "name": "Get started with JMS operators",
"description":"Learn how to configure the operators for use with Apache activeMQ and Websphere MQ. Includes sample connection documents.",
"language": ["SPL"],
"category": ["2","1"],
"category": ["2","1"], "external": true,
"blogPost": "https://developer.ibm.com/streamsdev/2016/04/18/getting-started-with-jms-operators/",
"url": "http://ibmstreams.github.io/streamsx.documentation/docs/4.2/messaging/jms-operators-getting-started/",
"tags": ["messaging","mq","jmssource","jmssink"]
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{ "name": "Create Websphere MQ binding file and queue",
"description":"This article has sample steps to create the Websphere MQ binding file to use with the JMS operators.",
"language": ["SPL"],
"category": ["2","1"],
"category": ["2","1"], "external": true,
"blogPost": "https://developer.ibm.com/streamsdev/2016/04/18/getting-started-with-jms-operators/",
"url": "http://ibmstreams.github.io/streamsx.documentation/docs/4.2/messaging/mq-create-objects-bindings-sample/",
"tags": ["messaging","mq object","jmssource","jmssink"]
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{ "name": "Use Message Hub operator with Streams Designer",
"description":"Notebook demonstrating how to configure the Message Hub operator in Streams Designer. Builds on the Data Historian example and sends sample data to Message Hub.",
"language": ["Python"],
"category": ["2","1"],
"category": ["2","1"], "external": true,
"blogPost": "https://developer.ibm.com/streamsdev/videos/demo-streaming-analytics-using-python-ibm-data-science-experience/",
"url": "https://dataplatform.ibm.com/exchange/public/entry/view/a87f10c5c5cd65495a2f9d880af72d7a",
"tags": ["messagehub"],
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{ "name": "Use Streaming Analytics to detect malfunctioning weather stations",
"description":"Streams Python notebook demonstrating how to ingest data from IoT devices and analyze it to detect anomalies. The Streams application runs in the IBM Cloud and connects to an Edgent application through the Watson IoT platform.",
"language": ["Python"],
"category": ["2","1","7"],
"category": ["2","1","7"], "external": true,
"blogPost": "https://developer.ibm.com/streamsdev/videos/demo-streaming-analytics-using-python-ibm-data-science-experience/",
"url": "https://dataplatform.ibm.com/exchange/public/entry/view/ec0aa15c6ab928b9b43ac0109d4395f1",
"tags": ["data science", "iot", "watson iot","edgent","cloud","send commands", "topology","read event","raspberry pi","edge device","send data"],
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{ "name": "Process IoT data from Edgent in a DSX Python notebook",
"description":"Python notebook that creates a Streams application in the IBM Cloud to process data from an Edgent application. It also demonstrates how to send commands to the Edgent application.",
"language": ["Python"],
"category": ["2","1"],
"category": ["2","1"], "external": true,
"blogPost": "https://developer.ibm.com/recipes/tutorials/connect-apache-edgent-to-the-streaming-analytics-service-using-the-watson-iot-platform/",
"url": "https://dataplatform.ibm.com/exchange/public/entry/view/ec0aa15c6ab928b9b43ac0109d9b6a73",
"tags": ["data science", "iot", "watson iot","ibm cloud","cloud","send commands", "topology","read event","raspberry pi","edge device","send data", "streaming analytics"],
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