diff --git a/README.md b/README.md index 9e896ba..942795c 100644 --- a/README.md +++ b/README.md @@ -159,7 +159,7 @@ The PNDA distribution consists of the following source code repositories and sub * [hdfs-cleaner](http://github.com/pndaproject/platform-data-mgmnt/tree/master/hdfs-cleaner): cron job to clean up HDFS data * [oozie-templates](http://github.com/pndaproject/platform-data-mgmnt/tree/master/oozie-templates): templates that archive or delete data * [platform-package-repository](http://github.com/pndaproject/platform-package-repository): manages a simple package repository backed by OpenStack Swift - * [gobblin](http://github.com/pndaproject/gobblin): customized fork of the Gobblin data ingest framework + * [gobblin](https://github.com/pndaproject/platform-gobblin-modules): customized fork of the Gobblin data ingest framework ### Producers diff --git a/console/datasets.md b/console/datasets.md index 48516c8..2a4da45 100644 --- a/console/datasets.md +++ b/console/datasets.md @@ -22,7 +22,7 @@ After you have made changes, click the Save button to review and confirm the cha ## Creating datasets -Datasets are automatically created based on the name of the `source` field in Kafka messages by [gobblin](https://github.com/pndaproject/gobblin). See the [getting started](../gettingstarted/README.md#producer-integration) for more information on how datasets are created. +Datasets are automatically created based on the name of the `source` field in Kafka messages by [gobblin](https://github.com/pndaproject/platform-gobblin-modules). See the [getting started](../gettingstarted/README.md#producer-integration) for more information on how datasets are created. ## Dataset Compaction diff --git a/gettingstarted/README.md b/gettingstarted/README.md index b46b6c4..31104e5 100644 --- a/gettingstarted/README.md +++ b/gettingstarted/README.md @@ -37,7 +37,7 @@ For the purposes of this guide, we'll use the test data source for the example [ 3. Install and configure [Logstash](https://github.com/elastic/logstash) on the chosen host then install the following [plugin](../producer/logstash.md). 4. Run the test data script. In the `data-source` directory of the [example-spark-streaming](https://github.com/pndaproject/example-applications/tree/master/spark-streaming) repository, there is a python script that can send a stream of data over TCP into logstash. 5. In the [console](../console/README.md), verify that data is flowing into the topics. In the left-hand column, you should see activity on your Kafka topic. -6. After a period of time (up to 30 minutes), the master dataset will be automatically created by [gobblin](https://github.com/pndaproject/gobblin), and you will be able to see it in the [Datasets](../console/datasets.md) page in the console. +6. After a period of time (up to 30 minutes), the master dataset will be automatically created by [gobblin](https://github.com/pndaproject/platform-gobblin-modules), and you will be able to see it in the [Datasets](../console/datasets.md) page in the console. ## Packages and applications diff --git a/repos/README.md b/repos/README.md index 0888b03..fac2ddf 100644 --- a/repos/README.md +++ b/repos/README.md @@ -29,7 +29,7 @@ It consists of the following source code repositories and sub-projects: * [hdfs-cleaner](http://github.com/pndaproject/platform-data-mgmnt/tree/master/hdfs-cleaner): cron job to clean up HDFS data * [oozie-templates](http://github.com/pndaproject/platform-data-mgmnt/tree/master/oozie-templates): templates that archive or delete data * [platform-package-repository](http://github.com/pndaproject/platform-package-repository): manages a simple package repository backed by OpenStack Swift - * [gobblin](http://github.com/pndaproject/gobblin): customized fork of the Gobblin data ingest framework + * [gobblin](https://github.com/pndaproject/platform-gobblin-modules): customized fork of the Gobblin data ingest framework ### Producers