From c175b6799345e08fee4cb74640a102208e0d886e Mon Sep 17 00:00:00 2001 From: Mary McCready <38858737+mamccrea@users.noreply.github.com> Date: Mon, 6 Jul 2020 21:39:03 -0700 Subject: [PATCH] Use absolute links in markdown (#94) --- README.md | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index d2db58c0..412a0334 100644 --- a/README.md +++ b/README.md @@ -102,7 +102,7 @@ End-to-end integration tests are configured to run. You can check the [latest cl At present time the available solutions are -### [Kafka on AKS + Azure Databricks + Cosmos DB](akskafka-databricks-cosmosdb) +### [Kafka on AKS + Azure Databricks + Cosmos DB](https://github.com/Azure-Samples/streaming-at-scale/tree/master/akskafka-databricks-cosmosdb) Implement a stream processing architecture using: @@ -110,7 +110,7 @@ Implement a stream processing architecture using: - Azure Databricks (Stream Process) - Cosmos DB (Serve) -### [Event Hubs Capture Sample](eventhubs-capture) +### [Event Hubs Capture Sample](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-capture) Implement stream processing architecture using: @@ -119,7 +119,7 @@ Implement stream processing architecture using: - Azure Blob Store (Data Lake) - Apache Drill (Query/Serve) -### [Event Hubs + Azure Databricks + Azure SQL](eventhubs-databricks-azuresql) +### [Event Hubs + Azure Databricks + Azure SQL](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-databricks-azuresql) Implement a stream processing architecture using: @@ -127,7 +127,7 @@ Implement a stream processing architecture using: - Azure Databricks (Stream Process) - Azure SQL (Serve) -### [Event Hubs + Azure Databricks + Cosmos DB](eventhubs-databricks-cosmosdb) +### [Event Hubs + Azure Databricks + Cosmos DB](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-databricks-cosmosdb) Implement a stream processing architecture using: @@ -135,7 +135,7 @@ Implement a stream processing architecture using: - Azure Databricks (Stream Process) - Cosmos DB (Serve) -### [Event Hubs Kafka + Azure Databricks + Cosmos DB](eventhubskafka-databricks-cosmosdb) +### [Event Hubs Kafka + Azure Databricks + Cosmos DB](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubskafka-databricks-cosmosdb) Implement a stream processing architecture using: @@ -143,7 +143,7 @@ Implement a stream processing architecture using: - Azure Databricks (Stream Process) - Cosmos DB (Serve) -### [Event Hubs + Azure Databricks + Delta](eventhubs-databricks-delta) +### [Event Hubs + Azure Databricks + Delta](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-databricks-delta) Implement a stream processing architecture using: @@ -151,7 +151,7 @@ Implement a stream processing architecture using: - Azure Databricks (Stream Process) - [Delta Tables](https://delta.io/) (Serve) -### [Event Hubs + Azure Functions + Azure SQL](eventhubs-functions-azuresql) +### [Event Hubs + Azure Functions + Azure SQL](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-functions-azuresql) Implement a stream processing architecture using: @@ -159,7 +159,7 @@ Implement a stream processing architecture using: - Azure Functions (Stream Process) - Azure SQL (Serve) -### [Event Hubs + Azure Functions + Cosmos DB](eventhubs-functions-cosmosdb) +### [Event Hubs + Azure Functions + Cosmos DB](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-functions-cosmosdb) Implement a stream processing architecture using: @@ -167,7 +167,7 @@ Implement a stream processing architecture using: - Azure Functions (Stream Process) - Cosmos DB (Serve) -### [Event Hubs + Stream Analytics + Cosmos DB](eventhubs-streamanalytics-cosmosdb) +### [Event Hubs + Stream Analytics + Cosmos DB](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-streamanalytics-cosmosdb) Implement a stream processing architecture using: @@ -175,7 +175,7 @@ Implement a stream processing architecture using: - Stream Analytics (Stream Process) - Cosmos DB (Serve) -### [Event Hubs + Stream Analytics + Azure SQL](eventhubs-streamanalytics-azuresql) +### [Event Hubs + Stream Analytics + Azure SQL](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-streamanalytics-azuresql) Implement a stream processing architecture using: @@ -183,7 +183,7 @@ Implement a stream processing architecture using: - Stream Analytics (Stream Process) - Azure SQL (Serve) -### [Event Hubs + Stream Analytics + Event Hubs](eventhubs-streamanalytics-eventhubs) +### [Event Hubs + Stream Analytics + Event Hubs](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-streamanalytics-eventhubs) Implement a stream processing architecture using: @@ -191,7 +191,7 @@ Implement a stream processing architecture using: - Stream Analytics (Stream Process) - Event Hubs (Serve) -### [HDInsight Kafka + Flink + HDInsight Kafka](hdinsightkafka-flink-hdinsightkafka) +### [HDInsight Kafka + Flink + HDInsight Kafka](https://github.com/Azure-Samples/streaming-at-scale/tree/master/hdinsightkafka-flink-hdinsightkafka) Implement a stream processing architecture using: @@ -199,7 +199,7 @@ Implement a stream processing architecture using: - Flink on HDInsight or Azure Kubernetes Service (Stream Process) - HDInsight Kafka (Serve) -### [Event Hubs Kafka + Flink + Event Hubs Kafka](eventhubskafka-flink-eventhubskafka) +### [Event Hubs Kafka + Flink + Event Hubs Kafka](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubskafka-flink-eventhubskafka) Implement a stream processing architecture using: @@ -207,7 +207,7 @@ Implement a stream processing architecture using: - Flink on HDInsight or Azure Kubernetes Service (Stream Process) - Event Hubs Kafka (Serve) -### [Event Hubs Kafka + Azure Functions + Cosmos DB](eventhubskafka-functions-cosmosdb) +### [Event Hubs Kafka + Azure Functions + Cosmos DB](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubskafka-functions-cosmosdb) Implement a stream processing architecture using: @@ -215,7 +215,7 @@ Implement a stream processing architecture using: - Azure Functions (Stream Process) - Cosmos DB (Serve) -### [HDInsight Kafka + Azure Databricks + Azure SQL](hdinsightkafka-databricks-sqldw) +### [HDInsight Kafka + Azure Databricks + Azure SQL](https://github.com/Azure-Samples/streaming-at-scale/tree/master/hdinsightkafka-databricks-sqldw) Implement a stream processing architecture using: @@ -223,14 +223,14 @@ Implement a stream processing architecture using: - Azure Databricks (Stream Process) - Azure SQL Data Warehouse (Serve) -### [Event Hubs + Azure Data Explorer](eventhubs-dataexplorer) +### [Event Hubs + Azure Data Explorer](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-dataexplorer) Implement a stream processing architecture using: - Event Hubs (Ingest / Immutable Log) - Azure Data Explorer (Stream Process / Serve) -### [Event Hubs + Data Accelerator + Cosmos DB](eventhubs-dataaccelerator-cosmosdb) +### [Event Hubs + Data Accelerator + Cosmos DB](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-dataaccelerator-cosmosdb) Implement a stream processing architecture using: @@ -238,7 +238,7 @@ Implement a stream processing architecture using: - Microsoft Data Accelerator on HDInsight and Service Fabric (Stream Process) - Cosmos DB (Serve) -### [Event Hubs + Time Series Insights](eventhubs-timeseriesinsights) +### [Event Hubs + Time Series Insights](https://github.com/Azure-Samples/streaming-at-scale/tree/master/eventhubs-timeseriesinsights) Implement a stream processing architecture using: