From 3944bf93c87b3d3d84a99d8b8db597db44dc7532 Mon Sep 17 00:00:00 2001 From: Bharath Sankaranarayan Date: Wed, 27 Feb 2019 14:48:38 -0800 Subject: [PATCH 1/3] Update README.md --- .../sql-big-data-cluster/app-deploy/mleap/README.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/samples/features/sql-big-data-cluster/app-deploy/mleap/README.md b/samples/features/sql-big-data-cluster/app-deploy/mleap/README.md index f07f3192..538f3f68 100644 --- a/samples/features/sql-big-data-cluster/app-deploy/mleap/README.md +++ b/samples/features/sql-big-data-cluster/app-deploy/mleap/README.md @@ -1,9 +1,9 @@ # How to deploy an MLeap app -This sample assumes you are familar with MLeap. MLeap is a model serialization format available to Spark users. You can read about this [here](http://mleap-docs.combust.ml/). When you build a model in Spark, typically for training and need score this outside of Spark environment you can serialize the model as an MLeap bundle and score this outside of Spark. This allows model portability. This example will demonstrate how a trained model serialized as MLeap bundle can be deployed as a RESTful webservice with a single line of code in SQL Server BDC 2019 and use as sample input in leap frame format to test it. +This sample assumes you are familar with MLeap. MLeap provides simple interfaces to execute entire ML pipelines. You can get additional information about MLeap [here](http://mleap-docs.combust.ml/). When you build a model in Spark, typically for training and need score this outside of Spark environment you can serialize the model as an MLeap bundle and score this outside of Spark. This allows model portability. This example will demonstrate how a trained model serialized as MLeap bundle can be deployed as a RESTful webservice with a single line of code in SQL Server BDC 2019 and use as sample input in leap frame format to test it. -# Prerequisites +# Pre-requisites SQL Server Big Data Cluster - CTP 2.3 or later Clone or download this sample on your computer to a folder called mleap (note if you have downloaded it to a different folder then you'l have to modify the folder location appropriately in the sample below) @@ -50,3 +50,7 @@ Note that the input paramter has a special character '@' to indicate that a json > mssqlctl app run --name mleap --version v1 --inputs mleap-frame=@frame.json ``` The result will be a json output that includes the prediction along with additional data. + +# Next Steps +You can learn how to train your model in Spark within SQL Server BDC and export to MLeap [here] https://docs.microsoft.com/en-us/sql/big-data-cluster/train-and-create-machinelearning-models-with-spark?view=sqlallproducts-allversions + From 6500ffd71bb0ad9861a7a67ec11d69c64e71af11 Mon Sep 17 00:00:00 2001 From: Bharath Sankaranarayan Date: Wed, 27 Feb 2019 14:50:49 -0800 Subject: [PATCH 2/3] Update README.md --- .../features/sql-big-data-cluster/app-deploy/mleap/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/samples/features/sql-big-data-cluster/app-deploy/mleap/README.md b/samples/features/sql-big-data-cluster/app-deploy/mleap/README.md index 538f3f68..653361a1 100644 --- a/samples/features/sql-big-data-cluster/app-deploy/mleap/README.md +++ b/samples/features/sql-big-data-cluster/app-deploy/mleap/README.md @@ -52,5 +52,5 @@ Note that the input paramter has a special character '@' to indicate that a json The result will be a json output that includes the prediction along with additional data. # Next Steps -You can learn how to train your model in Spark within SQL Server BDC and export to MLeap [here] https://docs.microsoft.com/en-us/sql/big-data-cluster/train-and-create-machinelearning-models-with-spark?view=sqlallproducts-allversions +You can learn how to train your model in Spark within SQL Server BDC and export to MLeap [here] (https://docs.microsoft.com/en-us/sql/big-data-cluster/train-and-create-machinelearning-models-with-spark?view=sqlallproducts-allversions) From f585f72408c63632d77e778466e7524e3b3ff28c Mon Sep 17 00:00:00 2001 From: Bharath Sankaranarayan Date: Wed, 27 Feb 2019 14:52:05 -0800 Subject: [PATCH 3/3] Update README.md --- .../features/sql-big-data-cluster/app-deploy/SSIS/README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/samples/features/sql-big-data-cluster/app-deploy/SSIS/README.md b/samples/features/sql-big-data-cluster/app-deploy/SSIS/README.md index 48cfaf5f..162ac6f6 100644 --- a/samples/features/sql-big-data-cluster/app-deploy/SSIS/README.md +++ b/samples/features/sql-big-data-cluster/app-deploy/SSIS/README.md @@ -1,4 +1,5 @@ -## About +## How to use the SSIS runtime in SQL Server Big Data Cluster + This is a sample SSIS app, which is a cronjob backing up the `DWConfiguration` database on the Master SQL Instance on disk every minute. Refer to [installing mssqlctl](https://docs.microsoft.com/en-us/sql/big-data-cluster/deploy-install-mssqlctl?view=sqlallproducts-allversions) document on setting up the mssqlctl and connecting to a Aris cluster.