Hands on Labs Global Azure Bootcamp 2017
Vianen, April 22, 2017
For this hands-on-lab bootcamp three parts of CIS are beeing used and connected:
See the prerequisites document for the full list.
Lab 1 - Ingest
When connection data from the Event Hub to Azure Stream Analytics (ASA) it is possible to process that data stream directly and 'query' to either determine outliers of to reroute the data stream.
Lab 2 - Store and prepare
The rerouted data from Azure Stream Analytics (ASA) can be stored at an Azure Data Lake Store (ADLS) directly in a folder.
After storing the raw data, it is possible to extract information from it by utilizing Azure Data Lake Analytics (ADLA). With U-SQL it is possible to read individual files (JSON) and extract information within one query.
Lab 3 - Learning
The result of lab 2 will be used to start learning from the data. By using Azure Machine Learning (AzureML) it is possible to create a ML model that identifies incorrect events and even faulty sensors.
Extra - Close the loop
It is possible to connect an AzureML model to an Azure Stream Analytics Job and use the outcome of that model to predict the incoming events.