cortana-intelligence

Is it possible to use Azure Data Factory to get data from a REST API and insert it to a Azure database table? Data factory now has a http connector , allowing you to do GET or POST (with a body) to a http endpoint. For example: { "name": "HttpLinkedService", "properties": { "type": "Http", "typeProperties": { "authenticationType": "Anonymous", "url" : "https://en.wikipedia.org/wiki/" } } } I have done this using Custom .Net Activities. I had a need to pull data from Salesforce API. I have a write up on how to do this here: http://eatcodelive.com/2016/02/06/accessing-azure-data-lake-store-from

As the title says, can you have more than one query in an Azure Streaming Analytics job? If so, how should that be structured? Vignesh Chandramohan yes, you can have multiple queries in stream analytics job. You would do something like below select * into type1Output from inputSource where type = 1 select * into type2Output from inputSource where type = 2 The job has two outputs defined, called type1Output and type2Output. Each query writes to a different output. 来源： https://stackoverflow.com/questions/36287058/can-one-have-multiple-queries-in-streaming-analytics-job

Azure ML Experiments provide ways to read and write CSV files to Azure blob storage through the Reader and Writer modules. However, I need to write a JSON file to blob storage. Since there is no module to do so, I'm trying to do so from within an Execute Python Script module. # Import the necessary items from azure.storage.blob import BlobService def azureml_main(dataframe1 = None, dataframe2 = None): account_name = 'mystorageaccount' account_key='mykeyhere==' json_string='{jsonstring here}' blob_service = BlobService(account_name, account_key) blob_service.put_block_blob_from_text("upload",