Intro
Azure Data Lake Store is an enterprise-wide hyper-scale repository for big data analytic workloads. Use this connector to pull data files from your Data Lake Store into Domo. You can retrieve data files in any of the following file types: CSV, XLS, XLSX, and JSON. For more information about Azure’s API, see Azure Data Lake Store documentation. You connect to your Microsoft Azure Data Lake Store account in the Data Center. This article discusses the fields and menus that are specific to the Microsoft Azure Data Lake Store connector user interface. General information for adding DataSets, setting update schedules, and editing DataSet information is discussed in Adding a DataSet Using a Data Connector.Prerequisites
To connect to your Microsoft Azure Data Lake Store account and create a DataSet, you must have the following:- Your Microsoft Azure Data Lake Store tenant ID
- Your Microsoft Azure Data Lake Store client ID
- Your Microsoft Azure Data Lake Store client secret
Connect to Your Microsoft Azure Data Lake Store Account
This section enumerates the options in the Credentials and Details panes in the Microsoft Azure Data Lake Store Connector page. The components of the other panes in this page, Scheduling and Name & Describe Your DataSet, are universal across most connector types and are discussed in greater length in Adding a DataSet Using a Data Connector.Credentials Pane
This pane contains fields for entering credentials to connect to your Microsoft Azure Data Lake Store account. The following table describes what is needed for each field:
Once you have entered valid Microsoft Azure Data Lake Store credentials, you can use the same account any time you go to create a new Microsoft Azure Data Lake Store DataSet. You can manage connector accounts in the Accounts tab in the Data Center. For more information about this tab, see Managing User Accounts for Connectors.