Send data to Microsoft Power BI

Microsoft Power BI is a collection of software services, applications, and connectors that work together to turn unrelated sources of data into coherent, visually immersive, and interactive insights.

Important

Data is not sent from Amperity directly to Microsoft Power BI. Microsoft Power BI must connect to a location that supports queries to that data and cannot connect directly to a static file. Amperity must send data to Microsoft Power BI indirectly by configuring a destination to:

  1. Send data directly to Business Intelligence Connect.

  2. Send a CSV file to an Azure container, after which it is picked up by Azure Synapse Analytics.

  3. Send a CSV file to Google Cloud Storage, after which it is transferred to Google BigQuery

  4. Send data directly to a Snowflake data warehouse.

Microsoft Power BI may be configured to connect directly to Snowflake, Google BigQuery, or Azure Synapse Analytics. The destination workflow in Amperity may be configured to send data on a regular basis to ensure that the data available to the Microsoft Power BI user is up to date.

Connect to Azure Synapse Analytics

Azure Synapse Analytics is a limitless analytics service that brings together enterprise data warehousing and analytics. Azure Synapse Analytics has four components: SQL analytics, Apache Spark, hybrid data integration, and a unified user experience.

Amperity can be configured to send data to an Azure container, after which Azure Synapse Analytics can be configured to load that data. Microsoft Power BI can be configured to connect to Azure Synapse Analytics and use the Amperity output as a data source.

You may use the Azure Blob Storage container that comes with your Amperity tenant for the intermediate step (if your Amperity tenant is running on Azure). Or you may configure Amperity to send data to an Azure container that your organization manages directly.

To connect Microsoft Power BI to Azure Synapse Analytics

The steps required to configure Amperity to send data that is accessible to Microsoft Power BI from Azure Synapse Analytics requires completion of a series of short workflows, some of which must be done outside of Amperity.

  1. Send CSV data to an Azure Blob Storage container from Amperity.

  2. Load CSV data from Azure Blob Storage to Azure Synapse Analytics.

  3. Connect Microsoft Power BI to an Azure Synapse Analytics workspac, and then access the data sent from Amperity.

  4. Validate the workflow within Amperity and the data within Microsoft Power BI.

  5. Configure Amperity to automate this workflow for a regular (daily) refresh of data.

Connect to Business Intelligence Connect

Business Intelligence Connect is an Amperity-managed cloud data warehouse that provides an easy-to-access location from which you can use any BI tool to access all of your Amperity data.

  1. Request to enable the Business Intelligence Connect data warehouse

  2. Send data to the data warehouse

  3. Log in to the data warehouse

  4. Connect Microsoft PowerBI

Connect to Google BigQuery

Google BigQuery is a fully-managed data warehouse that provides scalable, cost-effective, serverless software that can perform fast analysis over petabytes of data and querying using ANSI SQL.

Amperity can be configured to send data to Google Cloud Storage, after which Google BigQuery can be configured to load that data. Power BI can be configured to connect to Google BigQuery and use the Amperity output as a data source.

You must configure Amperity to send data to a Cloud Storage bucket that your organization manages directly.

To connect Power BI to Google BigQuery

The steps required to configure Amperity to send data that is accessible to Power BI from Google BigQuery requires completion of a series of short workflows, some of which must be done outside of Amperity.

  1. Send CSV data to Google Cloud Storage from Amperity.

  2. Transfer data from Cloud Storage to Google BigQuery.

  3. Connect Microsoft Power BI to Google BigQuery , and then access the data sent from Amperity.

  4. Validate the workflow within Amperity and the data within Microsoft Power BI.

  5. Configure Amperity to automate this workflow for a regular (daily) refresh of data.

Connect to Snowflake

Snowflake is an analytic data warehouse that is fast, easy to use, and flexible. Snowflake uses a SQL database engine that is designed for the cloud. Snowflake can provide tables as a data source to Amperity.

Amperity can be configured to share data (tables and/or entire databases) directly with Snowflake. Microsoft Power BI can be configured to connect to a Snowflake data warehouse and use that data as a data source.

Amperity offers additional services that allow Amperity to run as the Amperity Data Warehouse, which is synchronized to your Amperity tenant. (This is, currently, run as a Snowflake data warehouse that is accessible to only your Amperity tenant.) Microsoft Power BI is configured to connect directly to the Amperity Data Warehouse. Or you may send data directly to Snowflake by configuring the Snowflake destination to send data to your Snowflake tenant.

To connect Microsoft Power BI to Snowflake

The steps required to configure Amperity to send data that is accessible to Microsoft Power BI from a Snowflake data warehouse requires completion of a series of short workflows, some of which must be done outside of Amperity.

  1. Configure Snowflake objects for the correct database, tables, roles, and users. (Refer to the Amazon S3 or Azure tutorial, as appropriate for your tenant.)

  2. Send data to Snowflake from Amperity. (Refer to the Amazon S3 or Azure tutorial, as appropriate for your tenant.)

  3. Connect Microsoft Power BI to Snowflake, and then access the data sent from Amperity. This connection may be from the Power BI Desktop or from the Power BI Service .

    Note

    The URL for the Snowflake data warehouse, the Snowflake username, the password, and the name of the Snowflake data warehouse are sent to the Microsoft Power BI user within a SnapPass link. Request this information from your Amperity representative prior to attempting to connect Microsoft Power BI to Snowflake.

  4. Validate the workflow within Amperity and the data within Microsoft Power BI.

  5. Configure Amperity to automate this workflow for a regular (daily) refresh of data.

Note

Snowflake can be configured to run in Amazon AWS or Azure. When using the Amazon Data Warehouse you will use the same cloud platform as your Amperity tenant. When using your own instance of Snowflake, you should use the same Amazon S3 bucket or Azure Blob Storage container that is included with your tenant when configuring Snowflake for data sharing, but then connect Microsoft Power BI directly to your own instance of Snowflake.