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Data Warehouse

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Storage

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Data Sources

  • Overview and Creating Data Source
  • Ingestion Mode
  • How Sprinkle handles the ingestion if there is a change in schema in the client DB?
  • Flattening JSON columns in DB
  • Column excluding and masking in DB table
  • Ingestion via SSH Tunnel
  • Configurable Destination Schema and table name
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CDC Setup

  • MySQL
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Transform

  • Schema Browser
  • Overview and Creating Flow
  • Advanced Features in Flow

KPI

    Models

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    Segments

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    Metric Alerts

    • Overview and Creating Metric Alerts

Dashboards

  • Overview and Creating Dashboard
  • Embed Dashboard
  • Restricting filters
  • Sharing resources

Drill Down

  • Drill Down Feature In Segments And Dashboards
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  • Drill Down Expression Hierarchical Dimensions

Explores

  • Overview and Creating Explore
  • Show Labels Annotations on Charts
  • Tooltips

Machine Learning

  • Jupyter
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Sharing

  • Sharing Segments and Explore Reports
  • Share folders with users or groups

Scheduling

  • Schedule Timeline
  • Autorun

Notifications

  • Email Notifications
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View Activity

  • View Activity

Admin

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Launch On Cloud

  • AWS
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  • Setup Sprinkle

Security

  • Security at Sprinkle
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Feedback

  • Option to take feedback from UI

Release Notes

  • Release Notes

Google Analytics MCF

Google Analytics Multi-Channel Funnel reports the source of traffic. MCF helps users identify the user interactions from various traffic sources and also the number of sessions prior to converting.

Sprinkle now supports Google Analytics MCF as a data source. On clicking the "+sign" a list of data sources appears. In this case, Google Analytics MCF is selected. A new Google Analytics

MCF data source is named and created.

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To create a connection, the user needs to click on "Connect to Google" which leads to a sign in page. Next, the users need to sign in to their analytics MCF account.

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Post login, users will be prompted to allow permissions required for sprinkle to read data further. Once a user provides consent by clicking on ‘Allow’, the connection can be created from Sprinkle.

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Next, in the datasets tab, users need to name the table and select the “Account Id”from which the data needs to be ingested.

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Once the Account Id is selected, the user needs to select the Project or the View ID.

In the Analytics tracking code, the property for a reporting view has a unique ID, which is a combination of the account ID and additional digits. This property ID links a property to one or more views in an Analytics account.

Next, the user needs to select the “Metrics” and “Dimensions”. Please note that a maximum of 10 Metrics can be selected and a maximum of 7 Dimensions can be selected. Lastly, the user needs to select the date from when he wants to ingest the data. The date needs to be selected in the YYYY-MM-DD format.

After selecting the date, the user needs to click on “Create”. From the second ingestion job onwards, all data will be ingested on a incremental basis, i.e. from the point the last job was completed.

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In the Ingestion Jobs tab, the concurrency (number of tables that can run in parallel, a maximum of 7) can be set preferentially before running the job. The status of the job will be updated in the tab below once it’s complete. The jobs can also be set to run automatically by enabling autorun. Frequency can be changed by clicking on More --> Autorun-->Change Frequency.

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