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›Data Sources

Data Warehouse

  • Why the warehouse?
  • Amazon Athena
  • Apache Hive
  • Databricks
  • BigQuery
  • Snowflake
  • Redshift

Storage

  • Why the storage?
  • AWS S3 Bucket
  • Google Cloud Storage
  • Azure Blob Storage

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
  • PostgreSQL
  • Salesforce
  • MySQL
  • MongoDB
  • Mixpanel
  • Hubspot
  • CosmosDB
  • CSV
  • AppsFlyer
  • CleverTap
  • SQL
  • Kafka
  • Amazon Kinesis
  • Azure Event Hub
  • Azure Table Storage
  • Zoho CRM
  • Freshsales
  • Google Analytics
  • GoogleSheet
  • Google Cloud Storage
  • Azure Blob
  • S3
  • Webhook
  • Sendgrid
  • Segment
  • Google Ads
  • Google Analytics MCF
  • Zendesk Support
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  • Google Search Console
  • Shopify
  • Facebook Ads
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  • WebURL
  • Klaviyo
  • SAP S4
  • Intercom
  • Marketo
  • Freshdesk
  • Leadsquared
  • Bigquery
  • MongoDB Atlas
  • Paytm
  • HDFS
  • FTPS
  • FTP

CDC Setup

  • MySQL
  • Postgres
  • Mongo

Transform

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

KPI

    Models

    • Overview
    • Creating Model
    • Joins
    • Hierarchical Filters
    • Default Date Filters
    • Column Description in reports

    Segments

    • Overview
    • Creating Segment
    • Publish segment as table
    • Transpose
    • Show Labels Annotations on Charts
    • Tooltips
    • Fixed Columns
    • Conditional Builders
    • Cumulative Sum and Percentages
    • Embed Segment

    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
  • Drill Down Hierarchical Dimensions
  • Drill Down Expression Hierarchical Dimensions

Explores

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

Machine Learning

  • Jupyter
  • Notebook Setup Guide

Sharing

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

Scheduling

  • Schedule Timeline
  • Autorun

Notifications

  • Email Notifications
  • Slack Notifications

View Activity

  • View Activity

Admin

  • Admin -> usage
  • User Permissions & Restrictions
  • Github Integration

Launch On Cloud

  • AWS
  • Azure
  • Setup Sprinkle

Security

  • Security at Sprinkle
  • GDPR

Feedback

  • Option to take feedback from UI

Release Notes

  • Release Notes

GoogleSheet

Google Sheet is basically a spreadsheet program. This allows users to create and edit files online while collaborating with other users in real-time. These edits are tracked by the user with a revision history presenting changes.

Sprinkle supports a wide range of data sources. On clicking the “+sign”, a list of data sources pops up. In this case, Google Sheet is selected. A new Google Sheet data source is named and created.

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To create a connection, the user needs to click on the “Connect to GOOGLE” button which pops up a Google login page.

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

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In the Datasets tab, the user needs to select the Spreadsheet ID and then the tab from the particular sheet he intends to ingest. Please note that users can ingest only one tab at a time. On selecting the tab, a default table name is created. However, users can rename the table as per their requirements. Next, the user can click on “Create”.

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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. By default, the frequency is set to every night. Frequency can be changed by clicking on More --> Autorun-->Change Frequency.

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