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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
  • Zendesk Chat
  • Google Search Console
  • Shopify
  • Facebook Ads
  • Mailchimp
  • 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

Comma Separated Values (CSV)

A Comma Separated Values (CSV) file is a plain text file that contains a list of data. These files are often used for exchanging data between different applications. For example, databases and contact managers often support CSV files. Excel files can also be used.

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

The name of the table should be provided before uploading the CSV file for easy identification. The user can also update the existing CSV file.

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