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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

Data sources

Overview

Combine all of your data into a single platform for powerful analysis and insights through sprinkle ecosystem of ETL integrations. You can ingest data from multiple sources and create a data source. Sprinkle provides a consolidated view of your data from multiple data sources.

Creating Data source

Click on Manage Data and go to data sources. The page lists all the data sources that have been created by you and other team members.

     Creating data source     

To create new data source click on new. Select type of source. As you can ingest data from CSV file, Date Base, Kafka, Mongo DB, Elastic Search, Azure Table, Mix Panel, Gremlin, Leadsquared, Freshdesk etc.

     Select data source     

To ingest data from csv file just upload the file from your machine. But, for the rest of the sources you need to setup a connection and then you can add the tables to the data source from respective sources.

    

← Azure Blob StorageIngestion Mode →
  • Overview
  • Creating Data source

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