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Getting Started 🚀
What is DataLakeHouse.io?
Our Business-Value Focus
Learn the Basic Concepts
Connectors
Operations Applications
Google Sheets
Aloha POS
Bill.com
Ceridian Dayforce
DoorDash for Work
Facebook Ads
Google Analytics 4
Harvest
Hubspot
Jira
McLeod Transportation
NetSuite (Oracle NetSuite)
Optimum HRIS
QuickBooks Online
Salesforce
Shopify
Square
Square Marketplace
Stripe
Workday HCM
Xero
Databases
SQL Transformations
Terraform: Reverse Terraforming
DBT Cloud Transformations
Sync Bridge (Data Pipelines)
Create a Sync Bridge
Deleting a Sync Bridge
Analytics
Access Analytics
FAQ (about syncing data)
How are new columns are added to the target Data Warehouse?
....
Data Catalog
Create the Catalog
Populate the Catalog
Access the Catalog
Data Warehousing
Snowflake
Open Source DW Models
Alerts & Notifications
Integrations (Slack, etc.)
Logs & Monitoring
Security
Release Notes
April 2022
July 2022
Community Overview
Contributor Agreements
Code Contribution Guide
About
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1min

Analytics

DataLakeHouse.io Analytics provide users with out-of-the-box insights and predictions that come straight from the data. Your Analytics are updated based on the frequency you choose to synchronize your data. Each Analytics package has been carefully created with data models and transformations to monitor metrics specific to the source systems. Analytics packages can be customized and combined with other Analytics packages for users on our Business Critical plan to give them a holistic view of the business.

Updated 30 Nov 2022
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