Data Warehouse and Data Mart: Recommendations & Uses

Data Warehouse and Data Mart – Recommendations & Uses

A data warehouse is used for reporting and data analysis, and is considered a core component of business intelligence. Data warehouses are central repositories of integrated data from one or more disparate sources. It eases the analysis and reporting processes of an organization and helps the business make better decisions with clearer forecasts.

A data mart is a subset of the data warehouse and is usually oriented to a specific business line or department. Whereas data warehouses have an enterprise-wide depth, data marts are small in size and flexible.

Data warehouse and data mart architecture
Data warehouse and data mart architecture

When do we use a data warehouse?

Is your organization data-driven and you need to collect data from different sources? That’s when you need a data warehouse as a central repository to store your organization’s relevant data.

When do we use a data mart?

If you need to collect data from only a few sources and are focusing on a single department within an organization, you need a data mart.

Data warehouse versus data mart

Both data warehouses and data marts are used to store data. The main difference between them is that data warehouses are data-oriented in nature and used for purposes of wider scope. Data marts are project-oriented in nature and used in situations of limited scope.

Data warehouse and data mart integrations supported in Bold BI

  • Amazon Aurora
  • Amazon Redshift (live connection)
  • Azure Synapse Analytics (formerly Azure SQL Data Warehouse) (live connection)
  • Google BigQuery (live connection)
  • Google Cloud
  • MariaDB
  • MemSQL
  • Microsoft SQL Server
  • MongoDB
  • MySQL
  • Oracle
  • PostgreSQL
  • Presto (live connection)
  • Snowflake (live connection)

Recommended Data Warehouse/Data Mart solution for Bold BI

ETL toolSyncfusion Data Integration PlatformMicrosoft Azure Data Factory
Data WarehouseMicrosoft SQL ServerAzure Synapse Analytics (formerly Azure SQL Data Warehouse)
Data MartMicrosoft SQL ServerAzure SQL Server
Business Intelligence ToolBold BI On-PremiseBold BI Cloud

How to connect Bold BI with a data warehouse

You can easily connect with most common data warehouse and data mart data sources in Bold BI. Let’s see an example of how to connect Azure Synapse Analytics with the Bold BI application.

First, connect to the Bold BI Azure Synapse Analytics using the Azure Synapse Analytics connector. It fetches the data from the data warehouse server by executing the query every time, and the dashboard shows the latest metrics in real time.

Selecting Azure SQL Data Warehouse in Bold BI
Selecting Azure SQL Data Warehouse in Bold BI
Configuring Azure SQL Data Warehouse connection
Configuring Azure SQL Data Warehouse connection

Once you’ve connected to the Azure Synapse Analytics data source, a predefined list of tables and views will be displayed. Drag the required tables or views to the canvas and save the data source.

Dragging a table onto the canvas
Dragging a table onto the canvas

Now you are all set to create a dashboard. Check out the How to Create a Dashboard video tutorial to get started with dashboard creation.

Revenue vs Profit dashboard
Revenue vs Profit dashboard


In this blog, you have seen what data warehouses and data marts are and how they work with Bold BI.

If you have any questions, please post them in the comments section below. You can also contact us by submitting your questions through the Bold BI website, or if you already have an account, you can log in to submit your support question. Bold BI now comes with a 15-day free trial with no credit card information required. We welcome you to start a free trial and experience Bold BI for yourself.

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1 comment

  1. jayakrishnan J
    jayakrishnan J
    January 23, 2020 at 2:15 am

    Nice Blog!

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