Data warehousing solutions examples

  • 5 examples of data warehouse

    They can help businesses make data-driven decisions, gain insights into their customers, optimize business processes, reduce costs and much more.
    A data warehouse is typically made up of a database, an extract-transform-load (ETL) layer, access tools and metadata..

  • How do I choose a data warehouse solution?

    Considerations for choosing a data warehouse

    1. Data types: what type of data you want your warehouse to store
    2. Scale: the amount of data you plan to store
    3. Performance: how quickly you need your data when you query it
    4. Maintenance: how much engineering effort you're willing and able to dedicate to your warehouse

  • An enterprise data warehouse (EDW) is a database, or collection of databases, that centralizes a business's information from multiple sources and applications, and makes it available for analytics and use across the organization.
    EDWs can be housed in an on-premise server or in the cloud.
10 cloud data warehouse solutions to consider
  • Azure Synapse.
  • Google BigQuery.
  • IBM Db2 Warehouse.
  • Amazon Redshift.
  • SAP Data Warehouse Cloud.
  • Oracle Autonomous Data Warehouse.
  • Teradata Vantage.
  • Panoply.
Nov 24, 202210 cloud data warehouse solutions to consider1. Azure Synapse2. Google BigQuery3. IBM Db2 Warehouse4. Amazon Redshift5. SAP Data 
  • #1 - Google BigQuery.
  • #2 - Amazon Redshift.
  • #3 - Snowflake.
  • #4 - Azure SQL Database.
  • #5 - Azure Synapse.
  • #6 - Firebolt.

What are the different types of data warehouses?

There are two main types of data warehouses, including on-premises and cloud

An on-premises data warehouse describes when the physical server that stores data and runs analytics is on the premises of the business itself, whereas a cloud data warehouse is a system that operates in the cloud

Types of data warehouse solutions

  • Enterprise data warehouse (EDW) It is a centralized corporate repository. ...
  • Operational datastore An operational Data Warehouse (ODS) is a database that integrates data from disparate sources to be further used by reporting applications. ...
  • Data mart It is a part of the data warehouse dedicated to a specific direction, such as sales or finance. ...

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