Cloud-based Data Warehouse Architecture:

Cloud-based Data Warehouse Architecture is relatively new when compared to legacy on-premises traditional Data Warehouse options.

This architecture means that the actual data warehouses are accessed through the cloud.

There are several cloud based data warehouses options, each of which has different architectures for the same benefits of integrating, analyzing, and acting on data from different sources.

The difference between a cloud-based data warehouse approach compared to that of a traditional approach include:

• Initial costs: The different components required for traditional, on-premises data warehouses mandate pricey up-front expenses. Since the components of cloud architecture are accessed through the cloud, these expenses don’t apply.
• Ongoing costs: While businesses with on-prem data warehouses must deal with upgrade and maintenance costs, the cloud offers a low, pay-as-you-go model.
• Speed: Cloud-based data warehouse architecture is substantially speedier than on-premises options, partly due to the use of ELT — which is an uncommon process for on-premises counterparts.
• Flexibility: Cloud data warehouses are designed to account for the variety of formats and structures found in big data. Traditional relational options are designed simply to integrate similarly structured data.
• Scalability: The elastic resources of the cloud make it ideal for the scale required of big datasets. Additionally, cloud-based data warehousing options can also scale down as needed, which is difficult to do with other approaches.

Some of the popular Cloud-based Data Warehouses in the market:

• Amazon Redshift
• Google BigQuery
• Snowflake
• Microsoft Azure SQL Data Warehouse

iGlades has great expertise and experience in migrating on-premises traditional Data Warehouses to Cloud based service providers mentioned above.

Do you need a Data Warehouse?

If your organization has any of the following, you will most likely need a Data Warehouse:

• Multiple sources of data that's disparate
• Big Data Analysis and Data Visualization
• Machine learning/AI
• Streaming Analytics
• Custom report generation and/or ad hoc data analysis
• Data Science
• Data Mining

To find how iGlades can create cloud-based Data Warehouse for your organization, contact our Chief Technology Officer at: CTO@iGlades.com