A data warehouse is an essential tool for businesses that need to manage large amounts of data. With the advent of big data, data warehouses have become even more critical for making the right data-driven decisions.
But with so many different types of out there, it can be tough to figure out which one is the best fit. Having an expert service provider help with the process can save you a lot of time.
Let’s discuss the different types of data warehouses: enterprise data warehouses, data marts, virtual data warehouses, operational data stores and cloud-based data warehouses.
We’ll also explore the pros and cons of each type and give you some tips on how to choose the right one.
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An enterprise data warehouse is a centralized repository that stores all the data for an entire organization. It’s designed to handle large volumes from multiple sources and provides a single source of “truth.”
One of the benefits of an enterprise data warehouse is that it can integrate data from multiple sources and provide a comprehensive view.
This makes it an excellent choice for companies that need to analyze large amounts of information from different sources.
Three examples of companies that might use an enterprise data warehouse are:
A data mart is a subset of an enterprise data warehouse that is designed to serve a specific department or business unit within an organization. Data marts are typically smaller than enterprise data warehouses and are used to address specific needs.
The upside of a data mart is that it can be designed to meet the needs of a particular business unit or department. Organizations that need to analyze data at a more granular level would be well-suited for this option.
Three examples of companies that might use a data mart are:
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A virtual data warehouse is a logical view that is created by combining data from multiple sources. The idea is to provide a unified view without physically consolidating the data.
That’s one of the primary benefits of going this route – the ability to keep the data separate physically.
If you need to analyze various disparate sources of information in one place, consider a virtual data warehouse.
Three examples of companies that might use a virtual data warehouse are:
An operational data store provides real-time data for operational reporting and analysis. It’s optimized for write-intensive applications, such as transaction processing systems, inventory management systems and order management systems.
If you need a real-time look at your data, this is an apt choice.
An operational data store provides real-time data for operational reporting and analysis. It’s optimized for write-intensive applications, such as transaction processing systems, inventory management systems and order management systems.
Examples of companies that might use an operational data store include:
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A cloud-based data warehouse is a type of data warehouse that is hosted in the cloud. This type of data warehouse is designed to be highly scalable and can be used to store and analyze large amounts of data.
They are great choices to accommodate growing businesses.
Three examples of companies that might use a cloud-based data warehouse include:
Choosing the right type of data warehouse depends on a number of factors, including your business needs, the size of your organization and your budget.
A small company might tend to use a cloud-based data warehouse, as it is a more cost-effective option for storing and analyzing data without investing in physical hardware.
A medium-sized company might use a data mart to analyze data at a more granular level, while a large company might use an enterprise data warehouse to analyze large amounts of data from different sources and provide a comprehensive view of all their data.
The cost of a data warehouse can vary greatly depending on the type of data warehouse, the size of the organization and the amount of data that needs to be stored.
An enterprise data warehouse can cost millions of dollars to set up and maintain, while a cloud-based data warehouse can cost a few thousand dollars per month.
A medium-sized company might expect to pay anywhere up to $500,000 per year for a data warehouse solution.
When choosing a data warehouse, it’s also essential to consider the pros and cons of each type.
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Choosing the right data warehouse is essential to ensuring that your business can make data-driven decisions. If you need help evaluating options for your organization, don’t hesitate to contact us. Our research and operations team can connect you with a PE-grade data warehouse resource to help you make the right decision for your business.
If you’re ready to take your data analysis to the next level, schedule a scoping call with the BluWave research and operations team today. We’ll work with you to understand your business needs and connect you with best-fit resources within one business day.
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