Uses and Advantages of Cloud Data Warehouses
Written by Kaushal Shah
What is a Cloud Data Warehouse?
It is a data warehouse hosted in the cloud, which means the data is stored and processed on remote servers managed by a cloud computing service provider. Now that businesses are feeling the growing need for efficient means to deal with data, it becomes easier to understand why cloud data warehouses have become essential for companies. Nonetheless, let us look at some of the cloud data warehouses' critical use cases to help you better understand the potential of and why the global cloud data warehouse market is expected to grow from $22.7 billion in 2021 to $50.8 billion by 2027.Cloud Data Warehouse: Use Cases
- Auditing: One of the most compelling use cases of cloud data warehouses is auditing financial records. Thanks to the centralized data in a cloud data warehouse, it becomes easier for companies to determine inconsistencies and anomalies, which can indicate fraud or other problems.
- Decision making: Cloud data warehouses are also crucial because they are conducive to complex data analysis, which empowers decision-makers to explore data correlations, relationships, trends, etc. This analysis, in turn, helps them understand the current state of the business and identifies possible challenges and opportunities.
- Reporting: Because cloud data warehouses also enable companies to run complex queries on large amounts of data, these handy solutions can be put to work to generate reports on various aspects of a business, including customer satisfaction, employee performance, sales, marketing, etc.
Benefits of Cloud Data Warehouse
- Cost: Compared to conventional on-premises solutions, cloud data warehouses provide significant cost advantages through various factors, such as reduced infrastructure costs, pay-as-you-go payment models, etc. Also, unlike traditional data warehouses that often require over-provisioning resources to contend with occasional peak workloads, cloud data warehouses can automatically scale resources. This also leads to reduced costs since there is no need for excess capacity.
- Performance: Cloud data warehouses also offer substantially better performance as compared to traditional data warehousing solutions on account of their optimized hardware, elasticity, performance optimization features, etc. Parallel processing, i.e., the use of distributed processing techniques to enable parallel processing of large volumes of data, enhances query performance and cuts down the time it takes to glean insights from data.
- Scalability: Easily one of the USPs, or hallmark features, if you will, of cloud data warehouses is their scalability. In addition to the vertical scaling, horizontal scaling, and auto-scaling features, cloud data warehouses can accommodate data growth over time without requiring significant infrastructure changes. This is especially valuable as a business' data volumes grow.
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About the Author
Kaushal Shah manages digital marketing communications for the enterprise technology services provided by Rishabh Software.
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