Four business benefits of cloud data warehousing
Cloud data warehouses can help businesses store and analyse data to find informative patterns
As technology continues to advance, so does the amount of data generated on a daily basis, both internally through marketing, sales, production, and finance, among others and externally, from sources like the internet of things.
Storing and analysing all this data requires a dedicated system that can integrate a variety of data types, as well as provide information and insight. Not all traditional, on-site data warehouses are still up to the task. Because of this, cloud data warehousing has emerged, which has opened doors for organisations of all sizes and types.
Like a traditional data warehouse, a cloud data warehouse is a computer system dedicated to storing and analysing data to find patterns and correlations that lead to information and insight. Data warehouses also store and integrate data from multiple sources in varying formats. However, cloud data warehousing is based in the cloud, not in a traditional, on-premise location, and as such can be bought from and managed by a vendor in an as-a-service product.
With that in mind, here are four business benefits of cloud data warehousing.
1: Cloud data warehousing meets current and future needs
Flexibility is an important factor of cloud data warehousing. Organisations will have the ability to scale compute and storage independently, pending the company's needs. So, if a business needs more storage today, they won't also be forced to add more compute. But if their situation changes in the future, they can adjust however needed.
2: Data is accommodated and integrated in one place
With the help of data analytics, semi-structured data has the capability to provide next-level insights beyond what traditional data can provide. But semi-structured data must be loaded and transformed before an organisation can analyse itthis is a process most traditional data warehouses can't handle, but one that cloud data warehouses can.
This ability to support diverse data without performance issues ensures all of an organisation's data can be loaded and integrated in one location. This not only increases flexibility, but it also means all data can be managed and maintained in one system, reducing costs.
3: Cloud data warehousing saves money
Between licensing fees, hardware, set-up, management, securing and backing up data, and more, conventional data warehouses can cost millions. Not to mention building one that can hold the variety and volume required by today's standards ups the cost even more.
However, using cloud data warehousing as a service (as it is commonly used today) can cut costs significantly, while keeping all the same features. Relying on service providers to maintain systems and only purchasing the amount of support needed helps organisations stretch their budgets further and avoid paying for unnecessary features.
4: Data is secured at rest and in transit
An important aspect to analysing and storing data is keeping that data safe. In addition to the use of vendor-conducted penetration tests to check for vulnerabilities in the system, modern data warehouses do this through confidentiality and integrity measures.
Confidentiality practices prevent unauthorised access to data, and are usually done through role-based access control, which only allows those permitted to access the data to do so, and multi-factor authentication, which requires users to enter a code (usually one sent to a mobile phone) and ensures a stolen username and password can't be used to access the system.
Integrity measures guarantee data isn't modified or corrupted, and entails the use of encryption practices and encryption keys to protect data from unauthorised prying eyes.
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