In traditional data warehouses, you can’t find the most current data. Instead, data is uploaded into the warehouse based on time intervals like weekly, monthly, or daily. However, this is no longer an efficient way to store data looking at the realities of the current digital age. With artificial intelligence and machine learning, companies are now making quality decisions fast based on real-time data. This is possible based on massive data scale, stream processing, unpredictable data formats, historical analyses, real-time dashboards, event messaging, and predictive analytics.
Real-time data warehouse involves ceaseless data ingestion, fast queries, and high user concurrency. It continually transforms and loads data, one transaction per event. Indeed, a real-time data warehouse serves as a concrete foundation for any business that wants to synchronize with market opportunities and maximise profits.
Is Real-time Data Warehousing Worth it?
For business intelligence, nothing can be as good as real-time data warehousing. This is simple logic, the fresher the data, the better the information and insights derived from it. Businesses who need up-to-the-minute data for efficient business operations need to embrace real-time data warehousing. This is particularly true for the finance, e-commerce, aviation, and health sectors where data is changing rapidly.
To help you, we will provide you with the key benefits that come with using real-time data warehousing in the next section.
Benefits of Real-time data warehousing
Moving from the traditional data warehouses to the modern real-time data warehousing has a great number of benefits. They are discussed as follows:
- Fast-track Decision Making: It allows organisations to make informed decisions at a faster rate. There is no reason to wait till tomorrow or next week to make a decision that can be made today; as long as the data is available, it can be effectively put into use for accurate and ingenious business decisions.
- Optimization: You will have the immense opportunity to use the data warehouse optimally by running transformations in the database instead of using a different run-time environment.
- No Batch Windows: It gives room for the elimination of the batch window that requires the source database and probably the data warehouse to be dormant when the load is ongoing. This kind of elimination helps to ensure that no inconsistent data is reflected in the queries.
- Faster Recovery: With real-time warehousing, you have the opportunity to recover quicker from any load issues or data transformation. As you know, if a nightly batch job fails, then, one may need to wait for the next batch window to recover. However, with more frequent updates, there will be faster intervention.
Having read this article, you will agree that a 21st-century business that wants to compete in the marketplace needs to embrace real-time data warehousing. At Axual, we have a team of professionals with several decades of experience and expertise in data analytics and we are ready to handle your data analytics for you anytime
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