Etl processes oracle8/17/2023 Next, Wikibon evaluates the performance, IT costs, and business case to migrate and deploy two different cloud-based data warehouse solutions that can support Real-time Analytics. We assume that the organization has annual revenues between two and three billion dollars. Wikibon then evaluates a case study where an enterprise runs a data warehouse based on Oracle Database Enterprise Edition on-premises in a traditional datacenter with “Best-of-Breed” infrastructure components. In addition, we look at the integrated infrastructure and software technology requirements to achieve Real-time Analytics. This Wikibon research paper defines Real-time Analytics and the crucial benefits of reducing and eventually eliminating complex, time-consuming, and costly ETL processes to populate data warehouses. Wikibon will publish follow-on research about the value of Transactional Analytics and the prerequisite technologies. Wikibon believes that Transactional Analytics will profoundly simplify and automate business processes and dramatically improve costs, quality, and customer satisfaction. Real-time Analytics is also a prerequisite for Transactional Analytics, where the transaction applications issue Real-time Analytic queries. No significant increase in IT budget is required to meet this goal. As a result, enterprises can radically improve the quality of data, simplify data management, and move towards the goal of a single version of the truth. Technologies such as Oracle Autonomous Data Warehouse with Exadata will revolutionize data warehousing by progressively eliminating complex ETL (Extract, Transform, Load) processes and providing the business with analytic queries in real-time. The premise of this research is that modern integrated hardware and converged database software will enable Real-time Analytics.
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