- Augmented Analytics
- Big Data Analytics
- Business Analytics
- Data Governance & Data Fabric Architecture
- Data-Driven Strategy & Transformation
- Performance Management & Improvement
- Quiénes somos
- Webroom & Events
Making data-driven strategies more financially sustainable
Serverless architecture refers to the adoption of serverless code to create different design patterns able to benefit businesses, managing the allocation of time and resources. It’s an ideal approach for many companies because it offers different advantages, from efficient use of resources to rapid deployment, but also cost-effective solutions and increased scalability. Above all, serverless approach makes data-driven strategies more financially sustainable: companies can decide how, where and when to process data in an economically feasible way.
Traditional Data Warehouse does scale vertically and not horizontally, meaning that is not easy to add computing or storage power to an existing Analytical Framework. Companies are requesting to increase frequency of Data Loading to increase the level of detail of the Analysis, to keep a longer history of data, to integrate new companies within the DWH, and Traditional DWH Architecture would require a relevant infrastructure intervention before enabling users to meet the mentioned expectations.