Efficient and strategic data management is essential in the current digital age, especially when it comes to improving customer experience. In this context, the adoption of a Data Warehouse as a Service (DWaaS) emerges as a key resource for companies seeking to transform and increase customer satisfaction. In this article we are going to explore … Read more
Currently organizations face increasing pressure to extract actionable insights from their data in real-time. Traditional analytics approaches, reliant on batch processing, are no longer sufficient to meet the demands of modern business operations. Enter database streaming services, revolutionizing the way organizations analyze and leverage their data by enabling real-time analytics. This article explores the significance … Read more
In the realm of real-time data processing and event-driven architectures, two prominent players stand out: Azure Event Hubs and Apache Kafka. Both platforms offer robust solutions for managing and processing high volumes of data streams efficiently. However, they differ in various aspects, from architecture and deployment to features and ecosystem support. Understanding these differences is … Read more
If you’ve ever wondered what Apache Kafka is and you really don’t know very well how you could get the most out of this solution, in this article We’re going to review some real use cases, where companies from different vertical markets have managed to solve complex problems with their data. Introduction Apache Kafka is … Read more
A Data Warehouse (DWH) is one of the most important data science tools for any company, as it offers a way to centralize corporate information and from there execute analytics which improve decision making. Due to flexibility in growth and costs, companies are currently preferring data warehouse solutions in the cloud over local systems. Another … Read more