With the explosion in data volume and its variety of uses, data platforms have undergone a remarkable evolution since the late 90s, progressing from traditional BI system to Cloud lakehouses. It is now more important than ever for companies to build an architecture that optimizes organizations’ information assets.
Modern data platforms fully leverage the potential of analytical datasets and real-time events, exploiting the power of datalakes, cost-effective storage, and the scalability of cloud computing.
To take advantage of these capabilities, the data platform's architecture, technological components, and, above all, its alignment with business use cases play a pivotal role. All these key enablers work together to transform raw data into integrated data products, leading to actionable insights and predictive foresights for companies.