The Data Journey: Unlocking data for the right now

Many eCommerce retailers and large companies are navigating a three-phase data journey, beginning with the consolidation of disparate data into a cloud-based data lake for scalability and ease of analytics. The subsequent phase involves data modeling, where data engineers transform raw data into structured formats to provide a single source of truth, facilitating accurate business intelligence and machine learning applications. While many companies are still focused on these initial phases, there is a shift towards the third phase: operationalizing data to enable real-time applications that require low latency and high concurrency. Traditional data warehouses, though effective for long-running queries and business intelligence, are not designed for these interactive use cases, prompting companies to explore new real-time data platforms such as Tinybird. These platforms offer fast analytical databases and tools to support complex queries on streaming data, allowing companies to maintain their existing data infrastructure while extending capabilities to meet the demands of modern, fast user experiences.