Roll up data with Materialized Views

In 2021, the Ethereum blockchain experienced significant transaction volume, prompting the need for efficient data analysis methods to manage real-time analytics dashboards. The concept of rollups is introduced as a solution, allowing for incremental aggregation of transaction data to improve query performance and reduce computational load. By implementing rollups using Materialized Views in Tinybird, developers can create efficient data pipelines that handle large datasets by pre-aggregating time series metrics. This approach enables dynamic querying based on different time spans, enhancing the speed and efficiency of data presentation in dashboards. The example provided demonstrates how queries that utilize materialized rollups drastically reduce the number of rows scanned, resulting in faster query execution. The blog post also includes a visual demonstration using a UI built in Retool, illustrating how rollups can optimize dashboard performance and offering readers an opportunity to explore the methodology through a GitHub project.