In the realm of data integration and processing, traditional approaches often hinge on the establishment of a central team tasked with developing the connections between a producer team and a central data platform. This methodology, however, introduces certain challenges. From an operational standpoint, the data team, positioned externally, may not fully grasp the nuanced business context of the producer’s data. This detachment can lead to inefficiencies, particularly as integrations must constantly adapt to unforeseen alterations within the source database. Such dynamics can inadvertently transform the data team into a bottleneck, hindering the overall agility and responsiveness of the business.
Trino is not just for analytics
On a different note, Trino presents itself as a robust solution extending beyond mere analytics applications. It stands out with its rapid, in-memory processing capabilities, now enhanced by fault-tolerant features that ensure query resilience. Trino boasts an extensive array of built-in connectors alongside a versatile Service Provider Interface (SPI), empowering users to develop custom integrations for datasets that can be structured in a tabular format. Moreover, Trino facilitates the execution of complex transformations directly within its environment. This is made possible through either built-in SQL functions or the development of user-defined functions, enabling users to perform valuable data transformations without the need to shuttle data between intermediary systems.
How Apache Airflow can help Trino
Despite these advanced capabilities, certain scenarios reveal the limitations of Trino, especially when dealing with complex batch workflows. The design and execution of these workflows demand a highly specialized skill set due to their intricate interdependencies and the critical nature of the processes involved. Ensuring the reliability and monitoring of these workflows is paramount, necessitating comprehensive logging, alerting, and error management mechanisms. To address these requirements and streamline the orchestration of such workflows, tools like Apache Airflow are indispensable. Apache Airflow excels in managing, scheduling, and monitoring workflows, offering a solution that complements Trino’s processing power by efficiently coordinating batch tasks and handling their complexities.
