Data engineering has become one of the hottest topics in the data space. As companies scale, data pipelines become more complex and the volume of data grows exponentially.
This burgeoning data needs to be stored, processed, and analyzed efficiently to extract meaningful insights that can drive business decisions.
However, data engineers are also grappling with significant challenges, including scalability issues arising from growing data volumes. Ensuring data quality and integrity is paramount to derive accurate insights and support informed decision-making. The talent gap remains a persistent issue, with a limited supply of skilled data engineers to meet the soaring demand. Furthermore, integrating diverse data sources into cohesive, accessible, and usable formats continues to be a complex task.
On today’s episode, we discuss with Stefan and Elijah from DAGWorks about the future of data pipelines, and AI. DAGWorks is a data pipeline tool built for the forward-thinking data engineering team and is incrementally adoptable. Elijah and Stefan are backed by Y-Combinator and are masters in handling vast amounts of data. DAGWorks is the result of this experience.