게시자: Sumant Mehta

Event-driven analytics with Azure Data Lake Storage Gen2

2019년 6월 26일 수요일

Most modern-day businesses employ analytics pipelines for real-time and batch processing. A common characteristic of these pipelines is that data arrives at irregular intervals from diverse sources. This adds complexity in terms of having to orchestrate the pipeline such that data gets processed in a timely fashion.

Senior Program Manager, Azure Storage