Data engineers today serve a wider audience than just a few years ago. Companies now need to apply Machine Learning (ML) techniques to their data in order to remain relevant. Among the new challenges faced by data engineers is the need to build and fill Data Lakes as well as reliably deliver complete large-volume data sets so that data scientists can train more accurate models. Aside from dealing with larger data volumes, these pipelines need to be flexible in order to accommodate the variety of data and the high processing velocity required by the new ML applications. Qubole addresses these challenges by providing an auto-scaling cloud-native platform to build and run these data pipelines. In this webinar, we will cover:
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source.
See what our Open Data Lake Platform can do for you in 35 minutes.