Organizations often underestimate the technical complexities and the resources needed to build an effective data lake—-not to mention operating and maintaining the data lake once it’s developed. But you can circumvent these obstacles by learning the most common pitfalls faced in developing and deploying your data lake.
In this session, learn how to manage:
- Data ingestion issues with managing source side change data capture and subsequent merging and syncing of data
- Data preparation challenges including effective troubleshooting of data pipelines and how to prep data to scale and support high-speed BI queries
- Data lake operational hazards including scaling up for agile enterprise-grade performance
- Constantly changing data platforms and how to deal with hybrid and multi-cloud environments
- Data lake governance challenges such as managing access control and maintaining regulatory compliance
