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PODIUM PERSPECTIVE

Data Quality and Ingest Challenges for Enterprise Data Lake Projects

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This Podium Perspective explores the data quality and ingest challenges associated with data lakes.

Loading data into Hadoop seems simple at first glance, but to do it right there is a long list of data quality, formatting, validation, and profiling steps that need to happen. Hadoop alone does not automatically address these steps, putting the onus on the data lake project team to handle this effort. This Podium Perspective explores the data quality and ingest challenges associated with data lakes and maps out how Podium handles these requirements in their data lake management software platform.

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