Maintaining Data Quality in Data Lake

Data quality is the issue faced by almost every organization, this session will include highlighting what are the data related problem exists and how we can address them. We will compare some of the data quality tools existing in the market and see how these tools can fit into our requirement helping in validating the data either during data ingestion in data lake or data at rest.
Presenter - Deep Kulshrestha, Accenture Latvia, Data Engineering & Data Architecture guild