Working with data is hard, especially when you don’t know how much value you can extract from it. If you need fast access to that data, identifying outliers that may indicate systematic problems, or even finding particular analysis cases, this is the time to make a change.
When dealing with a large variety of data, it becomes clear that on some input systems, data is typically not fully structured but still follows specific patterns generating a “data footprint”. If you can easily define this footprint, it can be automatically assessed and identified while the data is being loaded into your Data Mart or Data Lake, ensuring your data is ready to be interpreted by your analytics applications.
Join us for this Webinar and learn how to use Pentaho to assess your data footprint and to avoid spending too much time looking for problems in your input data.