In part 2, Jim Harris explains more about why you should address data quality and governance issues on the way to data lakes and Hadoop.
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Jim Harris advocates addressing data quality and governance issues on the way to data lakes and Hadoop.
Jim Harris explains why data quality is such a fundamental aspect of master data management.
Do you know how master data management and data warehouses are different? Jim Harris explains.
Jim Harris discusses how the lines between data management and analytics are fading.
Via streaming data, Jim Harris says machines can learn some amazing things without being programmed with domain knowledge.
Like getting into good shape, Jim Harris says we must carefully measure adherence to regulatory compliance – using both internal and external measures.
Platform and strategy are core to compliance, but Jim Harris says commitment from people across the organization is just as important and harder to achieve.
Corporate compliance with an increasing number of industry regulations intended to protect personally identifiable information (PII) has made data privacy a frequent and public discussion. An inherent challenge to data privacy is, as Tamara Dull explained, “data, in and of itself, has no country, respects no law, and travels freely across borders. In the
The term compliance is most often associated with control. It evokes visions of restrictions, regulations and security protecting something which is to remain private. The term open is most often associated with access, and it evokes visions of an absence of restrictions, regulations and security – making something available which is