Reflect on your understanding of Data Quality Management (DQM) and Data Governance (DG) and how they are operationalized/implemented and/or managed at your organization. From what you have learned in these modules, what change recommendations would you propose to your organization regarding DQM and DG and their contribution to your firm’s enterprise wide Data Management? Make a compelling case for how MDM and MM contribute to (or could potentially contribute to) enterprise wide DQM and DG within your organization. Then return to the article titled data-management-101-ebook-databricks.pdf which elaborates data management in/on DATA BRICKS, an emergent platform for data storage, business intelligence and machine learning, and reflect upon how Databricks and similar AI-Based emergent data management platforms impact (or could potentially impact) DQM and DG in your organization. Post your reflection (a good post will be between 200-600 words) to this discussion forum. by FRIDAY.

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