The world of analytics has grown and changed radically in recent years with trends such as data science, big data, and self-service analytics. While analytics has grown and changed data management practices have lagged behind. Data architecture, governance, and curation require different thinking and new techniques to keep pace with rapid changes in how we collect, manage, and use data.
Data architecture must stretch well beyond data warehousing and relational databases to encompass data lakes, analytic sandboxes, big data, NoSQL, cloud hosted data, and more. Conventional data governance practices come from a simpler time when agility, autonomy, and line-of-business self-service were not priorities. Data curation is a critical skill to actively manage the inventory of data and connect self-service data consumers with the data that they need. As the rate of analytics adoption accelerates new data management skills and practices must catch up and keep up with the pace of change.
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