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The world of data man agement has changed radically in recent years. Long-standing practices that worked well in the simple world of on-premises RDBMS no longer meet today& rsquo;s data management needs. Big data, cloud, NoSQL, self-service analyti cs, data lake architecture, and more have shaken the foundations of data ma nagement—think of it as the “data quake.” In the post-qua ke era we must rethink data management and remake data management practices with attention to agility, adaptability, collaboration, and resilience.
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