Data Lake strategies seem to have found their perfect companion in cloud providers. After years of criticism and struggles in the on-prem Hadoop world, data lakes are flourishing thanks to the simplification in management and low storage prices provided by SaaS vendors. For some, this is the ultimate data strategy. For others, just a repetition of the same mistakes.
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The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized repository. But this approach is slow and expensive, and sometimes not even feasible, because some data sources are too big to be replicated, and data is often too distributed such as those found in cloud data sources to make a “full centralization” strategy successful.
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Inspire future careers through the use of academic esports, coding, and augmented and virtual reality (AR/VR)! Discover best practices for creating learning environments that foster creativity, play, and coding mindsets - utilizing AR/VR to demonstrate and explain complex concepts.
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Redmond
Since VMware vSphere 5.5 is now no longer supported, what happens if you are still running this in production? What are the other options you have? In this episode, join us along with a special guest from VMware, Christopher Morrow, as we discuss through the following:How to upgrade your options to vSphere 6.5 or 6.7.Management changes in the newer releases.
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