Today, data lakes are springing up here and there. And with that, the composition structure of data lakes is changing. As more and more data are moving towards cloud, data lakes are shifting focus towards cutting edge sources, like NoSQL, while cloud data warehouses are emerging across hybrid deployments.
A humongous amount of data is being churned out on digital platform each day. IBM says as much as 2.5 quintillion bytes of data is created on a daily basis. Now, this ever-expanding amount of data needs for proper storage system – for that, data lakes have been constructed to hold data in its raw form. In these vast storehouses, data remain mostly in their unstructured state, which is pulled out by data scientists to remodel and transform them into versatile data sets for future use.
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Data is the buzzword. It is conquering the world, but who conquers data: the companies that use them or the servers in which they are stored?
Let’s usher you into the fascinating world of data, and data governance. FYI: the latter is weaving magic around the Business Intelligence community, but to optimize the results to the fullest, it needs to depend heavily on a single factor, i.e. efficient data management. For that, highly-skilled data analysts are called for – to excel on business analytics, opt for Business Analytics Online Certification by DexLab Analytics. It will feed you in the latest trends and meaningful insights surrounding the daunting domain of data analytics.
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Use intelligence to make the world a better place to live in – Google’s London-based AI coterie, DeepMind is a pioneer in artificial intelligence research programs and has churned out two distinct types of AI that uses the ‘power of imagination’ to plan ahead and fulfil tasks with a higher success rate than the previous ones that lacked imagination.
In a recent interview, DeepMind researchers shared a crisp review of “a new family of approaches for imagination-based planning.” I2As, the so-called Imagination-Augmented Agents make use of an internal ‘imagination encoder’, which helps the AI determine what are and what aren’t productive predictions about its atmosphere.
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