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Data overload is a real problem, but we keep piling it on. After all, AI and machine learning require massive data sets. But are we framing the problem correctly? Causal emergence makes a different argument - and could impact the "big data" obsession.
The Evolution of The Data Engineer: A Look at The Past, Present & Future
One-Day Virtual Event to Feature Insights and Best Practices from the Brightest Minds in the Data and Analytics Industry AtScale, the leading provider
Analytics tools get shinier and fancier, but the classic problem remains: are we making better decisions? This is not a new debate. But in today's supposedly data-driven organizations, with hefty analytics investments in play, the issue takes on a new urgency.
Has the traditional data warehouse finally reached the end of its life? If so, what will follow it? Will it be a hybrid? We find out.