Big Data 2018: Cloud storage becomes the de facto data lake

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As we bat cleanup with our 2018 predictions for big data, we’re going to pick up where Big on Data bros Andrew Brust and George Anadiotis have left off.

Yes, it’s getting harder and harder to stay oblivious to the impact of AI, with implications from the geopolitical to the mundane and the positively creepy. It’s getting harder to miss the growing impact of IoT on everything from our homes to the way hospitals deliver care, autonomous cars are driven, factories are run, and smart cities are managed. And the arrival of GDPR, which will start taking effect in 2018, is forcing the issue for organizations the privacy and national sovereignty implications for the data sitting in everything from traction databases to data lakes and cloud storage.

But beneath the surface, we’re seeing the beginnings of tectonic shifts in how enterprises manage their cloud, streaming analytics, and data lake strategies.

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27.5 percent of big data workloads are running in the cloud (Source: Ovum ICT Enterprise Insights)

Multi-cloud moves to the front burner