Data Patterns in a Multi-cloud Future

Data Patterns in a Multi-cloud Future

Multi-cloud is becoming the norm. What does this mean for data science and data engineering when your data is spread across multiple clouds and on-premise? Learn Data Patterns in a Multi-cloud Future.

Multi-cloud is becoming the norm. What does this mean for data science and data engineering when your data is spread across multiple clouds and on-premise?

The most important asset for any organization is their data. But that is also the asset that’s the most challenging to manage. I’ve written how cloud computing has evolved to keep in tune with the changing dynamic of world economics and trade and why it’s imperative for every organization to have a multi-cloud strategy. While keeping pace with changing dynamics is important for businesses to thrive and grow, it also brings in a new set of challenges.

Especially when you bring in multiple cloud platforms where your enterprise data is spread across different clouds, how does it change the data science equation? Are you still able to leverage all the data from all the clouds and on-premise to still connect the dots and extract meaningful analytics out of them?

data-science google google-cloud-platform cloud-computing cloud multi-cloud

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