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From navigating cloud storage options to verifying the data post-transfer, follow these steps to avoid the hazards of cloud migration
A guide to unsupervised and supervised machine learning and understanding their application by businesses today
If you dream of modernizing data warehouses—and data marts—in the new platform of the cloud, watch out: It’s not as easy as you might think
Businesses need more than a machine learning engine or framework to successfully extract the valuable and actionable insights from their data—and not all machine learning solutions are created equal
Whether you are a company director, an educator or a parent, you need to think about how to create a diverse workforce in the short and long term
Part 1 of a conversation with Jason Fishbain, chief data officer, University of Wisconsin at Madison
Most modern businesses will survive only if they use data to acquire and retain customers, and if they use data to automate their supply chain or protect their valuable assets
Apache Flink is made for applications that continuously apply the same business logic to a series of inputs. That’s most business applications
Data leaders need to stay on top of the technologies of message queues and databases
For data integration, pipelining, and wrangling data: Here are the seven types of tools you should build your data tool set from.