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According to TDWI survey data, about half of all enterprises expect to replace their data warehouse systems -- in some cases, their analytics tools, too -- over the next three years. What should they replace them with?
Learn why you should design tools for people with low technical skills, how many homes in the U.S. have a computer, and where the fastest Internet is.
Three examples highlight the power of machine-learning predictive analytics.
It’s 2017, and there are many exciting developments anticipated in the data world. Make sure you’re ready to prepare for new technology trends.
What will future data architectures look like? You can bet that something like data federation will be in the mix. Because both data storage and data processing are -- and will continue to be -- highly distributed, federation is inevitable.
NoSQL and Hadoop have overlapping capabilities but they are not competitors. We examine seven features that differentiate a NOSQL document database from a relational database.
Identifying hidden machine-learning debt is just the first step in becoming debt free.
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