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Data is the lifeblood of an intelligent enterprise. Explore our data-related topics to learn more about how to become a data-driven business.

Artificial intelligence

The field of exploration that focuses on getting computers to complete tasks we’d previously assumed only a human could do.

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Big data

A data paradigm that focuses on collecting and rapidly making sense of large amounts of information from a wide variety of sources.

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Data lake

A data lake is a repository — typically a large one — for storing data of many types.

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Data mesh

Data mesh is an approach to data architecture where ownership of the data is distributed among cross-functional domain teams, who then provide data products to end users.

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Data science

Data science combines methods, processes and technology to extract knowledge and insights from data to achieve some business purpose.

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Data warehouse

A repository for storing and analyzing operational data.

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Deep learning

Deep learning is a branch of machine learning that uses multi-layered networks of computational nodes called neurons, creating an artificial neural network that mimics the way human brains process information.

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Event-driven architecture

A style of creating software that uses business events to trigger actions. Ideal for rapidly growing enterprises that need to respond quickly to changes.



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Kafka

Apache Kafka is an open-source streaming platform frequently used by companies looking to develop innovative digital services that rely on large, real-time data sets.

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Machine learning

Machine learning is a branch of artificial intelligence that uncovers patterns in large accumulations of data in order to make predictions and decisions. 



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R

A programming language and environment developed for statistical analyses.

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Regression

A traditional approach to analyzing data that aims to create models from past behavior that can be used to make future predictions.

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