Data science and engineering

Artificial intelligence

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

Big data

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

CD4ML

Continuous delivery for machine learning — CD4ML — takes software engineering approaches and applies them to the creation of machine learning applications.

Data lake

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

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.

Data science

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

Data warehouse

A repository for storing and analyzing operational data.

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.

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.

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.

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.

Natural language processing

Natural language processing

Online machine learning

Online machine learning

R

A programming language and environment developed for statistical analyses.

Regression

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

Test data management

Test data management