Glossary of Data Science and Data Analytics

What is Cascading?

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Cascading is a platform used to develop big data applications on Hadoop. It provides a computational engine, system integration framework, data processing, and programming capabilities. One of the key benefits of cascading is that it provides portability to development teams, so they can move existing applications without incurring the cost of rewriting. Cascading applications can run on different platforms such as MapReduce, Apache Thesis and Apache Flink and link between the platforms.

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Diffusion Models are models that have recently gained great interest in the field of machine learning and artificial intelligence, especially in image production. Diffusion models work by modeling noise on data to create realistic images.

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