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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What is Nano Banana AI?

Nano Banana AI is an AI-powered image creation and editing platform based on Google's Gemini 2.5 Flash Image model. The tool, which first began testing as an anonymous model on an artificial intelligence assessment platform called LMarena in August 2025, was officially launched on August 26, 2025 via the Gemini app.

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What is Diffusion Models?

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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What is Data Lakehouse?

Data Lakehouse is a modern data management approach that combines the advantages of data warehouse and data lake architectures. This structure offers the ability to process both structured and unstructured data on a single platform, making data analytics and big data processing processes more efficient.

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