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.
Data Mart is a slice of the data warehouse logical model that serves a narrow group of users. Many data subsets only need a subset of data from the full tables in the data warehouse.
Data visualization makes it possible to quickly obtain information by visualizing data regardless of format, type or source. It also allows the presentation of information that is not visible at first glance about what the data means in a clear and clear way.
Automated machine learning, called AutoML (Automated Machine Learning) in the field of artificial intelligence and machine learning, describes integrated software platforms for the creation, training and optimization of a machine learning model.
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