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.
Supply chain management refers to the optimization of the flow from the supply of raw materials of a product to its production, from the logistics process to its delivery to the final customer.
Reverse ETL is a data integration method in which traditional ETL (Extract, Transform, Load) processes reverse.
Data analysis is the thorough and careful review and interpretation of data collected through a study. Data analysis then yields results that can be used to accurately answer research questions.
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