The main tasks of data analysts are to collect, process and analyze data, as well as prepare reports that can consist of graphs, diagrams, tables and other visuals. Furthermore, data analysts often act as guardians or custodians of an enterprise's data, ensuring that information assets are consistent, complete, and up to date. Many data analysts and business analysts are known to have serious technical knowledge and strong industry expertise.
Cascading is a platform for developing big data applications on Hadoop.
In AI and machine learning projects, instead of processing raw data directly, it is necessary to make it more meaningful and processable. An important concept that comes into play at this point is Embedding.
Data architecture is a set of rules, policies, standards, and models that govern and determine the type of data collected, and show how this data is used, stored, managed, and integrated within an enterprise and database systems.
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