Hadoop is a distributed data management platform or open source recovery framework used to store and process big data. Sometimes it can also be described as a reduced distributed operating system. It is designed to manage and work with large volumes of data and to perform linear scaling to large clusters of thousands of trading computers. First, Yahoo! It was developed for, but is currently free through the Apache Software Foundation and is open to everyone, but usually requires the use of extensive programming knowledge.
Deep learning, also known as deep neural learning or deep neural network, is an artificial intelligence (AI) function that mimics the way the human brain works to process data and create patterns that facilitate decision-making.
The data lake is where long-term data containers gather that capture, clean, and explore any raw data format at scale. Data subsets are powered by low-cost technologies that many downstream possibilities can benefit from, including data warehouses, and recommendation engines.
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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