Data gravity occurs when the volume of data in a warehouse increases and the number of uses also increases. In some cases, copying or moving data can be troublesome and expensive. Therefore, data tends to pull services, applications and other data into its warehouse. Primary examples of data gravity are data warehouses and data lakes. Data in these systems is inert. Scalable volumes of data often break existing infrastructure and processes, requiring risky and expensive fixes. Therefore, the best practice is to move design processing to data, not the other way around.
A data warehouse (often abbreviated as DW or DWH) is a centralized “data warehouse” capable of integrating a variety of sources. It provides a separate environment from operational systems.
Python is an object-oriented, high-level programming language developed by Guido van Rossum. It first appeared in 1991. Designed to be both easy and fun, the name “Python” is a greeting to the British comedy group Monty Python.
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.
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