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Prime examples of this in the data catalog include: Trust Flags — Allow the data community to endorse, warn, and deprecate data to signal whether data can or can’t be used. DataProfiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.
Focus Area ETL helps to transform the raw data into a structured format that can be easily available for data scientists to create models and interpret for any data-driven decision. A data pipeline is created with the focus of transferring data from a variety of sources into a datawarehouse.
Data Processing : You need to save the processed data through computations such as aggregation, filtering and sorting. Data Storage : To store this processed data to retrieve it over time – be it a datawarehouse or a data lake. Credits can be purchased for 14 cents per minute.
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