BIg Data

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Big data are collections of large and complex datasets that require more powerful and specialized tools to view and get insights from. Machine learning applications are often used to process large amounts of data in order to generate insights. There are terms associated with these tasks and the data is described by its velocity, variety and volume. In addition, the data is checked for veracity and this determines the value of the data.

The velocity of the data refers to the speed of the data generation, collection and processing which can enable real-time analysis and get insights. Examples of this can be sensor data from cars, financial transactions or social media posts which all can occur in real-time. The variety of data is in the different types and sources of data that can be collected and that can affect the time it takes to process the data. Big Data is characterized by a large volume of data that require resources to collect, process and store for analysis.

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Google has a search function to find public datasets on the web at https://datasetsearch.research.google.com/ and above is an example of data on veterans data that is accessible via the US Government's veterans affairs website https://www.data.va.gov/api.

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