Intro to DE-DV
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Data engineering involves collecting structured data that is ready for processing and changing unstructured data like text files so it can be processed by coding. This allows data scientists to then model the data to gain insights. Data visualization should be contextual by relating to the data and goal, organized in a structured way, imaginative to be intuitive and understandable, journalistic by maintaining the integrity of the underlying data, and critical by answering unknown insights useful.
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Intro to DE-DV
- 3. In Big Data environment, data size is about terra byte. So many and various. Structured Data: Text Files and ready to be processed by coding (i.e. Json format). Unstructured Data: Other Files and should be changed into text files. Data Engineering is about collecting structured data and changing unstructured data for being able processed by coding. After processing, it can be modeled by Data Scientist to get many insights.
- 5. Contextual: Synchronizing with the data and the goal. Organised: Structured, not random for getting the line. Imaginative: Intuitive, so many people can understand it. Journalistic: The data behinds the visualization is full integrity. Critical: Answering the unknown insights to be useful.