Have you heard the term "ππππ ππ§π π’π§πππ«π’π§π " and "ππππ ππ§π π’π§πππ«π¬" but have no idea what it means or what they do?? I got you covered!
What is Data Engineering?
Data engineering is the primary domain to derive value from collected data. Data engineering imparts practical skills to move data from one location to the other without any loss of information.
What skills you should have?
The key skills of a data engineer are to access the data, extract the data to optimally transfer it, and then eventually to be able to store the data. Along with these skills, data engineers should be able to handle very large volumes of data and not lose any value in the process.
What's so difficult about it?
A key challenge that comes with handling large data is the loss of context. It's the job of data engineers to interpret the data, which is gathered from various sources, and present a unified view that can be understood by people utilizing that data. Basically, data engineers have to make sense of a never-ending incoming surge of raw data to be able to quickly interpret it, clean it, and then store it in tidy CSV files that are used by data scientists for further analytics.
#dataengineering #data #dataanalytics #bigdata #dataanalysis #dataanalyst #datacleaning #dataengineers #dataengineer
What is Data Engineering?Data engineering is the primary domain to derive value from collected data. Data engineering imparts practical skills to move data from one location to the other without any loss of information.
What skills you should have?The key skills of a data engineer are to access the data, extract the data to optimally transfer it, and then eventually to be able to store the data. Along with these skills, data engineers should be able to handle very large volumes of data and not lose any value in the process.
What's so difficult about it?A key challenge that comes with handling large data is the loss of context. It's the job of data engineers to interpret the data, which is gathered from various sources, and present a unified view that can be understood by people utilizing that data. Basically, data engineers have to make sense of a never-ending incoming surge of raw data to be able to quickly interpret it, clean it, and then store it in tidy CSV files that are used by data scientists for further analytics.
#dataengineering #data #dataanalytics #bigdata #dataanalysis #dataanalyst #datacleaning #dataengineers #dataengineer
