- Statistics for Data Science
- James D. Miller
- 128字
- 2021-07-02 14:58:46
Issue or insights
A lot of a data developer's time may be spent monitoring data, users, and environments, looking for any indications of emerging issues such as unexpected levels of usage that may cause performance bottlenecks or outages. Other common duties include auditing, application integrations, disaster planning and recovery, capacity planning, change management, database software version updating, load balancing, and so on.
Data scientists spend their time evaluating and analyzing data, and information in an effort to discover valuable new insights. Hopefully, once established, insights can then be used to make better business decisions.
There is a related concept to grasp; through the use of analytics, one can identify patterns and trends within data, while an insight is a value obtained through the use of the analytical outputs.
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