Best of Data Analysis — October 2022
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Community Picks·4y
Using Decorators to Solve Date Problems
Decorators to Solve Date Problems a decorator is the gateway drug into the world of Python metaprogramming. In python, everything is an object (specifically a dictionary but let's not go there) In Python, we can pass in and return any object regardless of its type. Solution 1 would be to define some function clean_dates which takes in the dataframe, cleans the date columns specified by some configuration and return the cleaned dataframe.
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Top Data Engineering Tools/Platforms in 2022
Cloud data warehouses are the next option on the list for two reasons: They offer an improvement over on-premise legacy databases. Spectacles is a recently released tool that enables teams to deploy their LookML layer with assurance. The fields of machine learning and big data, which demand the mobilization of tremendous computing capacity to process vast data warehouses, depend on these two qualities.
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Event Store·4y
How to implement Event-Driven Architecture
This page gives you some useful advice on how to implement EDA and affect real change in your business. Make sure every event is in the past tense, as the events are recorded after they have happened. Modeling your data on the processes of your business has value across all departments. Take your time and get this right!
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KDnuggets·4y
A Data Science Portfolio That Will Land You The Job in 2022
You do not have a Master's degree in data science and have no prior experience in the field. You have even created data science projects and included them in your portfolio hoping that they will get you a job. This makes it seem like you lack experience and can do more harm than good to your portfolio. Take one or You are not Playing to your Strengths.
