thanks, Bryan for this series of tutorial video on Databricks and Spark. Watching from the Lesson 1 till this lesson. Learn a lot not only from Databricks and Spark knowledge, but also from your thought about being a good data aspect engineer, . Will continue watch on other topic. Each lesson are 10 of 10. 🙌
It depends what you will be doing workwise but Python has a lot of depth and breadth and include many libraries to master like pandas, numpy, etc. SQL is also critical. ETL tools like Azure Data Factory are useful. There's always more to learn. 🙂
This is a false statement. You need to update yourself on Python's capabilities. Of course, to claim one language is more powerful than another is a useless claim since it all depends on what you are trying to do and how the language helps support it.
thanks, Bryan for this series of tutorial video on Databricks and Spark. Watching from the Lesson 1 till this lesson. Learn a lot not only from Databricks and Spark knowledge, but also from your thought about being a good data aspect engineer, . Will continue watch on other topic. Each lesson are 10 of 10. 🙌
Amazing like always Bryan!
python person says whether we need scala or not. How can you know it at all if you don't know the language?
Bryan, after a Data Engineer knows Python/PySpark, should we bother learning Java or C# ?
It depends what you will be doing workwise but Python has a lot of depth and breadth and include many libraries to master like pandas, numpy, etc. SQL is also critical. ETL tools like Azure Data Factory are useful. There's always more to learn. 🙂
scala is a much more powerful language. python might be good for scripting but not more
This is a false statement. You need to update yourself on Python's capabilities. Of course, to claim one language is more powerful than another is a useless claim since it all depends on what you are trying to do and how the language helps support it.