i) Spark architecture ii) Difference between RDDs, DataFrames and Datasets iii) What is fault tolerance and how does spark handle it iv) Memory management and garbage collection in Spark v) One SparkSQL based question vi) One PySpark based question vii) ETL implementation in AWS Glue
some SQL problem that examined knowledge about the JOIN function
article keyword detection
Exprience on big data. Some problems to solve. About, acid and agile metodology.
Introduction and if it is matching requirements.
How do you see yourself in 10 years?
When you will not use docker
Difference between Structural databases and unstructured databases.
About project
The skill test included some low level data structure & algorithm questions. They were not very hard but unfortunately I was not at my best at the second interview (also did not feel so good health wise)
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