1. Explain SVM, K-Nearest Neighbors, and other rudimentary ML algos. 2. SQL Joins 3. OOP pillars. Comparison between the two types of polymorphism.
Data Warehouse Interview Questions
379 data warehouse interview questions shared by candidates
Went through a series of choice A or B style questions...for example, paper or plastic? Some were applicable, others were just silly.
Asked about my experience with DataStage, Agile and how I solved conflict with an example.
With a long history in the DW market there weren't any difficult or unexpected questions.
How do you gather requirements and document them?
SQL, Data Modelling
ETL, Big Data, Testing Concepts etc
Tell me about slowly changing dimensions. What are the 3 types of fact tables? Should you use a star schema or snowflake?
Why you want to be a data analyst?
Why do I want to work for GE?
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