Data engineers zijn IT-professionals en zijn in bijna elke bedrijfstak nodig. Data engineers volgen gegevenstrends voor het vaststellen van de beste vervolgstappen voor bedrijven. Een cruciaal onderdeel van het werk van een data engineer bestaat uit het verwerken van ruwe gegevens tot bruikbare gegevens door datapipelines te creëren en gegevenssystemen te bouwen.
One thing they asked me was how I would approach integrating and normalizing data from multiple sources with different formats and grading systems. They were interested in understanding how I would handle discrepancies in movie titles, genres, and ratings across platforms, and how I would design a system to ensure consistency and reliability in the final aggregated ratings.
Just question about the previous experiences
Formula Debugging Will this calculation work? IF [Category Name] = 'Cardio Equipment' THEN SUM([Sales]) ELSE null END
if you have the following Category | Sub-Category | Sales for Sub-Category | How do you calculate the total sales for each category Sub Question - What are the different types of LOD
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What are the spark optimization techniques that you used in your project
Basics of Azure data factory - Pipeline, Integration runtime, linked service, dataset, triggers, copy activity based real tie scenarios
Hive ,SQL pyspark basic questions Like pyspark optimisation techniques Partitioning and bucketing,and two hive scenario based coding
Write python code to display number of occurrence of items in a list and display it in a dictionary
Spark he asked like if any file is too small and another one is big how spark will behave
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