Why do you want to work for us, why should we hire you, technical issue to resolve
Big Data Engineer Interview Questions
1,228 big data engineer interview questions shared by candidates
Mostly around spark in the first Round like cluster/client mode, memory management model etc
Technical ,hr and abt my old project
Related to Spark and Python Coding Questions.
What is broadcasting in detail not what it does but concept
What is the difference between Spark Driver and Executor
Discussion on Project and Technology i have worked on Real Time and Ingestion Process detail Some questions on Map-Reduce working Sorting a big file Combiner and question on it. Kafka and spark fundamental Optimization on real time streaming.
Hadoop mapreduce how HDFS works, command to check if replicated data lost from partition how YARN works how Spark works, what happens after you submit a job HIVE and buckets RDD vs DataFrame vs DataSet monitoring tools for YARN
However, just because the interview is over doesn't mean your process should be. One step that many people skip in the job interview process is the review. Reviewing job interview is almost as important as the other steps. The review helps you realize what you did well, and what you could improve on
FACT_ORDER_ITEM product_id, customer_id, view_day, item_price, quantity, page_view_id, is_ordered Note: This table gets 100M/day and has data for 5+years DIM_CUSTOMER customer_id, address, age, education Note: this table has 1B records We need to create geographic and demographic dashboards based on these weekly, monthly, and yearly tables, keeping in mind the huge volume of data within them for any joins
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