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30 INTERVIEWS IN 30 DAYS BIG DATA INTERVIEW SERIES

This mock interview series is launched as a community initiative under Data Engineers Club aimed at aiding the community's growth and development

Ganesh Kudala,   / ganeshkudale50bb14ab   our seasoned guest interviewer, offers invaluable insights and practical advice drawn from his extensive experience in the Big Data domain.

Our proficient guest interviewee, SreeLakshmi Gosala,   / sreelakshmigosala   demonstrates an exceptional approach to tackling coding round interview questions in PySpark.

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Timestamp : Questions Discussed
1:10 Introduction
2:38 Differences between Spark Core APIs and HigherLevel APIs?
5:00 RDD vs DataFrames vs Spark SQL: Which is the recommended approach in Spark?
6:22 What is a DAG? When is a DAG executed?
8:44 Explain Spark's job, stages, and tasks.
10:00 How does Spark execute a job from action invocation?
11:32 How to determine the number of partitions in a dataframe?
13:00 Pyspark Coding Question
18:03 Which is more efficient: inferring a schema or enforcing it?
20:06 Ways to enforce a schema?
24:05 DataFrame Read Modes?
26:00 DataFrame write modes?
28:04 What is Databricks, and what advantages does it offer over plain vanilla versions?
29:50 Explain medallion architecture in detail ?

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