Live Big Data Mock Interview | Technical Round 2 : PySpark | Slowly Changing Dimensions | Data Skew

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𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐧𝐤 (𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐟𝐫𝐨𝐦 𝐈𝐧𝐝𝐢𝐚) : rzp.io/l/SQLINR
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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
Our highly experienced guest interviewer, Hitesh, / hitesh1234 shares invaluable insights and practical guidance drawn from his extensive expertise in the Big Data Domain.
Our expert guest interviewee, Kunal Choudhary, / kunalchoudhary20 has an interesting approach to answering the interview questions on Apache Spark.
Link of Free SQL & Python series developed by me are given below -
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TIMESTAMPS : Questions Discussed
00:00 Introduction
01:50 Project Responsibilities
06:06 Spark Optimization
07:50 ETL Fact Types
08:50 Slowly Changing Dimensions
10:21 Multi-Media Data Collection and Aggregation
11:34 Pyspark Internal Architecture
12:26 Pyspark Catalyst Optimizer
15:17 Handling Data Skewness in Pyspark
16:40 Removing Duplicates in Spark
17:45 Coding Questions
27:50 Project Architecture Redesign
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[@user-ij4ih8qp3e]

thank u sir.

[@rajeshd9925]

Window function will helps to solve this pyspark code.

[@varadpadalkar4879]

Sir, Can you please share the pyspark code of that problem?