PySpark Interview Questions (2025) | PySpark Real Time Scenarios

PySpark Interview Qustions (2025) | PySpark Real Time Scenarios | Databricks Interview Questions Welcome to our 4+ hour video on PySpark Interview Questions, where we dive deep into real-time scenarios to equip you with the knowledge and confidence needed to excel in your PySpark Interviews including PySpark Coding Questions and Conceptual Questions. What You'll Learn: - Real-Time Scenarios: Tackle practical interview questions that reflect real-world challenges in data engineering. - Delta Lake: Understand how Delta Lake enhances data reliability and performance in your PySpark applications. - Spark Structured Streaming: Learn how to implement real-time data processing solutions using Spark Structured Streaming. - Spark Architecture: Gain insights into the architecture of Spark and how it efficiently processes large datasets. - Spark Cluster: Explore the components of a Spark cluster and their roles in distributed computing. - SparkSQL: Master querying data with SparkSQL to perform complex data manipulations. - File Formats: Discover the various file formats supported by Spark and their appropriate use cases. Azure End To End Data Project : https://youtu.be/6_hXeNg9TJ0?si=9naCovTmgcZn0NQQ Databricks Tutorial : https://youtu.be/P5pEeR3xQpI?si=XbQYrYkrVp2jKjfE PySpark Full Course : https://youtu.be/94w6hPk7nkM?si=Y2EUnifXrZRK3MOj Notebook Link - https://github.com/anshlambagit/PySparkInterview Telegram Channel - https://t.me/anshlambadatafam Telegram Group - https://t.me/+9jR_HQ4YhBMzY2Q1 Connect with ME - https://www.linkedin.com/in/ansh-lamba-793681184/ Timestamps: 0:00 Introduction 14:55 Databricks Free Account 17:02 Databricks Overview 19:00 PySpark Real Time Scenarios 38:44 Apache Spark vs Hadoop MapReduce 44:35 PySpark Structured Streaming 49:45 Window Functions using PySpark 57:54 Date Functions in PySpark 1:04:18 Array Functions in PySpark 1:09:45 PySpark Advanced Level Interview Questions 1:36:22 Spark Context 1:37:31 Spark Architecture 1:41:35 Slowly Changing Dimension using Pyspark 1:48:00 Data Ingestion using InferSchema 1:50:20 Data Reading with PySpark 1:51:12 RDDs VS Dataframe VS Dataset 1:57:26 PySpark Query Optimization 2:05:08 Narrow VS Wide Transformations in PySpark 2:18:36 PySpark Aggregation Functions 2:21:06 Conditional Functions 2:28:08 Spark SQL 2:33:08 Temp Views in SparkSQL 2:37:25 Data Writing in Partitions 2:42:08 Spark Optimization using Delta Lake 2:47:53 Broadcast Variables 2:50:58 Lazy Evaluation in Spark 2:54:04 Delta Lake Benefits 3:01:11 Adaptive Query Execution (AQE) in PySpark 3:07:14 Salting in Spark 3:08:42 Broadcast Join in Apache Spark 3:12:46 Time Travel in Delta Lake 3:19:21 PySpark Real Time Interview Questions Please Hit the SUBSCRIBE button❤️to support me and my hard work. ⭐Hashtags⭐ #pyspark #databricks #azure #dataengineering #interview