Flatten a Nested List Recursively in Python (Preserve Duplicates) You’ve been given a jumbled guest list where names are stored in a nested structure of lists within lists. Some guests appear more than once …
Continue ReadingGetting Started with Delta Lake and Delta Tables in PySpark Introduction Managing large amounts of data can get complicated fast. Data might arr…
Continue ReadingHandling Missing Data in PySpark Using fillna() Dealing with missing data is a fundamental part of data preprocessing to ensure your analysis and reports are reliable. In PySpark, you can remove rows with mis…
Continue ReadingCreate a round-robin schedule where each department plays with every other department exactly once. No department should play against itself, and duplicate matchups like A vs B and B vs A should be avoided. …
Continue ReadingPySpark explode(), explode_outer(), posexplode(), and posexplode_outer() Functions Explained In this post, we’ll cover everything you need to know about four important PySpark functions: explode(), explode_…
Continue ReadingI have a large text file, and I want to analyze it using PySpark to determine which word appears most frequently. Could you help me with a PySpark script Input Data: …
Continue ReadingGiven a dataset of customer transactions or movements over time, how can you determine the origin (first location) and destination (last location) for each customer using PySpark? …
Continue ReadingGiven a sales table containing transaction records for various products, write a PySpark query to find products that have exactly two transactions. For these products, return only the details of their second tr…
Continue ReadingWhen Delta tables grow large, performance issues like slow queries and increased latency can occur. Optimization involves strategies such as file compaction, data skipping, partitioning, qu…
Continue Reading📘 Table of Contents ✅ Beginner Level SQL Server Questions 🔶 Intermediate Level SQL Server Questions 🔴 Advanced Level SQL Server Questions ✅ Beginner Level SQL Server Interview Questions & Answers…
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