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How to Work With DATE FORMAT: Top MySQL Examples
The content discusses various MySQL functions for date manipulation, including extraction and formatting of day, month, year, conversion of date formats, and calculations involving dates. Read More ⇢
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5 SQL Queries: You Should not Miss
The content outlines five essential SQL queries—recursive, window, self-join, aggregate filtering, and EXISTS—to improve query-writing skills for tough interviews. Read More ⇢
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How to Build SQL Query: Step-by-Step Guide
A structured method for writing SQL queries involves defining requirements, selecting key columns, planning, writing, optimizing, and testing for efficient data retrieval and modification. Read More ⇢
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PySpark Code: Calculate Click Rates and Salary Matches
The content explains PySpark code for calculating click rates and finding employees with matching salaries in the same department through self-join operations. Read More ⇢
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Understanding Shuffling: Key to PySpark Performance
Shuffling in PySpark redistributes data across partitions during wide transformations like join and groupBy. Reducing shuffling enhances performance by minimizing resource usage and optimizing data processing. Read More ⇢
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How to Resolve PySpark & SQL Puzzle: Merchant Transaction Data
The content details SQL and PySpark methods for identifying active merchants who had transactions in the last three months, emphasizing filtering and performance optimization techniques. Read More ⇢
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AWS Aurora PostgreSQL: Key Points to Know
AWS Aurora PostgreSQL is a fully managed, high-performance database service optimized for PostgreSQL, offering superior scalability and efficiency compared to traditional deployments and services. Read More ⇢
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Data Lakes vs Delta Lakes: Key Differences Explained
Data Lake stores raw data; Delta Lake adds ACID transactions and schema management; Delta Lakehouse merges data lake and warehouse features for enhanced analytics and performance. Read More ⇢
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EXL Tricky Interview Questions: SQL, PySpark and AWS
The content discusses three interview questions focusing on SQL functions, PySpark optimization strategies, and AWS S3 techniques, detailing specific challenges and solutions for data management. Read More ⇢
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