Query Execution Order
Darshini
Understanding the order of execution in SQL queries is essential for writing efficient and accurate database operations. SQL (Structured Query Language) processes queries in a specific logical sequence, regardless of…
Darshini
Pivoting
What is Pivoting in SQL? Pivoting is a data transformation technique in SQL where rows are converted into columns. This transformation allows you to display data in a tabular format…
Pivoting and Unpivoting
Introduction Pivoting and unpivoting are essential SQL operations that transform data structures for better insights and flexibility. These techniques are widely used in data analysis, reporting, and ETL (Extract, Transform,…
Pyspark Joins
PySpark, the Python API for Apache Spark, provides multiple join types to combine DataFrames based on specific conditions. These join types are crucial for merging datasets, performing lookups, or combining…
Pyspark cheat sheet
pyspary transformation cheat sheet
SQL Cheat Sheet
This SQL cheat sheet provides a quick reference to essential commands and concepts for efficient database querying and management. Covering topics like DDL, DML, functions, joins, and optimization techniques, it’s…
DDL-Create
The CREATE command in SQL is one of the most versatile Data Definition Language (DDL) commands. Internally, it instructs the database management system (DBMS) to allocate necessary resources, define metadata,…
Transformations Cheat Sheet
Explore a detailed comparison of PySpark transformations with a comprehensive table highlighting key points for RDD and DataFrame operations. Learn the differences, use cases, and examples for efficient big data…
SparkContext and SparkSession in Apache Spark
Both SparkContext and SparkSession are foundational elements in Spark, but they serve different purposes and evolved in different versions of Spark. Let’s break down each independently before discussing their differences.…
PySpark Transformations: RDD and DataFrame Comparison Table
Explore a detailed comparison of PySpark transformations with a comprehensive table highlighting key points for RDD and DataFrame operations. Learn the differences, use cases, and examples for efficient big data…