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- Memory Management in PySpark- CPU Cores, executors, executor memory
- Memory Management in PySpark- Scenario 1, 2
- Develop and maintain CI/CD pipelines using GitHub for automated deployment, version control
- Complete guide to building and managing data workflows in Azure Data Factory (ADF)
- Complete guide to architecting and implementing data governance using Unity Catalog on Databricks
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Month: April 2024
Functions in Python- Definition Functions in Python are blocks of code that perform a specific task, and they can be defined using the def keyword. Function template Definition: Function Call: Function Name: Parameters Function Body Docstring Return Statement Pass Statement Lambda Functions Default Argument Values Variable-Length Arguments Keyword-Only Arguments Python 3.x Example: Combination of *args,…
Indexing is one of the most important SQL performance optimization techniques. When used correctly, it drastically improves read/query speed—especially for large tables. ✅ What is an Index in SQL? An index is a data structure (usually B-Tree) that allows fast access to rows based on key column values, like a book’s index. Think of it…
Normalization and denormalization are two opposing database design techniques aimed at achieving different goals. Let’s explore each concept: Normalization: Normalization is the process of organizing the data in a database to minimize redundancy and dependency. The main objective of normalization is to ensure data integrity and reduce anomalies during data manipulation. Normalization typically involves dividing…