Srinimf

Building Scalable Data Pipelines with dlt-meta: A Metadata-Driven Approach on Databricks

Dec 9, 2025

·

databricks

How to Check Valid Date in PySpark: 4 Top Methods

The post outlines various methods to validate dates in PySpark using functions, UDFs, SQL queries, and DataFrame filtering. Read More ⇢
PySpark When Check Numeric of Column [Tested]

The post explains how to use PySpark to check if input values are numeric using when condition. Read More ⇢
PySpark ETL Logic [Working Solution]

This content discusses implementing ETL logic (also known as SCD Type2) using PySpark in 4 simple steps for data comparison. Read More ⇢
SQL Query to Find NULL and Non-null Percentage of Column

SQL queries can find the Null and Non-null percentages of a column to analyze data in real-time. Read More ⇢
AWS Glue Job Trigger: Troubleshooting Common Issues

Investigate configuration errors, resource limits, permission issues, dependency failures, and logging to troubleshoot AWS Glue job triggers. Read More ⇢
MySQL Vs PostgreSQL: Top Differences

MySQL is known for simplicity, speed, and read-heavy operations, while PostgreSQL offers advanced features, data integrity, and write-heavy support. Read More ⇢
Easy Ways to Work With XML Files: Python

This content explains two methods for working with XML data in Python, including parsing XML strings and files. Read More ⇢
5 Nice Ways to Convert String to Matrix: Python

In Python, a string can be converted to a matrix in various ways, such as lists, NumPy arrays, or DataFrames. Read More ⇢
3 Ways to Blind[Masking] a Field in Python

This content covers the techniques of masking, encryption, and hashing to protect sensitive data effectively in software. Read More ⇢