UDF vs Inbuilt Functions in PySpark — The Simple Guide
August 20, 2025
If you’re working with PySpark, you’ve probably asked yourself this at some point: “Should I use a built-in function or just write my own?” Great
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Data Engineering
Apache Spark 4.0’s Variant Data Types: The Game-Changer for Semi-Structured Data
August 20, 2025
As enterprises increasingly rely on semi-structured data—like JSON from user logs, APIs, and IoT devices—data engineers face a constant battle between flexibility and performance. Traditional
Ensuring Data Quality in PySpark: A Hands-On Guide to Deduplication Methods
August 14, 2025
Identifying and removing duplicate records is essential for maintaining data accuracy in large-scale datasets. This guide demonstrates how to leverage PySpark’s built-in functions to efficiently
Bulk API : An inevitable gamechanger
August 14, 2025
Essence: As businesses grow and handle ever-larger datasets, the demand for efficient data synchronization and management tools becomes increasingly essential. “Salesforce offers a robust ecosystem
Unleashing the Power of Explode in PySpark: A Comprehensive Guide
August 7, 2025
Efficiently transforming nested data into individual rows form helps ensure accurate processing and analysis in PySpark. This guide shows you how to harness explode to
The Power of Timezone Conversion in PySpark: Boost Business Efficiency and Insights by Localizing Timestamps
November 13, 2024
In today’s increasingly globalized business landscape, data doesn’t operate within a single timezone. Whether you’re tracking e-commerce transactions, customer service interactions, or website activity, timestamps