Prashanthi
Ramamurthy
Senior Engineering Manager at Adobe
"Supercharge your Dynamic Data Transformations at Scale with Apache Spark"
"Supercharge your Dynamic Data Transformations at Scale with Apache Spark"
24 - 5:50 PM EDT/New York (See in local time)
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05/24/2025 5:50 PM
05/24/2025 06:10 PM
America/New_York
#WTGC2025
"Supercharge your Dynamic Data Transformations at Scale with Apache Spark"
#WTGC2025
"Supercharge your Dynamic Data Transformations at Scale with Apache Spark"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Supercharge your Dynamic Data Transformations at Scale with Apache Spark"
"Supercharge your Dynamic Data Transformations at Scale with Apache Spark"
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Session: Supercharge your Dynamic Data Transformations at Scale with Apache Spark
This talk outlines our development of a scalable data transformation pipeline suitable for both batch and streaming scenarios. We'll discuss the challenges and solutions encountered while scaling to handle hundreds of terabytes daily, shifting from row-level transformations in Apache Spark to using Catalyst Expressions for complex, nested column transformations and DSL-based custom functions.Key Takeaways
- Building Dynamic Data Transformation pipelines for Big Data Processing
- Leveraging Spark internals and Spark Catalyst optimizations to achieve complex nested data transformations at scale
- Trade-offs and learnings from our journey
Bio
Engineering leader at Adobe with extensive experience in leading and architecting scalable, web applications and big data systems. In my 16+ years of experience, I have successfully delivered multiple projects from concept to customers. I am passionate about solving complex problems, designing data models and providing robust and scalable software solutions with customer focus. I am deeply committed to mentoring and actively participate in women in tech forums at various universities. Empowering and uplifting women in the tech industry is a cause close to my heart.