WinWire > Case Studies > Hadoop to Apache Spark Migration: Accelerating Big Data Processing for a Multinational Software Firm

Hadoop to Apache Spark Migration: Accelerating Big Data Processing for a Multinational Software Firm

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 Hadoop to Apache Spark Migration: Accelerating Big Data Processing for a Multinational Software Firm - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Platform as a Service (PaaS) - Application Development Platforms
Use Cases
  • Time Sensitive Networking
Services
  • Data Science Services
The Challenge
The customer had a Big Data platform on Cloudera Hadoop On-Prem instance and wanted to migrate to Cloudera Data Platform (CDP) on Azure. They faced challenges with slower code execution speed, higher storage requirement, and difficult workflow maintenance.
The Customer

American multinational computer software company

About The Customer
The customer is an American multinational computer software company known for its innovative digital experiences.
The Solution
WinWire collaborated with the customer to convert two prioritized MapReduce jobs to Spark. The transition to Spark code improved data processing speed and reduced job execution time by over 50%.
Quantitative Benefit
  • The customer achieved a 50% reduction in job execution and processing time.

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