Case Study: Garan Achieves 100x Faster Big Data Processing with ScienceSoft

Garan speeds big data reporting 100x with ScienceSoft

Garan, a US-based apparel manufacturer and retailer, faced severe delays in its business-critical sales reporting as its on-premises big data solution could not efficiently process over 300GB of daily data. To address the performance bottlenecks without a disruptive overhaul, Garan engaged the consulting services of ScienceSoft for an audit and optimization strategy.

ScienceSoft conducted a six-week consulting engagement, guiding Garan's IT team to implement key optimizations including efficient partitioning, switching to the Tez execution engine, fine-tuning Hive and Spark, and optimizing data storage. These changes led to a 100x faster data processing speed, reducing report generation from hours to minutes. ScienceSoft also provided a detailed roadmap for a future cloud migration, setting the foundation for a gradual system revamp.

Garan