DataStage to Databricks Automotive Migration: Achieving 75% Automation with DataSwitch
Automotive
February 6, 2024

DataStage to Databricks Automotive Migration: Achieving 75% Automation with DataSwitch

1500+
Assets
75%
Automation
80%
Cost Savings

"Pioneering a transformative journey, a prominent US automotive giant has initiated a far-reaching digital evolution, strategically overhauling its data infrastructure. This ambitious undertaking ensures a resilient and dynamic presence in the competitive automotive market."

Business Vision

The transformation aims to modernize its ETL landscape, moving away from legacy DataStage environments to the unified Data intelligence platform, Databricks, to achieve better scalability and real-time processing capabilities.

Challenges

Legacy Demands

Existing data systems struggled to meet growing digital demands, leading to higher operational costs and hindering informed discovery.

Adaptation Hurdles

Reliant on legacy technologies, the complex infrastructure hampered quick adaptation to evolving business needs.

Modernization Urgency

The need for a streamlined digital platform to establishes modernized, high-performance data workflows was critical.

Solution Approach

  • Data Modernization with DataSwitch: Streamlined the migration from DataStage to the Databricks architecture.
  • Expert Guidance: Gains tailored professional services and dedicated platform support to address knowledge gaps.
  • DS Migrate Process Converter: Transformation of existing processes into native Databricks formats with high accuracy.
  • Efficiency Handing: Heightened efficiency in handling diverse and voluminous automotive datasets.

Value Delivered

1

1500+ Data Assets migrated seamlessly to the new architecture

2

75% Automation rate achieved throughout the migration lifecycle

3

80% Reduction in overall modernization costs

4

3 Months accelerated project timeline

5

85% decrease in processing times for actionable insights

Fast Facts

TechnologiesDataSwitch, DataStage, Databricks
Engagement ModelGlobal Digital Evolution Initiative
Key Impact85% Improvement in Insight Delivery

Conclusion

The automotive giant not only enhances operational efficiency but also positions itself as an industry leader, setting the stage for continued success. The dedication to refining services and pioneering innovations reflects a proactive stance in shaping the future landscape of the automotive sector.

Related Solutions & Products

DS Migrate

Automate database schema conversions and legacy ETL code migrations to modern cloud architectures.

Explore Product

Databricks Migration

Accelerate database and ETL migration to Databricks with up to 93% automation.

Explore Solution

Ready for similar results?

Accelerate your data modernization journey with DataSwitch’s agentic AI automation.