Automating Teradata BTEQ to PySpark: A Shipping Giant’s Databricks Migration Case Study
Shipping & Logistics
December 19, 2023

Automating Teradata BTEQ to PySpark: A Shipping Giant’s Databricks Migration Case Study

400+
Assets
80%
Automation
60%
Cost Savings

"To modernize its data infrastructure, the shipping and logistics giant aimed to optimize operational efficiency by leveraging advanced data analytics and automation technologies."

Business Vision

The strategic emphasis is on streamlining operations and achieving cost reduction; secondly, enhancing digital capacity and technological capabilities.

Challenges

Legacy System Complexity

The shipping company encountered challenges in integrating new technologies due to the intricate web of existing systems.

Knowledge Gaps

Recognizing a mismatch in skill sets, the corporation invested in training programs to bridge the gap for evolving tech demands.

Modernization Demand

The ever-changing landscape of technology demands constant adaptation, adding complexity to the data infrastructure update.

Broadest Customer Base

Managing the varied needs and preferences of an expansive and diverse global clientele presented additional strategic challenges.

Solution Approach

  • Holistic Data Modernization: Comprehensive solution encompassing data transfer, schema, and procedural frameworks.
  • Process Converter: DS Migration Process Converter specifically designed to transform Teradata BTEQs into Databricks PySpark.
  • Collaborative Engagement: Closely collaborated with the customer's internal team ensuring alignment with business goals.
  • Metadata Tooling: Enhanced and customized tools to extract critical metadata information during the transition.

Value Delivered

1

Successful migration of over 400 data assets to ADF Gen2 and PySpark

2

Modernization process completed within an impressively brief 10-month timeframe

3

Achieved a remarkable 80% automation rate for migration precision

4

Realized a substantial 60% reduction in modernization costs

5

70% reduction in processing times, accelerating time-to-insights

Fast Facts

TechnologiesDataSwitch, Teradata, Databricks, PySpark
Engagement ModelLogistics Modernization Sprint
Key Impact70% Faster Time-to-Insights

Conclusion

The shipping industry leader has undertaken a revolutionary transformation facilitated by DataSwitch, shifting from conventional legacy systems to modern technology. This significant pivot not only indicates the trajectory the industry is following but also stands as evidence of the considerable influence that innovation can exert.

Related Solutions & Products

DS Migrate

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

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