Databricks Migration Case Study

Next Pathway is an Elite Snowflake Partner, trusted by global enterprises to deliver end-to-end modernization, from deep discovery to production cutover.

North American Pharmaceutical Company Migrates from Hadoop, DataStage & Talend to Databricks

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What Next Pathway's North American Pharmaceutical Company Case Study Covers

A North American Pharmaceutical Company migrated Hadoop, IBM DataStage, and Talend to Databricks. Next Pathway’s automation platform delivered migration planning across legacy environments, automated code translation for Teradata and Hadoop workloads, and conversion of DataStage and Talend ETL jobs to cloud native PySpark running on Databricks.

From Legacy Complexity to Business Outcomes

Migration Planning and Dependency Analysis

Next Pathway configured CRAWLER360 to scan and crawl legacy Hadoop and Teradata environments. The platform identified lineage and dependencies between tables and applications, organized migration waves, and mapped the correct tables for each test pipeline.

Automated Hadoop and Teradata Translation

Using SHIFT Translator, Next Pathway translated Teradata SQL workloads and Hadoop code based on predefined migration waves. The project also included conversion of Teradata BTEQ and SQL scripts to Python, translation of embedded SQL to TSQL, and 4 point QA testing for work units.

Cloud Native ETL Modernization

Next Pathway translated IBM DataStage and Talend ETL jobs to cloud native PySpark running on Databricks. The migration included Teradata and Hive source and target connectors, embedded SQL, and transformation logic required to modernize enterprise data pipelines.

1 Billion+

Lines of code translated automatically

160+

Enterprise modernizations completed

80%

Faster time-to-market for AI-ready infrastructure

Latest Snowflake Case Study

Next Pathway helped a UK-based asset management leader migrate from Azure Synapse and Azure Data Factory to Snowflake with zero business disruption and 100% automated code translation.

Read the case study to see how Next Pathway delivered:

End-to-end migration completed in just 10 months

100% automated code translation with SHIFT

Seamless compliance and financial reporting throughout cutover

Real-time analytics and AI-ready data on a unified platform

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What Industry Analysts Say

Rob Enderle

ENDERLE GROUP

"Next Pathway is providing a solution that accelerates the migration process, giving organizations a faster route to realizing value from their data."

Eric Kavanagh

THE BLOOR GROUP

"SHIFT Cloud enables a remarkably swift and robust transition from traditional data warehousing to the cloud."

What a structured Snowflake migration covers

A successful migration to Snowflake requires a clear plan across four disciplines.

Discovery and dependency mapping

Every code object, ETL pipeline, and data dependency needs to be identified and documented before migration begins. Hidden complexity discovered mid-migration creates delays and risk.

Code translation and modernization

Legacy SQL, stored procedures, and ETL pipelines must be converted into optimized, Snowflake-native workloads. Automated translation eliminates manual rework and ensures full coverage.

Validation and functional parity

Every migrated workload must be validated against the legacy source to confirm data accuracy and functional equivalence before cutover. 100% parity is not optional.

Production cutover planning

Cutover requires a defined plan covering resource allocation, rollback decisions, and business sign-off. Teams that plan cutover from the start move faster and with greater confidence.

Latest Insights on Modernization

How Complete Data Ecosystem Visibility Unlocks Modernization at Scale

Cloud Migration

Hadoop, IBM DataStage & Talend to Databricks

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What Next Pathway's North American Pharmaceutical Company Case Study Covers

Migration Planning and Dependency Analysis