<img alt="" src="https://secure.rate8deny.com/219096.png" style="display:none;">

Global Financial Services Company Migrates from Hadoop to Azure Databricks and
Azure Data Factory

Global Financial Services Company Migrates from Hadoop to Azure Databricks and Azure Data Factory

Global Financial Services Company Migrates from Hadoop to Azure Databricks and Azure Data Factory
Download Your Free Case Study

Complete the form below to get instant access to Hadoop to Azure Databricks and Azure Data Factory

By providing information in this form, you agree to Next Pathway’s Privacy Policy

What Next Pathway's Global Financial Services Company Case Study covers

A Global Financial Services Company migrated Hadoop to Azure Databricks and Azure Data Factory as part of its cloud modernization initiative. Next Pathway’s automation platform translated HQL, Shell, and Python workloads to Databricks, modernized Apache Hive based data pipelines, and established reusable Databricks integration frameworks for future migrations.

d5ec1934-3478-43ae-9bef-1a9ed1fe5801

Hadoop Pipeline Modernization

The company engaged Next Pathway to migrate legacy Hadoop based data pipelines and applications to Azure cloud services. Existing Apache Hive and CA scheduling tool workloads were modernized for Azure Databricks and Azure Data Factory to support scalable cloud native operations.

Automated Code Translation

Using SHIFT Cloud, Next Pathway translated legacy HQL code to Databricks Spark SQL along with Shell and Python scripts to Databricks compatible frameworks. The migration accelerated cloud adoption while preserving orchestration logic and existing application workflows.

Reusable Databricks Integration Framework

Next Pathway implemented connectivity between PowerShell and Databricks through the Databricks CLI to streamline orchestration and integration. The resulting framework established a reusable migration model for future cloud modernization projects across the organization.

billion-Icon

1 Billion+

Lines of code translated automatically

160-Icon

160+

Enterprise modernizations completed

80-Icon

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
Download Case study
British Asset Management Firm Migrates from Azure Synapse and Azure Data Factory to_Cover

What Industry Analysts Say

Image (Rob Enderle)
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
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

Cloud Migration Resources

No Posts Found

Start Your Snowflake Modernization

Thinking beyond migration? 
We help you modernize your data platform, end to end.

Contact sales