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Multinational Insurance and Financial Services Provider Migrates Legacy Systems to Databricks

Multinational Insurance and Financial Services Provider Migrates Legacy Systems to Databricks

Multinational Insurance and Financial Services Provider migrates legacy systems to Databricks
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What Next Pathway's Multinational Insurance and Financial Services Provider Case Study covers

A Multinational Insurance and Financial Services Provider migrated legacy systems to Databricks in just 3 months. Next Pathway’s automation platform translated 20+ extract applications, delivered significant cost savings, and enabled drastic execution time reduction for large applications.

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Accelerated Databricks Migration

Next Pathway migrated legacy extract pipelines from Apache Hive, Oozie, and CA Technologies to Azure native environments using Azure Databricks and Delta Lake. Using SHIFT Cloud automation, the team translated more than 20+ extract applications within just 3 months, accelerating modernization timelines.

Cost Optimization and Performance Gains

The migration replaced a single large Hadoop cluster with multiple right sized clusters grouped by application requirements. This optimization reduced infrastructure costs, improved resource consumption efficiency, and enabled drastic execution time reduction through Delta Lake consistency and enhanced ACID transactions.

Simplified Data Operations

The new cloud architecture streamlined extract generation and reporting by enabling faster processing and improved SLA performance. A common extract template also simplified future business extract requirements while consolidating multiple technology stacks into a single target platform for lower support and maintenance effort.

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1 Billion+

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160+

Enterprise modernizations completed

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

What Industry Analysts Say

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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.

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