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Telecommunications and Media company migrates from Hadoop, Oracle and Informatica to Microsoft Azure

Telecommunications and Media company migrates from Hadoop, Oracle and Informatica to Microsoft Azure

Telecommunications and Media company migrates from Hadoop, Oracle and Informatica to Microsoft Azure
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What Next Pathway's Telecommunications and Media Company Case Study covers

A Telecommunications and Media Company migrated Hadoop, Oracle, and Informatica to Microsoft Azure in just 8 weeks. Next Pathway’s automation platform analyzed more than 5 million Oracle database objects, 2 million Hadoop DDL and DML objects, and 15,500 Informatica workflows to deliver a data driven migration strategy and cloud modernization roadmap.

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Enterprise Scale Migration Assessment

Next Pathway helped the company plan a large scale modernization initiative involving Hadoop clusters, Oracle Exadata environments, and Informatica PowerCenter ETL pipelines. The migration strategy focused on moving key analytics and data science capabilities to Microsoft Azure.

Automated Dependency and Lineage Analysis

Using Crawler360 technology, Next Pathway scanned legacy systems to identify migration scope, interdependencies, and lineage across millions of database objects and ETL workflows. The analysis included Hadoop Hive objects, Oracle database objects, stored procedures, and thousands of Informatica transformation and consumption workflows.

Data Driven Azure Migration Strategy

Within 8 weeks, Next Pathway delivered a detailed migration strategy and phased execution roadmap designed to reduce migration risk and accelerate cloud adoption. The migration plan defined what to migrate, where to begin, and how to sequence modernization activities across the enterprise data ecosystem.

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1 Billion+

Lines of code translated automatically

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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
Download Case study
Snowflake Modernization Guide

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.

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