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National Telecommunications Company Migrates From Hadoop to Azure Synapse and
Databricks Delta Lake

National Telecommunications Company Migrates From Hadoop to Azure Synapse and Databricks Delta Lake

National Telecommunications Company Migrates From Hadoop to Azure Synapse and Databricks Delta Lake
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What Next Pathway's National Telecommunications Company Case Study covers

A National Telecommunications Company migrated Hadoop to Azure Synapse and Databricks Delta Lake in just 12 weeks. Next Pathway’s automation platform translated and migrated more than 2.5 million lines of Hive code, optimized PySpark and Scala jobs for Databricks, and enabled rapid modernization of the enterprise data lake while avoiding multi year Hadoop support costs.

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Large Scale Hadoop Code Migration

Next Pathway translated and migrated more than 2.5 million lines of Hive code to Databricks Delta Lake and SparkSQL as part of the enterprise data lake modernization initiative. The migration accelerated the transition from legacy Hadoop systems to a modern Azure based cloud architecture.

Databricks Optimization and Automated QA

The project optimized PySpark and Scala jobs for Databricks while leveraging SHIFT Cloud for automated code conversion and 4 point QA unit testing. Testing included compile validation, false positive analysis, early performance deficiency checks, and data comparison testing within the client environment.

Rapid Cloud Modernization and Cost Savings

Within just 12 weeks, the client launched a modern cloud data platform on Azure Synapse and Databricks Delta Lake. The migration reduced long term operational costs by eliminating the need to support and maintain aging Hadoop infrastructure for the enterprise data lake environment.

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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
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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