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.
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.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
80%
Faster time-to-market for AI-ready infrastructure
Latest Databricks Case Study
Next Pathway helped a multinational insurance and financial services provider migrate legacy Hadoop-based extract applications to Azure Databricks and Delta Lake in just 3 months using automated code translation.
Read the case study to see how Next Pathway delivered:
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What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
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THE BLOOR GROUP
What a Structured Azure Synapse Migration Covers
A successful Azure Synapse migration requires a structured approach across four key phases to reduce risk, accelerate delivery, and ensure a seamless transition.
Discovery and Migration Assessment
Identify databases, ETL pipelines, SQL code, and dependencies before migration. A thorough assessment uncovers complexity, estimates effort, and prioritizes workloads for a successful Azure Synapse migration.
Code and Data Modernization
Legacy SQL, ETL workflows, stored procedures, and data models are converted into Azure Synapse–optimized workloads. Automated conversion reduces manual effort, improves accuracy, and speeds migration.
Migration Validation and Testing
Validate every migrated workload for data accuracy, functional equivalence, and performance. Reconciliation, regression, and performance testing ensure Azure Synapse is production-ready before go-live.
Deployment and Production Cutover
Execute migration with a structured cutover plan covering deployment, rollback, business validation, and post-migration monitoring. A planned cutover minimizes downtime and ensures a confident transition to Azure Synapse.
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