Cloud Migration Case Study: Insurance company migrates their SSIS Data Warehouse to Azure Data Factory on Snowflake
Next Pathway provides a comprehensive range of “end-to-end” migration services, designed to support and guide our clients from planning to production cut over.
Accelerate Your SSIS Data Warehouse Migration to Azure Data Factory on Snowflake
Discover how to efficiently modernize your data infrastructure:
- Streamlined Migration Process
Our team leveraged the SHIFT Cloud code translation tool to seamlessly convert Informatica workflows to Azure Data Factory (ADF). - Comprehensive Modernization
We successfully transformed legacy Informatica processes, integrating them with Snowflake's cloud data warehouse and ADF for enhanced ETL operations. - Impressive Results
In just six months, we translated over 2,400 Informatica Intelligent Cloud Services (IICS) objects, demonstrating the efficiency and scalability of our approach.
Download our detailed cloud migration case study to learn how we helped a multinational insurance provider transition from Hadoop to Azure Databricks and Azure Data Factory.
DOWNLOAD FREE
Case Study
By providing information in this form, you agree to
Next Pathway’s Privacy Policy
Snowflake Data Migration Checklist
Learn How to Accelerate Your Data Migration to Snowflake
Download our free guide to find out how
SHIFT Product Platform accelerates your migration to Snowflake by automating each key phase.
Accelerate Your Migration to Snowflake
Download Our Free Step-by-Step Checklist
Testimonies About Our Migration Technology
Charles Araujo
PRINCIPAL ANALYST, INTELLYX“Next Pathway simplifies the cloud migration process so its clients can transform and optimize their workloads to meet changing business requirements while they migrate them.”
Eric Kavanagh
PRINCIPAL ANALYST, THE BLOOR GROUP“Next Pathway created SHIFT Cloud - a code translation engine that enables a remarkably swift and robust transition from traditional on-prem data warehousing, to the new reality in the cloud.”
Latest Snowflake Articles
.png?width=1920&height=1080&name=Blog%20and%20Post_Chetan%20Mathur_High-Performance%20Real-Time%20Processing%20with%20Snowflake_Feb%202024%20(1).png)
High-Performance Real-Time Processing with Snowflake: An In-Depth Exploration of Accelerated Data Migration and Enhanced Management
For organizations that have adopted a ‘Cloud First’ strategy, one of the biggest challenges will be the migration of data from legacy databases and ETL systems. The migration of legacy data
.png?width=1920&height=1080&name=Blog%20Covers_The%20best%20practices%20for%20migrating%20data%20and%20code%20to%20Snowflake_JAN%202024%20(2).png)
The Best Practices For Migrating Data And Code To Snowflake
Businesses are constantly evolving and updating their processes to stay competitive. However, many organizations still rely on legacy applications that were developed decades ago.
.png?width=1920&height=1080&name=Blog%20Cover_Streamlining%20Cloud%20Migration%20to%20Snowflake%20-%20Leveraging%20Next%20Pathways%20SHIFT%20Cloud%20and%20Snowflakes%20Data%20Cloud%20Ecosystem%20(sept%202024).png)
Streamlining Cloud Migration to Snowflake: Leveraging Next Pathway's SHIFT Cloud and Snowflake's Data Cloud Ecosystem
In the rapidly evolving landscape of data management, organizations are constantly seeking innovative solutions for efficient ETL (Extract, Transform, Load) pipeline processing and analysis.