Data Engineering & Governance

Data You Can Trust, Ready for Analytics and AI

We modernize data platforms, migrate legacy systems and put governance in place, so every decision runs on accurate, secure data.

Google CloudAzureSnowflakeData MigrationGovernance
Data Engineering & Governance at Upen Group: A modern data platform: frosted glass database cylinders feeding glowing pipelines into a central governed data lake hexagon with shield and catalog icons
Overview

From Scattered Data to a Governed Foundation

Data engineering builds the pipelines and platforms that collect, transform and deliver data; data governance defines the policies that keep it accurate, consistent and secure. Upen Group delivers both, so your analytics, reporting and AI initiatives rest on a trusted foundation.

Adopting modern cloud data technologies unlocks advanced data management, analytics and machine learning, with the performance and cost reductions business leaders expect. Our cloud architects and big data engineers migrate legacy data systems to platforms such as Google Cloud, Microsoft Azure and Snowflake using automation that reduces migration time and cost.

We work closely with clients to identify their data needs, design customized solutions and implement the policies and procedures that make data a dependable asset.

Our methodology

The HIVE Methodology

A proven four-stage approach for migrating and modernizing data platforms with confidence.

01

Holistic Study

Understand your data landscape, sources, consumers, quality issues and business goals before anything moves.

02

Integration

Design and build pipelines that bring data together on a modern, governed platform.

03

Validate

Reconcile and test data against source systems so every report can be trusted.

04

Enhance

Optimize performance and cost, and add analytics and machine learning on the new foundation.

Platforms

Expertise in Migrating Legacy Data Systems

We move data warehouses and legacy platforms onto modern cloud data platforms, with automated tooling that reduces time and cost.

Google Cloud BigQueryMicrosoft AzureSnowflakeAWSHive & SparkSQL ServerOracleTeradata
FAQ

Frequently Asked Questions

Still have questions? Our team replies within one business day.

Contact Us →
What is the difference between data engineering and data governance?
Data engineering builds and runs the pipelines and platforms that move and transform data. Data governance sets the policies, roles and controls that keep data accurate, secure, compliant and well understood.
What is Upen Group's approach to data engineering and governance?
Our approach is rooted in best practices and a deep understanding of data management. We identify your data needs, design customized solutions, and implement policies and procedures that keep data accurate, consistent and secure, using our HIVE methodology: Holistic study, Integration, Validate and Enhance.
How do I migrate a data warehouse to Google Cloud?
Data warehouse migration is usually a phased journey rather than a one-time event. It starts with assessing sources and dependencies, then migrating schemas, pipelines and data in waves, validating results against the source, and optimizing on the new platform.
Which data platforms do you work with?
We work with Google Cloud (including BigQuery), Microsoft Azure, Snowflake and AWS, and migrate from legacy platforms such as on-premises databases, Hive and Hadoop environments.

Turn Your Data Into a Trusted Asset

Tell us where you are today and what you want to achieve. We will come back within one business day with next steps.

Talk to an Expert →
+1 469-333-7815
Mon–Fri, 9 am–5 pm CT
4322 N Beltline Rd, Suite B214
Irving, TX 75038

Last updated: October 2, 2026