DNV GL is a provider of risk management and quality assurance services, headquartered in Høvik, Norway. It is also a global leader in certifying management systems of companies across industries. The company has 14,500 employees and 350 offices operating in more than 100 countries.

“Informatica Data Engineering Integration [formerly known as Big Data Management or BDM] allowed us to digitalize our maritime surveys, reducing the inspection process for a fleet of vessels from 30 days to one day.”

Jørgen Stang, Data Scientist, DNV GL


Business Need

Manage data engineering and big data workloads both on-premises and in the cloud

Provide a consistent visual development interface as technologies change

Constantly integrate maritime data from more sources, including IoT



Create new digital processes and revenue streams based on digital assets and Internet of Things (IoT) sensors on energy infrastructure and maritime vessels

Compress development cycles and scale digital services up and down as needed to satisfy fluctuating customer demand while controlling costs

Ensure that data from any source can be trusted, verified, and compliant with the ISO 8000-8 international data quality standard


Solutions & Results

Connect an Azure-based data platform, on-premises data centers, a Cloudera Hadoop ecosystem, and IoT devices with Informatica Data Engineering Integration (DEI, formerly known as Big Data Management or BDM)

Automate the deployment and management of Apache Hadoop clusters with Databricks Unified Analytics Platform, which integrates with Informatica DEI

Verify data from databases, APIs, email, flat files, and event hubs with Informatica Data Engineering Quality [formerly known as Big Data Quality] before processing

Enables the creation of new digital services to increase energy efficiency, reduce emissions, improve grid stability, and accelerate ship inspections up to 30x

Accelerates developer and data engineering productivity and reduces costs by scaling clusters up and down automatically

Allows DNV GL to treat data as an asset, a prerequisite for success in a data-driven future, while remaining compliant with international standards


Products & Services

Data Engineering Integration

Enable faster, flexible, and repeatable big data ingestion and integration.

Data Engineering Quality

Deliver fit-for-purpose big data with scalable, role-based data quality.

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