“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
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
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
Enable faster, flexible, and repeatable big data ingestion and integration.
Deliver fit-for-purpose big data with scalable, role-based data quality.
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