Fast data integration + improved data governance and security, with no infrastructure to buy or manage.
Fast data integration + improved data governance and security, with no infrastructure to buy or manage.
Latest MarkLogic releases provide a smarter, simpler, and more secure way to integrate data.
Latest MarkLogic releases provide a smarter, simpler, and more secure way to integrate data.
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AIRBUS produces 60 aircraft each month. Flight tests are essential to ensure safety, reduce costs, drive maturity of products, and reduce cycles of aircraft certification—the latter of which can take months to complete. AIRBUS is reducing these cycles and optimizing each flight with a MarkLogic Data Hub on AWS.
Two years ago, they used to do time-consuming, flight-by-flight analysis. Today, they can compare thousands of tests quickly—this is part of the multi-flight analysis revolution.”
With a MarkLogic Data Hub on AWS, AIRBUS is reducing the costs and time of flight tests. MarkLogic helps makes information more discoverable than its previous system, which makes tests more efficient—if necessary at all. Additionally, MarkLogic ensures a secure platform for AIRBUS to conduct these sensitive operations.
AIRBUS is leveraging MarkLogic’s multi-model data platform for rapid information ingestion, integration and discovery, as well as MarkLogic Semantics to link data and events in order to provide a comprehensive picture of tests and results. To keep this data safe in AWS, AIRBUS implemented MarkLogic Advanced Encryption and MarkLogic’s Element-level Security. The solution allows AIRBUS to optimize flight hours, provide operational data during conception phase, ease analysis to improve aircraft maturity and create predictive models before delivery.
With MarkLogic, AIRBUS has reduced the time it takes to discover information from months and weeks to minutes.
AIRBUS can search data without coding, and claims, “almost anybody can use it.”
In addition to making data more discoverable, AIRBUS has also made it re-usable. Data can now be applied to future tests, which improves time-to-knowledge.
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