Airline safety management: enhance your SMS with IOblend
Today we are looking at the data aspect of flight safety management in the aviation industry.
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Unlock new capabilities with real time ACARS data
In this short article we are looking at one of the key data sources for the aviation industry – ACARS – and how IOblend helps to unlock new analytical capabilities from it.
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Time to automate your airline’s DOC data
How to automate Direct Operating Cost (DOC) data collection, processing and serving with IOblend.
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Automate airline fuel data collection & management
Collecting and managing airline fuel data is complex and time consuming. IOblend can greatly streamline the process and enable real-time decisioning.
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The Data Mesh Gotchas!
I think most practitioners in the data world would agree that the core data mesh principles of decentralisation to improve data enablement are sound. Originally penned by Zhamak Dehghani, Data Mesh architecture is attracting a lot of attention, and rightly so. However, there is a growing concern in the data industry regarding how the data
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IOblend Data Mesh
IOblend Data Mesh – power to the data people! Analyst engineering made simple Hello folks, IOblend here. Hope you are all keeping well. Companies are increasingly leaning towards self-service data authoring. Why, you ask? It is because the prevailing monolithic data architecture (no matter how advanced) does not condone an easy way to manage the
Data lineage is a “must have”, not “nice to have”
Hello folks, IOblend here. Hope you are all keeping well. There is one thing that has been bugging us recently, which led to the writing of this blog. While working on several data projects with some of our clients, we observed instances when data lineage had not been implemented as part of the solutions. In
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Welcome to the IOblend blog
Welcome to the IOblend blog page. We are the creators of the IOblend real-time data integration and advanced DataOps solution. Over the many (many!) years, we have gained experience and insight from the world of data, especially in the data engineering and data management areas. Data challenges are everywhere and happen daily. We are sure,
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