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Searching for an easy, quick & efficient
end-to-end data engineering
end-to-end data engineering
platform?
ADVANTAGES
Our end-to-end data engineering platform is the smart combination of a data lake and a data hub. It ingests data from most data sources, stores it in a data lake, and makes the data available to data consumers in a standardized and fully managed way. It gives people and applications smooth, direct, and real-time access to all the streamlined data. The platform provides a user-friendly interface while integrating with metadata management, security, and data quality tools.
Reduce implementation and integration costs, save time, and lower your risks thanks to our fully packaged platform. It implements the state-of-the-art data architecture. Deploy it, and start building your data pipelines from day 1.
Thanks to the native UI, you don’t need advanced data engineering skills or techno know-how. Save time, reduce the errors, and improve your efficiency by building your data pipelines with a visual composer directly in the end-to-end data engineering platform. The ease of use of the platform lowers the training period and eases skills transfer.
Benefit from our platform’s high robustness, performance, availability, and scalability thanks to state-of-the-art technologies, carefully tested and selected by our private research center.
Benefit from built-in end-to-end traceability, giving full transparency of data usage for each of your use cases. Implement data anonymisation and minimisation principles. Manage data to facilitate regulatory compliance.
Standardise best practices and methodology with our meta-data driven data pipelines. Automate data collection, storage, transformation, and distribution with our low to no-code approach.
Benefit from data and insights shared in real time across the company and make sure that everyone is always looking at the same data. Become data-centric and improve your business decisions.
FEATURES
integration
The integration of the end-to-end data engineering platform inside a company is done as fast as possible in the most secured environment possible. It will always be a matter of minutes only. Thanks to our state-of-the-art architecture and technology integration, you develop a production-ready data pipeline in a few minutes and deploy it in 1 click.
To ensure maximum efficiency in the integration of our end-to-end platform, we grant you access to our data lake to store the necessary data, whatever their nature or format, structured or unstructured. You can store the data in the cloud or on-premise, and you can explore both raw and historical data.
automation
Our end-to-end engineering platform fully automates the creation of your data pipelines, from data collection to transformation and distribution. Our metadata-driven configuration allows you to create these data pipelines from the platform’s UI or API, without needing any line of code. This also enables an automated promotion of data pipelines from an environment to another, moving from development to acceptance and production in a controlled and efficient way.
orchestration
To orchestrate our end-to-end data engineering platform, we use a state-of-the-art architecture and technology to manage all data flows in a smart and robust way. The platform makes sure that data is collected only once from each data source, and then distributed to many applications seamlessly. It runs on a distributed architecture, with built-in scalability and handling of hardware failures. It guarantees high performance, with low latency and high availability.
collaboration
The end-to-end engineering platform is meant to help your organisation become data-centric. It facilitates the sharing of data, making your developers and data scientists more efficient. It also provides a standard way to share cleaned data as well as insights in real time, to make sure that the whole organisation is looking at the latest information whenever it is needed. Search, find, and use the right data easily to enrich your value proposition and create added value. Let business value be a part of your data processes.
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