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Data is the key asset for every digital transformation initiative. Many projects fail because data availability and quality are assumed to be inherent. The crude reality, however, is that relevant data is usually hard, expensive and disruptive to acquire.
Datumize Data Collector (DDC) is a multi-platform and lightweight middleware used to capture data from complex, often transient and/or legacy data sources. This kind of data ends up being mostly unexplored as there are no easy and convenient methods of access.
DDC allows companies to capture data from a multitude of sources, supports comprehensive edge computation even including 3rd party software (eg AI models), and ingests the results into their preferred format and destination. DDC offers a feasible digital transformation project solution for business and operational data gathering.
DATUMIZE DATA COLLECTOR (DDC)
Distributions for Java 8 and 11. Supports common operating systems: Unix, Linux, Windows, MacOs.
Pipeline executes any code (eg JavaScript, Python, Groovy) and can call to external software (e.g .AI models) on the edge. Supports hybrid (cloud & on-premises) deployments.
Passive data capture using network sniffing and deep packet inspection. Smart active (polling) data capture. Multiple protocols, including legacy and custom/API.
Manages versioned packages (bundles) of 3rd party software (eg files, libraries, executables or containers), including remote control and monitoring metrics.
Seamlessly scales from low-cost devices (eg Raspberry Pi) to high-end multi-core servers. Near real-time data capture, compute and transformation.
Pipelines yield curated and cleansed data, to be stored in any platform or technology of customer’s choice, cloud or on-premises.
GDPR compliance. Encryption. Versioning. Different deployment and security architectures to comply with strict enterprise standards.
Cloud and modern web user interface and API: building, configuration, testing, deployment, endpoint management and monitoring.
DATUMIZE DATA COLLECTOR (DDC)
Highly valuable operational data is trapped inside machines, devices and appliances. Vendor lock-in, proprietary protocols and lack of interoperability have inhibited machine data to be used in digital transformation, eg predictive maintenance.
Legacy systems and the broad spectrum of "things", generate a huge variety of data that remains poorly explored.For example, WI-FI access points or air-conditioning units provide technical metrics often unused due to the cost and complexity of acquisition.
Unconsolidated IT landscapes with legacy systems, distributed locations and heterogeneous products are the main reason why companies still have data silos. These pose a big challenge for corporate intelligence if not succesfully tapped into.
Tons of in-transit data remain unleveraged due to black-box systems and the difficulty and cost of accessing non-persistent transactions, (eg searches, API integrations), without the hassle of new SW development or upgrades to backend systems.
DATUMIZE DATA COLLECTOR (DDC)
This company is capitalized by Innvierte, an investment program of CDTI, E.P.E.
Este proyecto ha sido cofinanciado por el Fondo Europeo de Desarrollo Regional (FEDER), dentro del Programa Operativo de Crecimiento Inteligente 2014-2020, con el objetivo de potenciar la investigación, el desarrollo tecnológico y la innovación.