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Technology

What’s Under the Hood

What makes us that great?

Metrolink is 100% generic and can be used for all business verticals and any business use. The variety of connectors & loaders easily connect the platform to any database, file system, and data stream the organization uses. It also comes as a package, embedded and integrated with the needed services, making it any cloud and on-prem ready. Our design & deploy platform seamlessly creates and adjusts the pipeline from a sketch to a fully operational workflow as easy as clicking a button. It truly optimizes the data scientists’ time and allows them to refocus on what really matters: Data Science. The platform leverages trial and error methods for “design & debug” with its onboard unique probing tool.

Metrolink’s high-performance data containers implement the designed data manipulation with filtration, transformation, enrichment, and correlation tools, towards the desired pipeline logic. Data manipulation along the pipeline improves efficiency and performance (ex – saving read/write events to the database). We are a No-Code foundation [with Code implementation for advanced users].

Finally, Metrolink is a self DevOps implementation, deployment, and maintenance platform, saving time and dependency on IT procedures.

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Metrolink Advantages

UI

Intuitive, adaptive, built for everyone use

UI

An advanced UI, which allows anyone interested in using data to turn the logical process in which he thinks about the business question into a data pipeline. The data pipe is designed in a drag & drop configuration without the need to write code, with the implementation being carried out automatically at the click of a button.

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High Performance

Built to handle high volume data and complex data pipelines

High Performance

Advanced technological architecture, using appropriate code languages, enabling the complexity of different data sources, different flow rates and high volumes without compromising performance across all components of the data pipeline.

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Multiple Data Sources

Dealing with all types of data - rest & stream

Multiple Data Sources

The understanding that stream data sources are becoming increasingly common with the continued existence of rest data sources has necessitated the development of dedicated components that will enable dealing with all existing types of data. The infrastructure enables future, relatively simple, dealing with other types of data as well.

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Transformation

Advanced manipulation capabilities on the data using state-of-the-art transformation capabilities

Transformation

Advanced transformation tools that enable all the activities required to produce the dataset for different needs. The tools include filtering, aggregation, mapping, enrichment, distribution and correlation capabilities, suitable for a wide range of use cases.

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It's easy with Metrolink

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