Finterlabs Platform

Technologies using Machine Learning Algorithms

Voluminous data cannot be adequately analyzed using traditional data warehousing and data management. We develop data management with stakeholders that aim of increasing the availability, scalability, performance, and security of vendors that integrated with us.

This platform is designed to handle extremely large datasets that are multi-structured in real time. It can be used to carry out different tasks by different users and businesses. Our customers can use the platform to clean, aggregate, and prepare data for analytics, while analyzing. We set large dataset using machine learning algorithms.

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Our Feature Can Handle Your Business Growth and Providing Deeper Insights About The Business Situation

Batch Ingestion

Receive data, either in real-time or in batches. This component also allows users to store and access data.

Stream Ingestion

This features can pull in streams of data, processing the data and streaming it back out as a single flow using Nifi and Micro Services based.

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