We will transfer your infrastructure to the cloud or data center from any platform or cloud provider - quickly, seamlessly and without data loss.
Creation of reliable graphs in real time on large amounts of data.
Centralized storage of data with the possibility of easy access to them for company employees.
Automated reporting to minimize the human factor.
Areas of use
Analysis of customer actions for personalized pricing.
Analytics on the movement of goods to optimize warehouse logistics.
Enriching the client profile to form a bonus program.
Optimization of routes to control fuel consumption.
Building the shortest routes, taking into account logistics and congestion of transport routes.
Centralized accounting of waybills by the sender.
Monitoring the state of utility infrastructure networks.
Centralized storage of readings coming from metering devices.
Forecasting the demand for energy consumption, identifying discrepancies between the plan and the fact of consumption.
An approach to building and running applications that takes advantage of the cloud model. It combines the concepts of microservices, containerization, continuous delivery, and DevOps to provide flexibility, high availability, resiliency, and mobility.
An approach to architecture in which data is stored on dedicated servers - in their own data center or in the provider's data center (translated from English "on premise" - "in the building").
Architectural platform, which is a physical server without software (operating system). Applications in it have the ability to get direct access to hardware resources, whether it be processors, RAM, GPU computing accelerators, etc.
The data lake is based on the Apache Hadoop cluster, which allows you to store almost unlimited amounts of data at low cost.
Useful terms
How data moves across the platform
Connect sources with heterogeneous data in a unified way
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Accumulate all the information you need for your data driven business in a centralized repository
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Manage data flows - from transformation to enrichment
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ITS Data Processing Platform - data factory
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Use data marts to which you can easily connect external systems for analytics, work with ML and application development
Stages of platform implementation
We build performance
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