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Big Data Processing Platforms

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.

Business analytics

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.

Retail and E-commerce

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.

Transport

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.

Housing and communal services

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.

Data flow processing (ETL processes)

Data Sources

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").

Corporate data warehouse (Data Warehouse)

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.

Data Lake

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

Possibilities

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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“By 2024, data factories will quadruple the efficiency of working with data and halve the number of tasks people perform.”

Gartner report “Top Strategic Technology Trends for 2022”

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

OUR PLATFORM IS BUILT ON OPEN SOURCE SOFTWARE

Getting data

Data conversion

Data storage

Analytics and visualization

1. Audit of current infrastructure

Stages of platform implementation

2. Implementation plan preparation

3. Implementation of the platform in the basic configuration

4. Connecting Data Sources

5. Development of an ETL transformation.

6. Integration with data consumers.

7. Platform launch

Tell us about your setup and we'll tell you how we can help


sales@crazyops.io

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