ESB and Data Lake for Building the Business IT Landscape

In our experience, in 90% of cases businesses build IT architectures with critical mistakes, which in turn leads to a number of complications We build IT infrastructure with ESB and a data lake through loose coupling of IT systems, which solves all of the above problems! Discuss the issue Comparison of integration types Download the material Completion time - 10 minutes

1. System load is reduced
2. Data loss is eliminated
3. Data freshness and duplication are checked, which also reduces infrastructure load

1. ESB combines data from different systems and standardizes it in the DWH. The DWH stores structured data, making it easy and fast to generate standard data slices
2. A data lake, containing raw data from all enterprise systems, makes it possible to prepare any data slice
3. Data freshness and duplication are checked, which also reduces infrastructure load. Adding new data sources is easy, and replacing the BI platform does not require complex reconfiguration

Flow orchestration Optimizes and dramatically reduces the load on IT systems - Sends data only to those who need it, and only in the required format - Takes into account optimal delivery conditions: - timing based on system load, - duplicate control, - data freshness control Discuss the issue Comparison of integration types Download the material Completion time - 10 minutes Developed a target system integration scheme for a manufacturing company.

Implemented ESB technology and launched 48 flows Point A EKF lacks an up-to-date IT integration map, system coupling is strong, the central ERP is overloaded, and delays and data loss are possible, slowing business processes. Point B A centralized system based on Pimcore has been implemented and integrated through WSO2 ESB. Product cards are standardized, data is synchronized automatically, and scalability and control are ensured through message brokers and a logging system.

Developed a single API for fast connection of more than 200 1C:Retail systems Point A Polaris manages products manually, which requires significant resources and creates challenges when working with marketplaces due to fragmented data. Point B A centralized system based on Pimcore has been implemented and integrated through WSO2 ESB. Product cards are standardized, data is synchronized automatically, and scalability and control are ensured through message brokers and a logging system.

Developed a single API for fast connection of 200+ 1C:Retail systems Point A A point-to-point integration architecture between 1C:ERP Enterprise Management and more than 200 1C:Retail systems led to overloads, stale data, and a lack of transparency. Point B Implementing a single entity-level API connector simplified data synchronization by eliminating many point connectors. Adding new retail locations is now fast, and monitoring ensures transparency and control.

For the Fix Price chain, a supplier portal was developed and work with product data was automated Point A Manual collection and transfer of product data through messengers and email led to errors and delays. There were data synchronization issues between systems. Point B Automation through Pimcore and Mule ESB. In the supplier portal, vendors enter data that is automatically transferred to the systems, improving the quality and speed of processing. The ESB bus simplifies integration and data management.

We redesigned the IT architecture and created a roadmap for its transformation for the music retail company Muztorg Point A Muztorg has problems with an outdated IT architecture, which result in high maintenance costs, inefficient system interaction, and data loss risks.

Point B A new architecture was developed with MDM and ESB solutions, making it possible to optimize information systems, ensure scalability, improve data quality, and speed up integration with external services. Implemented a scalable service bus for ATIMO Point A The ATIMO startup faced a problem scaling its system.

Each new partner required a direct connection to the database, which led to significant resource costs and higher information security risks. Point B Implementing a service bus (ESB) made it easier to connect taxi fleets, speed up data processing, reduce server load, and improve security by eliminating direct connections.

The architecture became highly scalable, which made it possible to connect 20 taxi fleets with 42 databases and significantly reduce the resources required to process each request.

Submit a request for an analysis of your situation: Discuss the issue Comparison of integration types Download the material Completion time - 10 minutes We will select proven international open-source products We use open-source solutions, so our clients reduce license costs without the risk of restrictions from the laws of different countries. A graphical studio for creating connectors A simple and flexible low-code platform that is part of Salesforce, a company with annual revenue of more than $30 million.

We use the Community Edition. Version control and access rights setup (roles) An open-source web DevOps lifecycle tool. More than 30 million registered users. Database (storage) A powerful open-source object-relational database system that has been under active development for more than 35 years. Log storage, analysis, and search Enterprise security, observability, and search solutions built on the Elasticsearch platform used by thousands of companies.

Dashboards with information on flow status A visualization and analytics system that allows you to work out of the box with a wide range of data sources. 12 2 /

We have structured the implementation process so that you get the maximum benefit. You can go through the entire journey with us. Or you can order any of the steps separately and hand the rest over to your team.