Integrating Talend ESB into the IT infrastructure of a logistics company
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Solutions
We implement Data Lake and Data Warehouse
A transition plan tailored to your business specifics
Clients and partners
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Using an ESB-based approach to data exchange, we create a shared enterprise repository for quickly connecting analytics and reports.
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Comparison table of integration types. Data Warehouse is a repository of structured data across the entire enterprise.
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It consists of storage for different objects (orders, prices, products, etc.).
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The data structure is defined in advance.
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After all, the business knows which systems are used and how they are used for current needs.
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The repositories are independent of one another and can run on different servers in different locations.
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So if any one of them fails, it will not cause problems for the others. Data Warehouse makes it easy to connect any analytics system.
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Data can be easily filtered by open fields and searched for the required objects. Data Warehouse improves data exchange between IT systems: 1.
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Reduces coupling between system changes; 3.
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Allows data to be aggregated and transformed in any way.
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We describe integrations in more detail here.
Implementation goal
Data exchange and analytics for current business needs
Data type
Structured data that is understandable to any consumer
Processing order
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Data processing before loading into Data Lake
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Let's look at a simple example of an order management system (OMS). For example, an OMS stores the history of status data for all orders.
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This data matters for analytics, but it only clutters the system itself.
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This volume of historical data is better moved to a shared repository so as not to overload the system.
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It is impossible to account for every possible way these data may be used in the future.
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Today, you need a report on how long it takes an order to move from one status to another.
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In a month, order data may need to be used differently and in a different format.
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To store data for future use, a Data Lake is created - the enterprise data lake. Data enters such a repository as is.
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When it becomes clear what these data are needed for and how to use them, analysts can begin processing.
Implementation goal
Storage and processing of data for future use
Data type
Structured and unstructured data
Processing order
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An analyst processes the data after it is loaded
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Difference between DL and DWH by implementation purpose
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In practice, the boundary between storage types is relative.
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Everything depends on the quality of implementation and future use.
Data Lake
Collect as much data as possible for future processing.
Data Warehouse
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Collect the data and make it ready for immediate consumption.
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We build fault-tolerant data storage systems 1.
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With our approach, the architecture has no single point of failure 2.
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The storage components are independent of one another and can run on different servers in different locations 3.
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We create duplicate storage instances across multiple servers.
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If one server fails, the data stream will be redirected to another server 4.
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You can use both cloud servers and on-premise infrastructure
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Redesigned the IT architecture and created a transformation roadmap
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KT.Team FSK Group
Vadim Mizhensky, Head of Digital Product Development
KT.Team Maxxium
We have been working with kt.team for more than a year, and during that time we have come a long way, from a quick launch of a small website to a showcase catalog and several integrations. The team responded promptly to our requests and changes to the requirements, and together we tested several hypotheses and chose the most effective ones. Our project cannot be called highly loaded; unlike other projects kt.team works on, our catalog is not large.
But we needed to focus on a specific audience with high expectations, and we are constrained by legislation and the specifics of our industry. All of this did not prevent us from working together to create a project with a modern design and functionality that is convenient for both users and Maxxium employees. Andrey Ivanov, Head of Digital Transformation
KT.Team La Nature
Our online store urgently needed renovation and a fresh start. We chose kt.team in a competition on one of the tender platforms. You won us over with your forward-thinking approach and, above all, your bold use of the most advanced web development stacks. I would also like to note the professionalism of the design team: without unnecessary questions or discussion, they immediately captured our mood and vision for the result. The outcome is a very refined, concise, and beautiful design. Great job, keep it up! Denis Fedyunin, CIO
KT.Team St Gobain
You are professionals. At our first meeting, I told you about the project idea, and you helped refine and transform it into something special. Vladimir Belyaev, Head of Sales Development
KT.Team Tvoe
To launch the project on time, the team literally lived in our office. The project was launched on time. Keep up the good work! Maxim Sakib, Chief Operating Officer
KT.Team SQ 2
Before KT, there was another contractor, a large well-known integrator, and every change was expensive and painful. We were even thinking about abandoning Magento altogether! kt.team took on a huge amount of work. Great team! Sergey Gorbunov, Chain Sales Director
KT.Team SQ 1
After several years of joint, productive work, I would like to thank my colleagues at KT.Team. Together, we have come a long way, solved thousands of tasks, survived three Black Fridays, and developed and successfully launched several major projects estimated at more than 2,000 person-hours. Both I and the company management are satisfied with our collaboration. I believe in further fruitful cooperation. I wish KT.Team prosperity and professional growth to everyone at KT.Team. Roman Radovich, Head of Internet Projects
KT.Team Norgau
Norgau Russland LLC, development of the first B2B site in the country on Magento 2. A large volume of technical and design work was completed. The quality is very high. Dubovsky Alexey, IT Director
KT.Team Muztorg
The Muztorg Group of Companies has been successfully working with the KT.Team for more than two years. In our projects, we greatly value our partners' high professionalism and their ability to combine clear project organization with minimal formal constraints. I would also like to highlight the friendliness and openness of the KT.Team team. I would like to express my gratitude for the productive cooperation. Dmitry Savelyev, Board Advisor for Digital Development
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Ilya Sablukov, Project Manager
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Sergey Servetnikov IT Architect
KT.Team Brandly
On behalf of Inventive Retail Group, I would like to express our deep gratitude to the KT.Team for fruitful cooperation in delivering a new ambitious project. We would like to note the high level of involvement at every stage of implementation, as well as the professionalism and personal qualities of all employees involved in the project. Andrey Borisovich Mistulov, Director of Web Development and Project Management
KT.Team Transatlantic
KT.Team delivered a PIM implementation project for TRANSATLANTIC INTERNATIONAL. Although the project was short, the project manager regularly organized status review meetings, showed progress, and shared plans for the next sprint. Progress on the project was transparent and clear for our team, and we had the opportunity to adjust the plan. The project manager's requests made it possible to adapt the PIM system to our needs. Maksim Sergeev E-Commerce Product Value Manager
KT.Team FML
We came to KT.Team with a request to set up a platform to easily connect clients, carriers and WMS in FM Logistic France. The result was successively achieved. The work on project went well, and by now we have onboarded on a new platform a big client — it’s great result! I’d like to especially note very good reactivity and professionalism of the project managers, devs and ops who always help us. We look forward to working with your team on our new projects!
Eric Duboille Directeur Expertise E-Commerce, FM France SAS
Shilov workbook
It looks great and draws attention. People who know the field ask questions, and conversations follow that ultimately lead to discussing the tasks at hand and solving them. It is convenient to take notes and track thoughts. Interesting, useful quotes make it possible to step back and sometimes lower the level of seriousness. Maxim Shilov, IT Team Lead
Helped reduce load and scale system throughput
"For some systems, we physically would not have been able to handle the load that grew over the current year if we had stayed on the old technologies. We achieved results in a key and critical metric for us: we managed to scale throughput without scaling the sources and receivers." Andrey Kurilyuk, Deputy IT Director
Implemented a scalable service bus for Atimo
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Enabled Polaris to easily launch new products on marketplaces
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Automated product data handling for the Fix Price chain
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Developed the target system integration scheme. Implemented ESB technology and launched 48 flows
Learn more 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. Graphic studio for creating connectors A simple and flexible low-code platform that is part of Salesforce, with annual revenue of more than $30 million. We use the Community Edition version.
Version control and access rights configuration (roles) An open-source DevOps lifecycle web 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 flow status information A visualization and analytics system that lets you work out of the box with a wide range of data sources. 1 2 2 /
If you have preferences, we can use other products as well, including those with a paid license.
BI (analytics system) Yandex Datalens Redash Google Data Studio Microsoft Power BI Message broker Kafka RabbitMQ ActiveMQ ETL (extract, transform, load) WSO2 Datareon Talend MuleSoft Nifi Database Arenadata PostgreSQL MongoDB Hadoop
A typical workflow
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.
1. Designing a loosely coupled architecture
We will analyze the current IT architecture, AS-IS; work through exchanges for key entities; design the TO-BE architecture; prepare a roadmap for transitioning to the new architecture; prepare recommendations on tools; and prepare documentation. You will receive
A transition plan tailored to your business specifics
2. Migrate your most critical flows
BPMN flow diagrams; deployment and configuration of the required components (ETL, storage, logging, monitoring); connector setup; log collection and integration monitoring setup; documentation and training. You will get
Solving 80% of data exchange problems between systems
3. Migrating the remaining flows to populate the data warehouse
BPMN flow diagrams; connector setup; log collection and integration monitoring setup; documentation and training. You will get
A single enterprise-wide exchange mechanism and complete data for analytics
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We talk about integrations on our YouTube channel
1C integrations through ESB
Buses vs. message brokers
Contacts
Let's Discuss Your Project
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