Nowadays more and more companies start to notice that effective data processing is a valuable source of knowledge and has a fundamental impact on the competitiveness on the market.

As a Data Service team we provide support for our Clients with storing, processing and analyzing data which is of a great importance for the development of their companies. We stand out due to creating flexible models for reporting and providing data service for them.

When choosing an informatics solution, we do not only base on our experience but also on what our Clients currently need. We pay attention to the usage of technologies and this enables us to obtain a competitive advantage regardless of the sector in which we work.

To ensure that the tools we provide are appropriate for our Clients, we’ve become a partner of Talend. Our team members have excellent and unique skills that guarantee the support for the implementation of such solutions as Talend ESB, Talend Data Integration and Talend Big Data.

What we do:

Data Integration

It enables the integration of different types of data sources in order to build a data warehouse for Compliance or build an integration on the data-between-systems level. We’ve applied good Kimball’s and Inmon’s practices which we implement not only on paper.

Big Data

We use the newest data sources with the objective of obtaining brand new and complete information. For us Big Data is not only a technology but also an excellent source of information to discover what may remain unseen at first sight.

Application Integration

For an immediate communication between systems, we use ESB tools which allow us to implement quickly and without difficulties services which bring value for our Clients. Application integration combined with a traditional data integration and Big Data makes it possible to provide complex business solutions.

Data Integration

One of the most important elements of data processing is integration. The data within organizations are stored in many systems which are very often created with the use of different technologies. Data integration is related to several essential processes:

Understanding business entities defined by the data

Understanding how the processed data should be combined within systems

Stating how the data should be processed

That’s why people who work with data integration have to improve their technical, analytical and business skills simultaneously. Looking at today’s flow of information, we notice that due to its huge quantity, the society has focused on receiving it not on analyzing it. As a result, the message we receive has become shallow and unclear. Basing on existing best practices and simple tools of description (e.g. Logical Data Map) we are capable of creating specifications easy to understand for Clients (e.g. in business and IT) as well as for programmers.

Big Data

Is there a relation between the air pressure and what’s playing at the movies? Will we be able to say how a particular person is feeling at the moment and what will they buy next week on the basis of their purchase history?

These examples may seem abstract but Big Data sheds a new light on them. From a bigger perspective, it may turn out that they constitute easily predictable formulas and structures.

We enter the Big Data world on the basis of our experiences with data processing and new tools and methodologies. The business value we are trying to create lies in exploiting the synergy between the structured data (the traditional approach) and the unstructured one (Big Data).

In addition, we make use of Machine Learning in order to increase our competitive advantage when working with Big Data.

Application Integration

In organizations that use tens or even hundreds of IT systems, it is necessary to ensure an effective and coherent communication between the systems. The ESB (Enterprise Service Bus) solutions help to provide the application integration, using several internationally recognized integration patterns (so-called EIP) which include the message creation, the routing, and translation, the administration of communication channels and end-user interfaces. Commercial products give us the possibility to monitor the real-time exchange of messages as well as services and security management.

The possibility to both create agile services and micro-services, and extend the range of application integration by adding the Big Data area, is an interesting additional feature of Talend ESB.