Whether you process gigabytes per second on a large cluster or gigabytes per day on a single server we will pick a suitable technology and propose a solution tailored to your use case. We help you ingest the data from variety of sources, align them, build robust data pipelines and scalable storage. Depending on your needs we can build you a data warehouse with all the necessary ETL / ELT processes or design a data lake making the data available for further use in Machine Learning and Data Science.
Our data engineers have significant experience working with various, even extremely large, volumes of data. They have excellent track of records designing and implementing batch and stream processing, and the combination of the two. We help you connect the data pipeline to your data storage or integrate them with your digital products and services.
Data infrastructure is a backbone of every modern company. It is a base on which one can build other data services and analytical solutions. We not only aid you to make the right choices, but also set it up for you, irrespectively if you decide for bare-metal, public cloud or hybrid solution. Our engineers have worked with the main cloud providers and we know how to make the best use from the services they offer. We will use our experience to build cloud data infrastructure adopted to your specific needs. Should you decide to move your existing infrastructure to the cloud we will take care of the smooth transition.
Since there is no universal solution applicable for everyone we will tailor the data infrastructure to your present and future needs with maintainability and scalability in mind. We have vast experience in building “classical” batch-processing ETL / ELT processes feeding data to a data warehouse. Managing complex data processing pipelines, optimising SQL queries, tuning database performance – this is the daily work of our engineers.
There is growing number of applications where batch-processing is not enough. The data must be transformed and analysed as they arrive. A modern stream-processing and stream-analytics platform is the appropriate response for these challenges. Our engineers are up to date with the leading technologies in this domain and can leverage them to build efficient and scalable data streaming platforms.
We will be happy to conduct data engineering projects through the complete lifecycle, including maintenance, and long-term support. Our team can provide an additional value to your existing data team introducing new technologies and promoting good engineering practices. If you have ambitious plans, but no enough qualified people to implement them – we can help to fill the gap.