We’ll set up regular uploading of data from your information systems to a data warehouse in Amazon Web Services, ensuring it is linked, cleaned, historicized, understandable and optimized for reporting.
We deliver and migrate data warehouses on AWS technologies
We’ll help you with Amazon Redshift, Aurora, Kinesis, Glue, QuickSight and other tools

Amazon Web Services
We develop data and analytics solutions in the cloud on the Amazon Web Services platform. We’ll help you with architecture design, methodologies, security, environment setup and development. We’d be happy to involve your own team in development and train them. We utilize components from Redshift, Aurora, Data Migration Services, Kinesis, QuickSight, Glue and other companies.
Dolphins in numbers
14
years on the market
3000+
number of participants in the BI Academy
140 mil.+
annual turnover
178+
number of certifications achieved
DWH development in AWS
We’ll design the optimal data architecture in AWS to ensure maximum efficiency and performance. We’ll set up the environment to minimize costs.
We’ll create a self-service data model where users can easily and swiftly create optimized reports on their own.
We’ll develop ETL procedures in AWS Glue using maximum automation and AI to minimize development costs.
We’ll migrate your existing data warehouse to AWS. We’ll ensure a smooth transition, optimize performance and minimize costs.
We’ll provide comprehensive data warehouse operations support. We’ll monitor performance, resolve incidents and regularly optimize the system to keep it running at its best.
Data lake and lake house in AWS
We’ll ensure regular uploading of structured and unstructured data from your information systems, sensors, IoT devices and other internal and external sources to a data lake so that it is available in one place at any time. We’ll make selected data available in a user-optimized lake house layer for easy analysis and reporting.
Data lake and lake house development in AWS
We’ll design the optimal data lake house architecture in AWS, combining the benefits of a data lake and data warehouse. You’ll save on costs and get a flexible and powerful platform for data analysis.
We’ll enable agile development of reports and analyses by combining data from the data lake and warehouse layers so you can respond to business needs in hours, days at most.
By generating ETL procedures from metadata, we’ll automate development of the data lake layer so that adding new data sources takes days instead of months.
We’ll clean the data needed for regular reporting and analysis, integrate it into a dimensional layer, and link it to give you a comprehensive view of your business.
During implementation, we’ll put data governance processes in place and describe the data to make it user-friendly and ready for your AI applications.
It's easy with us
We know how to do it.
Non-binding consultation
We will identify your needs and evaluate how Amazon Web Services can help you work with data more efficiently. Free of charge and without obligation.
Solution proposal
We will design the optimal solution tailored to your requirements, including architecture, integration and specific tools.
Implementation
We will ensure fast and smooth deployment of Amazon Web Services into your environment, including configuration and team training.
Support
We provide long-term technical support and regular optimization so that your solution always works at 100%.
How we’ve helped clients
Need help implementing AWS?
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