We have extensive experience providing solutions implementing and migrating data warehouses to Microsoft Azure

We’ll help you with Microsoft Fabric, Databricks, Synapse, Data Factory, Azure SQL Database and other tools

acterys, Data science a AI, microsoft fabric

Microsoft Azure

We build data warehouses, data lakes and lake houses in the cloud using Microsoft Azure. We provide our in-house methodologies and framework for developing ETL procedures. We’ll involve your employees in development and train them to be able to develop the solution further themselves.

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

Data warehouse in Microsoft Azure

We’ll set up regular uploading of data from your information systems to a data warehouse in Azure SQL Database or Synapse and ensure that the data is linked, cleaned, historicized, understandable and optimized for reporting. 

Data warehouse in Microsoft Azure

DWH implementation in Azure

We’ll design the optimal data warehouse architecture to ensure maximum efficiency and performance. We’ll use the latest technologies while keeping costs as low as possible. 

We’ll design a dimensional self-service data model on which users can easily and quickly create optimized reports. 

We’ll develop robust ETL procedures in Azure Data Factory or other tools for automated and efficient processing and retrieval of your data. 

We’ll migrate your existing data warehouse to Azure. 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.

In development we use a combination of our own ETL framework and generative AI to save you at least 50% on costs compared to manual development.

Data lake and lake house in Microsoft Azure

We’ll provide regular uploading of structured and unstructured data from your IT systems, sensors, IoT devices and other internal and external sources to a data lake so that it is available in a single location 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 in Microsoft Azure

Data lake and lake house implementation in Azure

We’ll design an optimal data lake house architecture that combines 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.

Dolphin ETL framework

On top of Microsoft Azure tools, we’ll provide you with our dolphin ETL framework - a set of methodologies and technologies that together create a platform for automating your data warehouse development and administration according to the latest DevOps rules.

Dolphin ETL framework

Benefits of the ETL framework

We’ll set up templates for automated generation of ETL procedures from metadata, including various historization methods. This will result in time savings of at least 50% compared to manual development. 

The framework generates ETL script envelopes, including audit procedures, for you. You can focus solely on implementing the transformation logic. 

The framework includes support for versioning ETL procedures in GIT and easy transfer of procedures between development, test and production environments. 

ETL development using our framework is based on the latest DevOps principles - collaboration, automation, continuous integration, monitoring and logging. 

The entire environment is completely open - it consists of methodologies, standard database and PowerShell scripts, templates, GIT and a development and management cockpit. You can customize any part of the environment.

It's easy with us

We know how to do it.

1.

Non-binding consultation

We will identify your needs and evaluate how Microsoft Azure can help you work with data more efficiently. Free of charge and without obligation.

2.

Solution proposal

We will design the optimal solution tailored to your requirements, including architecture, integration and specific tools.

3.

Implementation

We will ensure fast and smooth deployment of Microsoft Azure into your environment, including configuration and team training.

4.

Support

We provide long-term technical support and regular optimization so that your solution always works at 100%.

How we’ve helped our clients

Zautomatizovali jsme nahrávání dat pro řízení výkonnosti distribuční sítě, vyvinuli reporty a dashboardy pro představenstvo společnosti a zajistili jejich distribuci na mobilní zařízení.

We implemented a datamart for data collection and cleaning and calculation of key performance indicators (KPIs) for the development of the distribution network. We designed management dashboards and reports for the KPIs.

We integrated data from the company’s operational systems into a Microsoft SQL Server data warehouse and provided automated reporting to the parent company. We trained all reporting users.

Case study

We integrated data from the company’s accounting systems and built a financial data mart optimized for reporting. We developed reporting focused on various types of financial statements in the Power BI environment.

Case study

For KB, we created a Microsoft Power BI solution for digital transformation and enhanced self-service reporting. Through report migration, we simplified management and increased data analysis efficiency.

Case study

Provedli jsme analýzu požadavků uživatelů a spolupracovali při návrhu architektury BI a datového skladu. Vytvořili jsme reporty pro obchodní síť a další uživatele a zajistili jejich podporu a rozvoj.

Integrovali jsme data z různých zdrojových systémů a vytvořili jsme reporty pro analýzu měření, řízení datových toků a datové kvality.

Vyvinuli jsme reporty pro oblast plnění plánu, výroby a profitability. Poskytli jsme podporu a další rozvoj implementovaného řešení. Proškolili jsme uživatele reportů.

Ondřej Gřešák

Need help implementing BI in Microsoft Azure?

We’d be happy to advise you. Send us a message with your contact information and we’ll get back to you as soon as possible.

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