Data Warehouse - implementation and maintenance

Data Warehouse in Microsoft Fabric

New Generation Data Warehouse

What is Data Warehouse?

As a Microsoft Partner, we support companies in implementing and utilizing these opportunities in real business scenarios.

Modern Data Warehouse

Data Warehouse is the next generation data warehouse in Microsoft Fabric. It's a transactional data warehouse that natively supports open data formats, enabling IT teams, data engineers, and business users to collaborate smoothly and derive actionable insights from the prepared data, all while maintaining an appropriate level of security.

Serverless infrastructure

Instead of providing dedicated clusters, Data Warehouse in Microsoft Fabric is built on a fully serverless compute infrastructure, where resources are allocated in milliseconds as requests come in. This enables users to benefit from resource efficiency and only pay for what they use.

Full Integration

Data Warehouse is fully integrated with all the capabilities of Microsoft Fabric right out of the box. This allows users to continue leveraging the SQL engine capabilities through T-SQL language or a simple user interface. All of this is combined with the continuous benefits of the SQL ecosystem.

Scope of Possibilities

How can Data Warehouse in Microsoft Fabric help your company?

Microsoft Fabric, a tool we implement as a Partner, offers a central data warehouse based on an enterprise-grade distributed processing engine that delivers industry-leading performance at scale while eliminating the need for configuration and management. With an easy-to-use SaaS environment that is tightly integrated with Power BI for easy analysis and reporting, Warehouse in Microsoft Fabric combines a data lake and warehouse environment to make it significantly easier for organizations to invest in their analytics resources.

Fully managed SaaS solution
Serverless compute infrastructure
Smoothly scale up and down as needed
Cross-query and join data without creating copies
Automatic load detection
Integration with other MF services

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A New Quality of Experiences

Data Warehouse - elevating data transformation

Business analytics is a process that demands skills in acquiring, preparing, and analyzing data, creating business semantics, applying machine learning models, and preparing BI reports. It requires the collaboration of IT professionals, data engineers, business analysts, and data scientists across the organization. When data is shared, it needs to be secured and properly managed. Data Warehouse facilitates this through the following key features.

User-friendly interface
Easy handling for developers and citizen programmers alike
Simple data acquisition and preparation
Visual Query Editor with drag-and-drop functionality
Virtual warehouses containing data from any source in Fabric
Full integration with Power BI in Microsoft Fabric

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200 +

completed implementations

500 +

satisfied customers

1000 +

developed analyses

10000 +

trained customers

busines value

Why is it worth implementing a Data Warehouse?

Faster decisions through data integration

Implementing Microsoft Data Warehouse significantly reduces the time required for data analysis and decision-making. Thanks to full integration with Power BI and other services of the Microsoft Fabric platform, business teams gain immediate access to up-to-date information - without having to involve the IT department. Reports that previously required several days of work can be prepared up to 50% faster, which directly translates into more efficient response to market changes and better operational planning.

Cost reduction through flexible infrastructure

Microsoft Fabric's modern serverless data warehouse architecture allows you to precisely match resources to the actual needs of your business. There is no need to maintain fixed computing power - the user pays only for the actual use of the system. This approach allows you to optimize costs by up to several tens of percent per year and significantly reduces the total cost of ownership of analytical infrastructure (TCO), while guaranteeing high performance when working with large volumes of data.

Fully exploit the potential of data

Microsoft Data Warehouse enables organizations to effectively combine data from multiple sources - including ERP, CRM or external databases. Support for a variety of formats, native integration with Microsoft Fabric services, and modern features such as DirectLake and Semantic Link allow you to build consistent data models and use them for both reporting and advanced predictive analytics. It's a solution that allows companies to turn distributed data into tangible business value and better prepare for future challenges.

OneLake Data Storage

Data Warehouse in Microsoft Fabric - why use it?

Flexible and scalable infrastructure

Data Warehouse provides flexibility and easy scalability, allowing organizations to adjust resources to current analytical needs.

Scalability and resource management flexibility

Microsoft Fabric service offers resource management flexibility, enabling dynamic adjustment of compute power and memory according to project needs, optimizing costs and performance.

Secure and reliable data processing

Data Engineering in Microsoft Fabric guarantees a high level of data security and reliability in processing, using advanced access control mechanisms, ensuring full trust in analysis results.

Integration with the MS Fabric ecosystem

The service seamlessly integrates with other Fabric services like Data Engineering, Real Time Analytics, and Power BI, making data analysis and advanced reporting easier.

Advanced data transformation and cleansing tools

With the rich set of tools in Data Engineering, advanced data transformation and cleansing operations can be performed, leading to more consistent and complete data in the analysis process.

Support for various data sources and formats

Microsoft Fabric service allows easy data integration from different sources and supports various data formats, enabling organizations to use a full range of data for better and more comprehensive analysis.