Unlock the Power of Fabric Data Warehousing
Microsoft Fabric Data Warehousing is a comprehensive platform that caters to all aspects of a customer’s data needs. It offers a complete Data, Analytics, and AI platform that is lake-centric. Fabric allows you to utilise Database, Analytics, Messaging, Data Integration, and Business Intelligence workloads.
In today’s data-driven landscape, organisations often find themselves grappling with a multitude of disparate data sources. These sources can range from operational systems like ERP or CRM, Online Services APIs, to existing data marts or silos. As organisations aspire to harness the true potential of business intelligence, they soon realise the limitations of directly connecting tools like Power BI to these diverse data sources. While this approach may work for small data volumes or a PoC (Prove of Concept), it quickly becomes impractical as data volumes and security requirements grow. Data Bear offers Power BI data warehouse solutions using Microsoft Azure or Microsoft Fabric.
Azure Data Warehouse - A Game Changer
Unlike a Data Lake, a data warehouse is a relational system, meaning its data structure or schema is pre-defined based on specific business and product requirements. This structure is curated, conformed, and optimised for SQL query operations and BI reporting needs. This is often a first step before starting the creation of Power BI reports and dashboards.
Why Data Warehouses Matter for Business Intelligence
A data warehouse solves the ongoing challenge of efficiently extracting, transforming, and loading large volumes of data from diverse sources, making it ready for optimised reporting. It enables organisations to process complex queries efficiently.
Here’s how it works: Data is periodically extracted from multiple sources, cleaned, transformed, summarised, and organised in the data warehouse. It becomes a central repository for historical data, serving as the foundation for reporting and data analysis.
Overcoming Data Limitations with Data Warehousing
Power BI Desktop and other BI tools have their limits when it comes to importing and handling large datasets. A data warehouse isn’t tied to the constraints of a particular reporting tool. Instead, it future proofs your IT investment by focusing on data efficiency.
Whether you use Microsoft Power BI or any other BI tool, it’s important not to expect the BI tool to handle complex data modelling, data integration, or data cleaning. These are not the core functions of a BI tool, especially when dealing with enterprise-level operational data and reporting needs.
Benefits of Embracing a Data Warehouse
Data warehouses offer numerous advantages:
Single Source of Truth
They consolidate data from various sources, ensuring data consistency.
Improved Data Quality
Data cleaning can enhance data quality during the extraction and transformation process.
Historical Data Storage
They store historical data for analysis, which is crucial for trend analysis and forecasting.
Data warehouses provide secure access to authorised users, reducing the risk of data breaches.
Complex data transformations and calculations can be handled efficiently on the server side, reducing the load on reporting tools.
When to Consider a Data Warehouse
Choose a data warehouse when you need to efficiently convert vast volumes of data from operational systems into a structure optimised for querying and analysis. Unlike operational databases, data warehouses allow you to redesign schemas, simplify relationships, and consolidate tables for better business understanding.
A data warehouse serves as a buffer between operational systems and analysts, keeping sensitive operational data secure and accessible for reporting. Cloud-based data warehousing solutions, such as Microsoft Azure SQL and Microsoft Fabric Data Warehousing, provide scalable options that integrate seamlessly with Power BI.
Use cases Illustrating how organisations can benefit from Data Bear's data warehousing solutions:
Experience the Power of Data Warehousing with Data Bear
Data Bear boasts a seasoned team of database and data warehousing developers. Regardless of your data’s volume, type, or storage location, our experts tailor data warehousing solutions to your specific needs. We specialise in developing data warehouses optimised for organisational reporting requirements, whether for ad hoc analysis or formal reports.
For organisations without their own data warehousing environment, we recommend cloud-based data warehousing solutions. Platforms like Microsoft Azure or Microsoft Fabric offer innovative tools that integrate seamlessly with Power BI. Azure SQL Database, a scalable and intelligent relational database service, is designed for cloud-native reporting solutions.