How to build a Data Warehouse in Microsoft Fabric: A guide for data professionals

Extracting meaningful insights from a diverse data pool is daunting for data-driven organizations. Traditional data storage solutions often struggle to provide the necessary structure and arrangement for effective analysis. Here, Microsoft Fabric, with its data warehousing capabilities, offers a compelling solution to help you manage, store, and analyze your data. Microsoft Fabric’s data warehouse is […]

Introduction to Data Science in Microsoft Fabric: A hands-on approach

Data science in Microsoft Fabric

The growing volume of data from various sources has made data science a rapidly growing field across every industry. This interdisciplinary field uses algorithms, processes and procedures to examine large volumes of data and uncover patterns and insights for analysis and decision making. Consequently, it comes as no surprise that the demand for skilled data […]

Inside Microsoft Fabric: The role of Power BI in generating BI insights

Power BI in Microsoft Fabric

Turning data into reports, insights, and interactive visualizations for data analysis is no longer a complex process. With Power BI, this process has become not only efficient but also dynamic and insightful. With its intuitive interface and remarkable capabilities, especially when integrated with Microsoft Fabric, Power BI empowers technical and non-technical users to explore data, […]

Getting started with Lakehouse in Microsoft Fabric: A how-to guide

lakehouse feature image

The launch of Microsoft Fabric for managing massive data loads has revolutionized the entire data infrastructure. With Microsoft Fabric Lakehouse, organizations can leverage a unified data repository that seamlessly stores and manages both structured and unstructured data. This data Lakehouse architecture eliminates the need for separate data lakes and data warehouses, fostering a more agile […]

Leveraging Databricks and Microsoft Fabric for next-gen data solutions

Data management techniques

For years, Databricks has enabled organizations to work with all types of data, structure and unstructured, within a unified, user-friendly environment. Databricks has empowered enterprises to streamline their data workflows, accelerate insights generation, and drive innovation. In fact, over 7,000 organizations, regardless of their sizes, have been using Databricks for data engineering, advanced analytics, and […]

How AI is transforming data analytics in retail

There’s no denying that in the retail sphere, any retailer’s most important assets are its data and people. The sheer volume of data available to retailers serves as both a blessing and a challenge, demanding innovative approaches to extract meaningful insights. Recognizing this prevailing concern, a significant transformation is unfolding as companies transition from traditional […]

Copilot in Microsoft Fabric: AI-driven data experiences

Co-Piloting Your Journey with Microsoft Fabric

In today’s data-driven business world, businesses are highly dependent on their data to make decisions based on insights. However, simply having data isn’t enough. Companies need intelligent, accessible analytics tools to unlock their true value. This is where Microsoft Fabric comes in. It features a powerful and unified analytics platform with its Copilot capabilities, helping […]

What are Microsoft Fabric capacities? A starting guide for businesses 

Microsoft has recently introduced Microsoft Fabric, a novel data storage and management solution. This platform incorporates various functionalities such as a data lake, diverse computing configurations, sophisticated data governance, and an extensive application surface.  Microsoft Fabric Capacity stands out as a key element within the comprehensive suite of Fabric components. This article delves into the […]

A quick guide to sharing real-time data in Microsoft Fabric

a-quick-guide-to-sharing-real-time-data-in-microsoft-fabric

There has never been a higher need for smooth and secure data-sharing solutions than today in the field of data management and communication. Traditional methods of sharing data include file shares, FTP, email, and APIs. However, to transfer data between teams and organizations, most of these techniques require creating and maintaining data pipelines at both […]