Write-back to Microsoft Fabric OneLake

Write-back to Microsoft Fabric OneLake

Explore two effective strategies for implementing write-back to Microsoft Fabric’s OneLake: leveraging Power Automate and using a transitional database approach for for real-time data updates.

A New Course in Procurement: How Centida Meets CPO Needs

A New Course in Procurement: How Centida Meets CPO Needs

Explore how Centida is transforming the role of Chief Procurement Officer (CPO) in the dynamic market landscape. Leveraging advanced BI tools and ABC analysis, Centida provides innovative solutions for supply chain optimization and strategic procurement management, catering to the complex challenges faced by modern CPOs.

Microsoft Fabric: Assessing the True Cost of Convenience

Microsoft Fabric, offering advanced analytics with swift setup, might entail unexpected costs. Its unified data hub, OneLake, could potentially make data storage costly and foster over-dependence on a single provider. Furthermore, the steep price tag could deter smaller businesses. Thus, companies must meticulously evaluate the advantages and potential risks before opting for this platform.

A Perfect Union: Revolutionizing Power BI with Microsoft Fabric

Microsoft Fabric is revolutionizing business intelligence and data analytics by seamlessly integrating with Power BI, enhancing efficiency and user experience. Discover the power of Direct Lake, which addresses latency issues by analyzing vast data directly from data lakes, and how Co-Pilot, an AI-driven tool, automates tasks and generates insights.

Riding the Data Wave: Use Cases and Potential of Data Lake

In this article, we discuss the benefits of a data lake over a traditional warehouse. See how data lakes can make life easier during company mergers and acquisitions, help reduce storage costs, and get your business ready for the boom in AI applications that’s just around the corner.

Data warehouse vs data lake: choosing the right data storage

With the fast development of modern data storage solutions, two popular options have emerged: data warehouses and data lakes. While both store and manage large volumes of data, they differ in terms of structure, design, and use cases. In this article, we will explore the differences between the two storage solutions, as well as the scenarios in which one may be better than the other.

BI trends in 2023

In this article, we look at the top 5 trends that experts forecast in the business intelligence (BI) field in 2023.

ETL vs ELT: is market shifting toward ELT?

With the development of data lakes and ELT, some analysts began predicting the market’s shift from ETL toward ELT. In this article, we look at two data integration methods and discuss whether ELT will replace ETL.