Pozor, nahajate se na testni strani. Informacije, ki so na voljo na spetnem mestu, niso uradne in niso uporabne, vprašljiva pa je tudi njihova verodostojnost.

Ta spletna stran hrani piškotke, da bi vam zagotovili boljšo uporabniško izkušnjo in popolno funkcionalnost te strani.

Analitične piškotke uporabljamo s storitvijo Google Analytics, samo z vašo privolitvijo. Sprejemam Zavrnitev Več informacij

You Have 37 Data Sources. Now What? | MS Fabric & Power BI

Predavanje je v angleškem jeziku.

Most companies do not have a data problem, they have a data sprawl problem. An ERP on SQL Server or SAP, a point of sale system on Oracle, a few public APIs, and no way to effectively manage the pile that all of this has quietly become. What that situation needs is a platform that separates where data sits from what runs on it. Storage you do not have to ration, one copy of the data, and a choice of engine at every step: Spark when the volume calls for it, Python when the source is messy, T-SQL when the shape is already tabular. Add one repository and matching development, test and production environments, and the platform stops being the constraint. This session will cover how raw files land at one end, a report someone actually trusts at the other, and the medallion architecture in between, all of it in Microsoft Fabric with Azure DevOps underneath.

Christian Gregorec

B2 BI d.o.o.

Christian Gregorec is a Data Engineer at B2 BI, a leading company in the development and implementation of business analytics solutions. He is passionate about end-to-end data solutions that span the entire data lifecycle, from the source through data lakes and data warehouses to final business analytics. He spends most of his time working within the Microsoft Fabric environment, where he focuses on building and optimising infrastructure for efficient, scalable data processing and analysis. His solutions help organisations gain deeper insight into their data, enabling more informed and effective business decisions. His work played an important part in the team effort behind B2 BI's Analytics on Microsoft Azure Specialisation, reflecting the company's expertise in planning, deploying and managing end-to-end analytics and data platform solutions.

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