Modern Data Engineering and Warehousing using
Damian Widera, Estera Kot
Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place.
With Fabric, you don't need to piece together different services from multiple vendors. Instead, you can enjoy a highly integrated, end-to-end, and easy-to-use product that is designed to simplify your analytics needs.
The platform is built on a foundation of Software as a Service (SaaS), which takes simplicity and integration to a whole new level.
Total Duration: 4 hours.
2023 July 11,13
San Francisco 9AM-11AM
Software engineer with 20+ years of professional experience in all aspects of software development.
Damian participated in a number of projects in international environments and possesses practical knowledge of procedures and tools which are necessary for successful implementation of such projects.
Now he focuses on building solutions based on Microsoft SQL Server environment (including complex database driven systems, database administering, tuning and optimization).
Damian is experienced speaker and columnist.
Damian holds various Microsoft Certifications: he is a Microsoft Certified Trainer, Solution Developer or .NET and Database Administrator from 2004. He now is also an MCSE of Data Platform. Describes himself as an energetic actor.
T Manager / Data Hubs Engineer & Tech Lead at P&G.
Estera focuses on converting strategy and business vision to technical deliverables and working software. As a Data Hub Engineer, Estera builds CI/CD pipelines and develops code responsible for resource provisioning in Azure. Moreover, Estera sets code standards and based on them; she does a code review for other teams. She also leads technical debates and works with other teams to define technical options and agree on solutions to deliver business requirements on time.