Dr. Estera Kot

Data Engineer perspective on loading data for Fabric: Uploads, Data Flows, Copy Tool or Shortcuts?

Episode 15 of Fabric Espresso, hosted by Dr. Estera Kot.

Video thumbnail for Data Engineer perspective on loading data for Fabric: Uploads, Data Flows, Copy Tool or Shortcuts?. Opens the video on YouTube.

Length 8:44. Published Aug 1, 2023 on the Azure Synapse Analytics YouTube channel. Topic: Spark and Data Engineering.

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About this episode

Text from the YouTube description.

📚👨‍💻 Data Engineer's Perspective: Loading Data into Fabric - Comprehensive Guide 🚀📈

In this enlightening video, we delve into the world of data engineering and explore how to effectively load data into Fabric, the powerful all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence.

We're thrilled to welcome a special guest, Ted Vilutis, an experienced product manager, to our Data Engineering and Data Science series hosted by Estera Kot. Together, they will illuminate the subtleties of various data loading methods and provide their expert insights.

🔑 Key Points:

👉 Upload CSV: https://learn.microsoft.com/en-us/fabric/data-engineering/get-started-csv-upload

👉 Create your first dataflow: https://learn.microsoft.com/en-us/fabric/data-factory/create-first-dataflow-gen2

👉 Microsoft Fabric decision guide: copy activity, dataflow, or Spark: https://learn.microsoft.com/en-us/fabric/get-started/decision-guide-pipeline-dataflow-spark

👉 Shortcuts to Other Storage Locations: https://learn.microsoft.com/en-us/fabric/onelake/onelake-shortcuts

Meet the Speakers:

Estera Kot: Senior Product Manager at Microsoft

LinkedIn: https://www.linkedin.com/in/esterakot/

Twitter: https://twitter.com/estera_kot

Ted Vilutis: Senior Product Manager at Microsoft

LinkedIn: https://www.linkedin.com/in/tedvilutis/

Twitter: https://twitter.com/tvilutis

Don't miss out on this opportunity to learn directly from the Microsoft Fabric Product Group Team and elevate your data engineering skills with Microsoft Fabric! 🚀

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