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Spark Data Engineering Patterns - Shortcuts and external tables

  Рет қаралды 6,433

Azure Synapse Analytics

Azure Synapse Analytics

Күн бұрын

Fabric Espresso Presents: "Spark Data Engineering Patterns - Shortcuts and external tables"
📌 About This Episode:
In today's data-driven world, mastering Spark and Big Data technologies is no longer optional-it's essential. That's why we've invited Daniel Coelho to share his invaluable insights. Daniel is driving Delta Lake at Microsoft Fabric and Azure Synapse Analytics. He's laser-focused on Data Engineering experiences using Spark and Big Data technologies. His work enables BI Analysts, DBAs, Data Engineers, and Data Scientists to shape their data effectively and build incredible solutions.
In this episode, we'll dive deep into:
📊 The Difference Between Managed Tables, External Tables, and Views
📊 Why It's Worth Using Delta Format
🛠️ Shortcuts for Optimizing Your Spark Workflows
🗄️ How to Leverage External Tables for Better Data Management
✅ PS. Demos starts from 08:28! :)
🎙 Meet the Speakers:
👤 Guest from Product Group: Daniel Coelho, Principal Product Manager
Linkedin: / danibunny
👤 Host: Estera Kot: Senior Product Manager at Microsoft
LinkedIn: / esterakot
Twitter: / estera_kot

Пікірлер: 7
@azizquazi
@azizquazi 24 күн бұрын
It is always good to provide the source file locations and the ipynb files to follow the videos. I appreciate your thoughts on this. Thanks.
@alacostabr
@alacostabr 11 ай бұрын
Daniel you absolutely amazing! Thank you so much for clarifying and all, all learners, create capabilities to better understand concepts correctly!
@camilamribeiro
@camilamribeiro 11 ай бұрын
Good to know!!! Thanks for sharing with us Daniel!!!
@DanielWeikert
@DanielWeikert 11 ай бұрын
Share more insights about the cost attached to shortcuts. This might be very relevant for pulling data out of e.g. S3 br
@StanleyCruvinel
@StanleyCruvinel 11 ай бұрын
Great Dani Bunny! I’m looking for about Shortcuts tables and how create versions or branches from a data lake. Updates, Inserts only on my data branch. Closer what ‘lakefs’ do.
@SciCoBunny
@SciCoBunny 11 ай бұрын
Thats a story we are crafting into the product right now! As you may imagine, it does require a lot of integration between catalogs and other engines. While just using the Delta shallow clone feature is a possibility, we want to do much more than that! Stay tuned!
@7effrey
@7effrey 11 ай бұрын
Any place where you Can see the views that has been created in the lakehouse item?
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