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Fetch API Data Faster: Parallel API Calls in Microsoft Fabric Notebooks
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🔗 Learning Materials (files, code etc.):
🔗 DP-700 Microsoft Certified: Fabric Data Engineer Associate Exam Prep:
🔗 Microsoft Fabric Data Engineering Tutorials:
🔗 Microsoft Fabric Videos:
🔗 Azure Data Factory Masterclass Course:
🔗 All the Videos:
How to Parallelize API Calls in Microsoft Fabric Notebooks
What You’ll Learn:
🔷 Best practices for error handling in parallel processing
🔷 Techniques to optimize API performance while respecting limitations
🔷 Differences between using driver nodes and worker nodes for parallel tasks
Key Takeaways:
✨ Reduce processing time by running API calls simultaneously
✨ Handle API errors effectively to maintain robust pipelines
✨ Understand the limitations of driver nodes for parallel processing
✨ Future-proof your pipelines by learning scalable parallelization techniques
Related Hashtags:
#MicrosoftFabric #ParallelProcessing #DataEngineering #APIIntegration #PythonNotebooks #ConcurrentFutures #AzureTutorial
💼 Follow or Connect with me on LinkedIn:
🔗 Learning Materials (files, code etc.):
🔗 DP-700 Microsoft Certified: Fabric Data Engineer Associate Exam Prep:
🔗 Microsoft Fabric Data Engineering Tutorials:
🔗 Microsoft Fabric Videos:
🔗 Azure Data Factory Masterclass Course:
🔗 All the Videos:
How to Parallelize API Calls in Microsoft Fabric Notebooks
What You’ll Learn:
🔷 Best practices for error handling in parallel processing
🔷 Techniques to optimize API performance while respecting limitations
🔷 Differences between using driver nodes and worker nodes for parallel tasks
Key Takeaways:
✨ Reduce processing time by running API calls simultaneously
✨ Handle API errors effectively to maintain robust pipelines
✨ Understand the limitations of driver nodes for parallel processing
✨ Future-proof your pipelines by learning scalable parallelization techniques
Related Hashtags:
#MicrosoftFabric #ParallelProcessing #DataEngineering #APIIntegration #PythonNotebooks #ConcurrentFutures #AzureTutorial
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