In this video, we will see how you can fix the error AVAILABLE_COMPUTE_CAPACITY_EXCEEDED that you will generally face when you are trying to create a new spark pool and using same pool to another notebook. In this video, to fix that issue we will create a new pool by requesting for vCores
Quota Documentation :
https://learn.microsoft.com/en-us/azure/synapse-analytics/spark/apache-spark-concepts
To submit ticket:
ENROLL NOW TO LEARN AZURE SYNAPSE ANALYTICS FROM SCRATCH!!
Couse link [WITH COUPON CODE] : https://www.udemy.com/course/basics-to-advanced-azure-synapse-analytics-hands-on-project/learn/lecture/39340886?couponCode=FIRST70
What you'll benefit from this course?
1. Synapse concepts: Complete basic to advanced understanding of Azure Synapse Analytics.
2. PySpark from Scratch: Explore 50+ essential PySpark Transformations that power data manipulation and enrichment.
3. Access to 45 + Spark notebooks : Acquire a comprehensive library of 45+ PySpark notebooks for efficient data cleansing and transformation.
4. Build entire project with Synapse: Dive into hands-on learning, building a modern data warehouse using Azure Synapse.
5. Python for Data Engineers: Discover the role of Python in Data Engineering and its crucial applications.
6. Spark pool for data analysis: Harness the capabilities of Spark Pools for processing large-scale data workloads.
7. Spark Optimization techniques: Optimize your PySpark skills with Spark Optimization techniques for enhanced performance.
8. Delta lake and its features: Uncover the principles and advantages of Delta Lake as a reliable data storage and management solution.
