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Azure Synapse Analytics | Workload Management and Concurrency

By: Arshad

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Azure Synapse Analytics | Workload Management and Concurrency

In any data warehouse system, there are different types of workloads – in broad categories, we can say there is one to load and process data, and there is another one for data querying. Even within these broad categories, there might be few requests which require high importance and more resources than others. For example, there might be critical data load which needs to be completed within tight SLA with high priority, yet there might be other data load which can wait or okay to take longer. Likewise, there might be some queries... Show more

In this video, you will learn about workload management, what it is, what are options and how it works in dedicated SQL pool.

1. Workload Management - Introduction
2.Resource Classes - Static vs Dynamic Resource Classes
3.Workload Management - New Feature
4.Workload Management - Isolation
5.Workload Management - Classification
6.Workload Management - Importance
7.Demo - Resource Classes
8.Demo - Workload Management (Isolation, Importance and Classification)

Thank you for watching, in my next video, I am going to talk in detail about different data ingestion patterns and options available when working with SQL pool. Stay tuned.

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Instructed by

Arshad Ali
Principal Architect

Seasoned technical architect with deep experience in architecting and delivering enterprise scale data warehousing, business intelligence, big data and advance analytics solutions for enterprise customers across globe. Engages with strategic customers for digital transformation and business prioritization processes, particularly focused on data platform modernization and data analytics, to enable them to better utilize their data platform assets, and drive new insights and scale from their investment in cloud solutions through a combination of batch or real-time data consumption & processing (Lambda or Kappa architecture), predictive analytics as well as intuitive visualizations that enables users to make smarter, faster decisions.


A technical thought-leader who manages and collaborates with multi-stakeholders ecosystem - customers, engineering, marketing and sales, consulting, partners etc.


Presented in several technical events both internally and externally. Has co-authored a book on big data analytics (Big Data Analytics with Microsoft HDInsight by Sams\Pearson) and has written 200+ technical and performance optimization technique articles on data platform and analytics which have been published on several sites.

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Who is this Azure Synapse Analytics | Workload Management and Concurrency for?
static vs dynamic resource classes workload management new feature workload management isolation workload management classification resource classes workload management importance data
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