Many business application architectures separate transactional and analytical processing into separate systems with data stored and processed on separate infrastructures. As more and more businesses move to digital processes, they increasingly recognize the value of being able to respond to opportunities by making faster and well-informed decisions. HTAP (Hybrid Transactional/Analytical processing) enables business to run advanced analytics in near-real-time on data stored and processed by OLTP systems.

The session will focus on Azure services and related products like Azure Synapse Analytics ,Azure Synapse Serverless SQL pool,Azure Cosmos DB ,Apache Spark,Synapse Link & HTAP

Further Learning : https://aka.ms/AzSynapseAnalytics-LM-8/2

In this session, you will Understand Hybrid Transactional and Analytical Processing patterns, Describe the supported analytical workloadsand explain HTAP scenarios in the context of Synapse Link.

Speaker : Shivam Sharma

Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.

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