Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytics applications. Apache Spark pools in Azure Synapse Analytics has Apache Spark capabilities embedded. Data engineers, data scientists, data platform experts, and data analysts can come together within Azure Synapse Analytics where the Apache Spark cluster is running to quickly collaborate on various analytical solutions.

The session will focus on Azure services and related products like Azure Synapse Analytics, Azure Synapse Serverless Spark Pools, Azure Data Lake & Apache Spark

Learn how to perform data engineering with Azure Synapse Apache Spark Pools, which enable you to boost the performance of big-data analytic applications by in-memory cluster computing.

Further Learning- https://aka.ms/AzureSynapse-LM

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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