Azure Synapse is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems. Azure Synapse brings together the best of SQL technologies used in enterprise data warehousing, Spark technologies used for big data, Pipelines for data integration and ETL/ELT, and deep integration with other Azure services such as Power BI, CosmosDB, and AzureML. In this session we will see a brief overview of Azure Synpase and its Terminologies. We then try to see the various machine learning capabilities of Azure Synapse. In Azure Synapse, training machine learning models can be performed on the Apache Spark Pools with tools like PySpark/Python, Scala, or .NET. We will see an example of leveraging on the Text analytics cognitive service to perform Sentiment analysis on our source dataset in Azure Synapse. All throughout the process we will familiarize ourselves with various concepts like PySpark, Spark table, Azure data factory etc.
Solution Architect for Data Science, Artificial Intelligence/Machine learning developer, Innovation Lead, public speaker/blogger for AI/ML specially with respect to Microsoft technology stack, full stack development experience across variety of programming languages and platforms.
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