Summary
In this chapter, we learned how to create a linked service for machine learning in Azure Synapse and how to use a key vault to store secrets for cognitive services. We also learned how to use Azure ML with Azure Synapse in order to use new or existing ML models to enrich our data. We then learned how can we use Cognitive Services directly on our data without writing even a single line of code. There are various steps involved before we can start using Cognitive Services on our data and we went through all these technical requirements. Sample notebooks were also provided to understand the approach to using Spark AutoML and Spark MLlib on the data.
With this chapter, we've covered and understood all the concepts of Azure Synapse. In the next chapter, we will learn different ways to perform backup and restore operations in Azure Synapse.
