What is Microsoft’s Azure Synapse Analytics?

What is Microsoft’s Azure Synapse Analytics?

Azure Synapse Analytics can be called the service of these two worlds in terms of technology, security and performance from a single point.

It is the last published and comprehensive service in Microsoft’s Azure Analytics services.

  • Unlimited scalability,
  • Querying data without moving it,
  • End-to-end management of the analytical cycle

With these features, it is promoted as a New Generation Data Analytics platform.

So, why was this service created?

According to the researches, Analytics and Artificial Intelligence (AI) is one of the leading investment areas in every sector. We all say we are going digital and we talk about the importance of investing in these tools. However, when we look at the facts, unfortunately, most of the companies cannot use data effectively yet. But, the integration of data becomes very important in Reporting, Machine Learning *and *AI projects.

azure-synapse azure-synapse-analytics microsoft azure

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In this Tutorial, we will learn how to integrate Azure Purview and Azure Synapse Analytics capabilities to access data catalog assets hosted in Azure Purview from Azure Synapse.

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Co-authored by Rodrigo Souza, Ramnandan Krishnamurthy, Anitha Adusumilli and Jovan Popovic (Azure Cosmos DB and Azure Synapse Analytics teams) Azure Synapse Link now supports querying Azure Cosmos DB data using Synapse SQL serverless. This capability, available in public preview, allows you to use familiar analytical T-SQL queries and build powerful near real-time BI dashboards on Azure Cosmos DB data.

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This article will help you understand how to analyze Azure Cosmos DB data using Azure Synapse Analytics.

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In this article, we will send data/metrics from Azure Synapse Analytics to Azure log analytics workspace and build an alert and dashboard on top of it.

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In this article, I will discuss an Azure Database CI/CD approach using Azure Premium Function and Jenkins pipeline. I will only explain the architecture and the approach I took to implement the Database CI/CD pipeline.