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https://store-images.s-microsoft.com/image/apps.10998.2ee62f9c-0f70-4307-8d3b-f18d3ab97c6b.c455dc42-f924-4ba0-9e77-605840ffe552.1763f8df-946f-469c-8197-f2587679ae93
695 US$

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Dynamics Edge - San Jose, CA - 2935 N 1st
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    • NoSQL workloads to Azure Cosmos DB- 1 day Workshop

    Dynamics Edge - San Jose, CA - 2935 N 1st

    NoSQL workloads to Azure Cosmos DB

    This course will teach the students what is Cosmos DB and how you can migrate MongoDB and Cassandra workloads to Cosmos DB.

    This course will teach the students what is Cosmos DB and how you can migrate MongoDB and Cassandra workloads to Cosmos DB. The primary audience for this course is database developers who plan to migrate their MongoDB or Cassandra DB workloads to Azure using Cosmos DB.

    Successful students starts with a fundamental knowledge of cloud computing concepts and professional experience in configuring NoSQL applications. Specifically: The fundamental concepts of partitioning, replication, and resource governance for building and configuring scalable NoSQL applications that are agnostic of Cosmos DB API, Experience with Azure, such as deploying and managing resources.

    Specifically:

    • The fundamental concepts of partitioning, replication, and resource governance for building and configuring scalable NoSQL applications that are agnostic of Cosmos DB API.

    • Experience with Azure, such as deploying and managing resources

    COURSE OUTLINE

    Module 1: Building Globally Distributed Applications with Cosmos DB

    Module 2: Migrate MongoDB Workloads to Cosmos DB

    • Lab : Migrating MongoDB Workloads to Cosmos DB

    Module 3: Migrate Cassandra DB Workloads to Cosmos DB

    • Lab : Migrating Cassandra DB Workloads to Cosmos DB
    Další informace
    NoSQL workloads to Azure Cosmos DB
    https://store-images.s-microsoft.com/image/apps.60630.2ee62f9c-0f70-4307-8d3b-f18d3ab97c6b.c455dc42-f924-4ba0-9e77-605840ffe552.efe74f48-a6ba-4a8f-8cc9-4e9894fface1
    https://store-images.s-microsoft.com/image/apps.60630.2ee62f9c-0f70-4307-8d3b-f18d3ab97c6b.c455dc42-f924-4ba0-9e77-605840ffe552.efe74f48-a6ba-4a8f-8cc9-4e9894fface1