New Training: Describe Non-Relational Data Workloads
In this 7-video skill, CBT Nuggets trainer Ben Finkel covers various NoSQL database offerings on the Azure public cloud service and the pros and cons of the different services. Watch this new Azure training.
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This training includes:
53 minutes of training
You’ll learn these topics in this skill:
Non-Relational Data Workloads
Recognizing Non-Relational Data Workloads
Comparing IaaS, PaaS, and SaaS
Non-Relational Data Structures
Azure Cosmos DB
Azure Storage Tables
Azure Storage Blobs, Files, and Disks
For Caching and Session Data, Azure NoSQL is Your Best Bet
One of Azure’s greatest strengths is the fully managed cloud database services it provides that are intelligent and flexible. The majority of them are relational database solutions, like Azure SQL, Managed Instance, SQL on VMs, or PostgreSQL. But Azure also offers Cosmos DB and Azure Cache for Redis for data needs that are non-relational.
NoSQL is great when all the data you’re working with doesn’t fall neatly into one category of structured, semi-structured or unstructured. Generally, when applications interact with NoSQL databases, little translation is needed, since the form the data is stored in is nearly the same as the form it takes in the code.
Particularly well suited to NoSQL databases are cached data and session data. If your applications depend on both database query results and static content, a NoSQL redis can keep them on hand with incredible throughput. And if you need to access session data, cookies or output pages quickly, an Azure NoSQL redis handles those requests with far fewer web-compute resources than their SQL counterparts.
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