Category: Understanding data flows
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Designing scalable databases, Exams of Microsoft AZ-304, Microsoft AZ-304 Certifications, Provisioned throughput, Understanding data flowsConsistency levels – High Availability and Redundancy Concepts
Azure Cosmos DB offers a range of choices for defining consistency between replicas, known as consistency models. Strong consistency and eventual consistency are at two […]
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Exams of Microsoft AZ-304, Microsoft AZ-304 Certifications, NoSQL databases, Provisioned throughput, Understanding data flowsAzure virtual machine scale sets – High Availability and Redundancy Concepts
Azure VM scale sets automate the process of horizontally scaling your application across multiple VMs automatically. VMs in a scale set are automatically distributed across […]
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Azure Synapse Analytics, Microsoft AZ-304 Certifications, NoSQL databases, Provisioned throughput, Understanding data flowsUnderstanding virtual machine availability – High Availability and Redundancy Concepts
In the previous two chapters, we examined how to create scalable databases and the different options for integrating them using data flows. This chapter looks […]
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Azure Synapse Analytics, Consistency levels, Microsoft AZ-304 Certifications, NoSQL databases, Provisioned throughput, Understanding data flowsFault domains and update domains – High Availability and Redundancy Concepts
Within Azure’s data centers, the hardware has built-in fault domains. A fault domain is a group of VMs that share the same power and network […]
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Azure Synapse Analytics, Consistency levels, Designing scalable databases, Microsoft AZ-304 Certifications, Provisioned throughput, Understanding data flowsPutting it all together – Options for Data Integration
For many, a combination of tools may be the best option, and, depending on your exact requirements, you may use a combination of toolsets for […]
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Azure Synapse Analytics, Consistency levels, Designing scalable databases, Exams of Microsoft AZ-304, Microsoft AZ-304 Certifications, Understanding data flowsAzure Synapse Analytics – Options for Data Integration
Azure Synapse Analytics was originally called Azure Data Warehouse. As thename suggests, it was built as a particular type of SQL database engine for storing […]
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Consistency levels, Exams of Microsoft AZ-304, Microsoft AZ-304 Certifications, NoSQL databases, Understanding data flowsAzure-hosted IR – Options for Data Integration
An Azure-hosted IR is fully managed by Azure; these IRs can run Data flow, Data movement, and Dispatch activities both on public and private networks. […]
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Designing scalable databases, Exams of Microsoft AZ-304, Microsoft AZ-304 Certifications, Provisioned throughput, Understanding data flowsComparing integration tools – Options for Data Integration
One of the greatest benefits of using cloud services such as Azure is that it gives you the ability to create the necessary resources required […]
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Encryption in use – Creating Scalable and Secure Databases
TDE protects data against physical disk theft. However, there are times when you need the data to be protected within the database itself. You may […]
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Azure Synapse Analytics, Consistency levels, Microsoft AZ-304 Certifications, Provisioned throughput, Understanding data flowsSecuring databases with encryption – Creating Scalable and Secure Databases
When storing data in a database, a key question many organizations will need to know, especially when that data is being held with a public […]
Categories
- Azure Synapse Analytics
- Consistency levels
- Designing scalable databases
- Exams of Microsoft AZ-304
- Microsoft AZ-304 Certifications
- NoSQL databases
- Provisioned throughput
- Understanding data flows
Recent Posts
- Consistency levels – High Availability and Redundancy Concepts
- Understanding Cosmos DB availability – High Availability and Redundancy Concepts
- Understanding SQL database availability – High Availability and Redundancy Concepts
- Understanding Azure storage resiliency options – High Availability and Redundancy Concepts
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