Wade  Gulgowski

Wade Gulgowski

1625232300

Azure Storage Queues and tables explained NoSQL | Partition key | Row Key

https://www.youtube.com/watch?v=RqvcNjfwuNkThis video will helps you to understand basics of Azure storage Queues , difference between azure storage bus queue and azure storage queue,First in first out FIFO and azure tables concept including NoSQL ,Partition key and Row Key

we have showed how to create azure storage queue and tables in portal and included steps to query on azure table

Timeline :
azure storage explained : 0.00
azure storage queues hands on : 1.31
azure tables introduction: 3.31
azure table hands on : 5.51

Subscribe with below link 🖥🖥🖥
https://m.youtube.com/channel/UCpDM4kDe1J7DT8r_OoEpC7A?sub_confirmation=1

#azure #nosql

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Buddha Community

Azure Storage Queues and tables explained  NoSQL | Partition key | Row Key
Eric  Bukenya

Eric Bukenya

1624713540

Learn NoSQL in Azure: Diving Deeper into Azure Cosmos DB

This article is a part of the series – Learn NoSQL in Azure where we explore Azure Cosmos DB as a part of the non-relational database system used widely for a variety of applications. Azure Cosmos DB is a part of Microsoft’s serverless databases on Azure which is highly scalable and distributed across all locations that run on Azure. It is offered as a platform as a service (PAAS) from Azure and you can develop databases that have a very high throughput and very low latency. Using Azure Cosmos DB, customers can replicate their data across multiple locations across the globe and also across multiple locations within the same region. This makes Cosmos DB a highly available database service with almost 99.999% availability for reads and writes for multi-region modes and almost 99.99% availability for single-region modes.

In this article, we will focus more on how Azure Cosmos DB works behind the scenes and how can you get started with it using the Azure Portal. We will also explore how Cosmos DB is priced and understand the pricing model in detail.

How Azure Cosmos DB works

As already mentioned, Azure Cosmos DB is a multi-modal NoSQL database service that is geographically distributed across multiple Azure locations. This helps customers to deploy the databases across multiple locations around the globe. This is beneficial as it helps to reduce the read latency when the users use the application.

As you can see in the figure above, Azure Cosmos DB is distributed across the globe. Let’s suppose you have a web application that is hosted in India. In that case, the NoSQL database in India will be considered as the master database for writes and all the other databases can be considered as a read replicas. Whenever new data is generated, it is written to the database in India first and then it is synchronized with the other databases.

Consistency Levels

While maintaining data over multiple regions, the most common challenge is the latency as when the data is made available to the other databases. For example, when data is written to the database in India, users from India will be able to see that data sooner than users from the US. This is due to the latency in synchronization between the two regions. In order to overcome this, there are a few modes that customers can choose from and define how often or how soon they want their data to be made available in the other regions. Azure Cosmos DB offers five levels of consistency which are as follows:

  • Strong
  • Bounded staleness
  • Session
  • Consistent prefix
  • Eventual

In most common NoSQL databases, there are only two levels – Strong and EventualStrong being the most consistent level while Eventual is the least. However, as we move from Strong to Eventual, consistency decreases but availability and throughput increase. This is a trade-off that customers need to decide based on the criticality of their applications. If you want to read in more detail about the consistency levels, the official guide from Microsoft is the easiest to understand. You can refer to it here.

Azure Cosmos DB Pricing Model

Now that we have some idea about working with the NoSQL database – Azure Cosmos DB on Azure, let us try to understand how the database is priced. In order to work with any cloud-based services, it is essential that you have a sound knowledge of how the services are charged, otherwise, you might end up paying something much higher than your expectations.

If you browse to the pricing page of Azure Cosmos DB, you can see that there are two modes in which the database services are billed.

  • Database Operations – Whenever you execute or run queries against your NoSQL database, there are some resources being used. Azure terms these usages in terms of Request Units or RU. The amount of RU consumed per second is aggregated and billed
  • Consumed Storage – As you start storing data in your database, it will take up some space in order to store that data. This storage is billed per the standard SSD-based storage across any Azure locations globally

Let’s learn about this in more detail.

#azure #azure cosmos db #nosql #azure #nosql in azure #azure cosmos db

Wade  Gulgowski

Wade Gulgowski

1625232300

Azure Storage Queues and tables explained NoSQL | Partition key | Row Key

https://www.youtube.com/watch?v=RqvcNjfwuNkThis video will helps you to understand basics of Azure storage Queues , difference between azure storage bus queue and azure storage queue,First in first out FIFO and azure tables concept including NoSQL ,Partition key and Row Key

we have showed how to create azure storage queue and tables in portal and included steps to query on azure table

Timeline :
azure storage explained : 0.00
azure storage queues hands on : 1.31
azure tables introduction: 3.31
azure table hands on : 5.51

Subscribe with below link 🖥🖥🖥
https://m.youtube.com/channel/UCpDM4kDe1J7DT8r_OoEpC7A?sub_confirmation=1

#azure #nosql

Kole  Haag

Kole Haag

1602403200

What is NoSQL and How is it Utilized?

Posted on September 25, 2020 by Dean Conally | Updated: October 8, 2020

Category: Tutorials | Tags: CassandraColumnsDatabaseDatabase ManagementDatabase StructureDB2Document StoresDynamic SchemaExtensible Record StoresGraph StoresJSONKey-ValueMSSQLMulti-RowMySQLNodeNode Relationship NodeNon-Relational DatabasesNoSQLNoSQL ModelQueryRowsScalabilitySchema FreeSQLStoresTablesWide-Column

Reading Time: 5 minutes

What is NoSQL?

A NoSQL or a NoSQL Database is a term used when referring to a “non SQL” or “not only SQL” database. NoSQL databases store data in a different format than a traditional relational database management systems. This is why NoSQL is often associated with the term “non-relational” database. Simply put, NoSQL databases are modern databases with high flexibility, blazing performance, and built for scalability. These databases are used when you require low latency and high extensibility while working with large data structures. The versatility of NoSQL is due to the nature of as being unrestricted in comparison to relational databases models such as MySQL or DB2.

SQL vs. NoSQL Comparison

There are multiple differences between SQL and NoSQL database types. In the table below, we will compare some of the most critical variations.

#tutorials #cassandra #columns #database #database management #database structure #db2 #document stores #dynamic schema #extensible record stores #graph stores #json #key-value #mssql #multi-row #mysql #node #node relationship node #non-relational databases #nosql #nosql model #query #rows #scalability #schema free #sql #stores #tables #wide-column

Osborne  Durgan

Osborne Durgan

1591268870

Use Azure Key Vault for Secrets in Azure DevOps Pipelines

This blog shows how Azure Key Vault can be used in an Azure DevOps Pipeline build. By using Azure Key Vault to handle all your secrets or certificates, no secrets need to be saved to code, files, or other storage for the initial secrets required in a solution.

#azure #devops #azure cli #azure key vault #key vault

Osborne  Durgan

Osborne Durgan

1592477423

Automatically Updates Access Tier in Azure Blob Storage

In this post, let us quickly take a look at how to automatically updates the access tier in Azure Blob Storage. Azure Storage supports three different levels of storage tiers for Blob objects. They are Hot storage tier, Cool storage tier, and Archive storage tier. This enables cost-effective usages of blob data storage. With the different levels of storage tiers, you can choose what types of tier needs for your data.

#azure #azure blob storage #azure storage