Azure Cosmos: The Best Way to Store and Analyze Big Data

Azure Cosmos is the best way to store and analyze big data. With its scalability and flexibility, Cosmos can handle any size data set.

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What is Azure Cosmos?

Azure Cosmos is a global database service that offers turnkey global distribution, elastic scalability of throughput and storage, and gives you the peace of mind of industry-leading availability and latency guarantees—backed by SLAs.

What are the benefits of using Azure Cosmos?

Azure Cosmos is a distributed database designed to enable you to quickly build planet-scale applications. It supports document, key-value, graph, and columnar data models. You can use the Azure Cosmos SDKs for popular programming languages to access data in your Azure Cosmos account.

Azure Cosmos offers the following benefits:

– elastically scalable throughput and storage: You can elastically scale both the read and write throughput of your Azure Cosmos account as your application grows. In addition, you can automatically and elastically scale the storage capacity of your account by only paying for the storage you use.

– globally distributed: You can replications of your data across any number of Azure regions worldwide with a single click in the Azure portal. Your application can then read and write data locally for fast performance with guaranteed low latency and high availability, regardless of where users are located or how many requests your application makes.

– always on: Your data is always available when you need it with comprehensive SLAs for both read and write availability, backed by industry-leading service level agreements.

– automatic indexing: All data stored in an Azure Cosmos account is automatically indexed without requiring you to explicitly schema or configure indexes. You can use these indexes to support fast queries over all your data without incurring any additional costs.

How to get started with Azure Cosmos

What do you need to use Azure Cosmos?

There are three things you need to get started with Azure Cosmos: a subscription, an Azure Cosmos account, and the Azure Cosmos DB SDKs.

1) A subscription. You need an Azure subscription to create an Azure Cosmos account. If you don’t have an Azure subscription, you can create a free account now.

2) An Azure Cosmos account. An Azure Cosmos account defines the environment for your Cosmos database and containers. To use the SQL API, you need to create a SQL API account in your subscription. Follow these steps to create an Azure Cosmos account through the Azure portal:

3) The SDKs. The SDKs make it easy for you to work with data in your containers from various languages and platforms. The first time you create a container in your account, you’ll be prompted to select your preferred programming language for working with data in that container-JavaScript, .NET, Java, Python, or Node.js. After you’ve created a container, you can download one of these language-specific SDKs from the Quick start tab for that container in the portal, or get the SDKs from GitHub:

4) Follow the instructions in Getting Started with the SQL API to create a database and container and run some quick queries using the Data Explorer in the portal

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How to create an Azure Cosmos account

Creating an Azure Cosmos account is easy. You can create an account through the Azure Portal, the Azure CLI, PowerShell, or the Azure SDKs.

If you want to try out Azure Cosmos without creating an account, you can use the Cosmos DB Emulator. The emulator provides a local environment that emulates the Azure Cosmos DB service.

To create an Azure Cosmos account through the portal:
1. Sign in to the Azure portal.
2. Select Create a resource > Databases > Azure Cosmos DB.
3. In New account, enter the settings for the new account:
– Subscription: Your subscription type. If you have a free trial subscription, you can select it here. Otherwise, select your pay-as-you-go subscription or your enterprise agreement subscription.
– Resource group: Create a resource group or select an existing one. For more information, see Using resource groups to manage your resources.
– Account name: A unique name for your Azure Cosmos DB account endpoint (such as The URI cannot contain uppercase characters and must be between 3 and 50 characters in length.) At least one letter must be present if special characters are used such as “&”, “+”, “(“, “-“, “.”, “_”, or “$”. The name can also contain only numbers if at least two numbers are present..

After you fill out the form, select Review+create to review your Azure Cosmos DB settings. You can also expand additional settings to configure advanced options such as geo-replication, virtual networking, and adding multiple containers to your database through additional tabs on this page

How to use Azure Cosmos

Azure Cosmos is a Microsoft cloud storage and analytics solution that can be used to store and analyze large amounts of data. It is a cost-effective solution that is easy to use and can be scaled to accommodate your needs.

How to create a database

Creating a database in Azure Cosmos is a simple matter of running a CREATE DATABASE command from the Azure CLI, as shown in the following example:

az cosmosdb sql database create – name – resource-group

This command will create a new database with the name specified. If you don’t specify a name, the default name will be used. The resource group is where your database will be created and stored. You can either create a new resource group or use an existing one.

Once the database has been created, you can start adding data to it. To do this, you need to first create a container. A container is a logical partition of your data and is used to store data items (called items in Azure Cosmos). Each container has a unique name and can be in any database. In most cases, you will want to have one container per entity type (for example, one container for customer data and another for order data).

To create a container, run the following command:

az cosmosdb sql container create – database-name – name – partition-key “id” – resource-group

This command will create a new container with the specified name and partition key. The partition key is used to distribute data across partitions (see below) and should be chosen based on your access patterns. In most cases, the best choice is the column that will be used most often in queries.

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How to create a container

Assuming you have an Azure Cosmos account, the first thing you need to do is create a container. A container is a logical partition in your database where data is stored. You can create as many containers as you like in your account, and each container can store any amount of data.

Creating a container is simple: just navigate to the Azure Portal, select your Cosmos account, and click on the “Add Container” button. From there, you’ll need to provide a name for your container and specify its physical settings. The most important setting here is the partition key: this is what determines how data will be distributed across your database. Once you’ve created your container, you’re ready to start adding data!

How to add data to a container

Azure Cosmos is a Fully Managed, Elastic and globally distributed Database-as-a-Service (DBaaS) built for modern app development. It offers limitless horizontal scalability with guaranteed 99.99% high availability, backed by industry-leading SLAs. Azure Cosmos provides turnkey global distribution across any number of Azure regions with a single click. It transparently replicates your data to all regions associated with your Azure Cosmos account, ensuring low-latency reads and writes anywhere in the world.

How to query data in Azure Cosmos

Azure Cosmos is a globally distributed, multi-model database service for managing data at any scale. It is a great choice for storing and querying big data. In this article, we will show you how to query data in Azure Cosmos.

What are the different ways to query data in Azure Cosmos?

There are three different ways you can query data in Azure Cosmos:

1. Using the SQL (Structured Query Language) dialect of Cosmos
2. Using the Gremlin traversal language
3. Using the Azure Cognitive Search query language

How to use the SQL API to query data

Azure Cosmos DB is a globally distributed, NoSQL database service that supports multiple data models, including key-value, document, and graph. Azure Cosmos DB enables you to elastically and independently scale throughput and storage across any number of Azure regions worldwide. It offers guaranteed low latency at the 99th percentile, 99.99% high availability, and automatic and instant scalability.

How to scale Azure Cosmos

Azure Cosmos is a highly scalable and distributed database system that is perfect for storing and analyzing large amounts of data. It is easy to scale Azure Cosmos by adding more nodes to the database cluster. You can also add more storage to the nodes to increase the capacity of the database.

How to scale up an Azure Cosmos account

If you find that your application is write-heavy, or needs more predictable performance, you can scale up the throughput of your account. Scaling up increases the provisioned throughput of your account, and automatically scales the associated resources.

You can scale up using the Azure portal, Azure CLI, or REST API.

In the Azure portal, in the Settings section of your account overview page, select Scale out. In the Throughput tab, select the maximum number of request units per second (RU/s) that you want to provision for your account, as shown in the following image:

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How to scale down an Azure Cosmos account

If you decide that you no longer need an Azure Cosmos account, or if you want to shift resources to another account, you can scale down your account. To do so:

1. Delete all databases and containers in your account. You can use the Data Explorer to do this.

2. In the Azure portal, select the resource group that contains your Azure Cosmos account, then select the account.

3. From the overview page for your account, select Scale down. This will open a blade where you can confirm that you want to delete your account.

4After you confirm that you want to delete your account, it will be immediately disabled and all data within it will be irretrievably lost.

Azure Cosmos pricing

Azure Cosmos is a global, horizontally scalable, multi-model database service that supports document, graph, and key-value models, offers multiple well-defined consistency levels, Elastic scalability of storage and throughput, and guaranteed single-digit millisecond latencies at the 99th percentile. It’s pretty pricey though. In this section, we’ll talk about the pricing of Azure Cosmos.

What are the different pricing tiers for Azure Cosmos?

Azure Cosmos is currently offered in two pricing tiers, Standard and Premium.

With the Standard tier, you can scale your database up and down with fewer limits on storage and throughput. The Standard tier also allows for multi-region deployments so your database can be closer to your users for lower latency.

The Premium tier is a fully managed service that offers higher SLAs for availability and performance, as well as unlimited storage and throughput. Additionally, the Premium tier supports global deployments so your data can be as close to your users as possible for even lower latency.

How to calculate the cost of using Azure Cosmos

You can use Azure Cosmos for your needs without having to worry about upfront costs. You only pay for the resources that you use, and you can scale those resources up or down as needed. The following table lists the different types of resource utilization and their associated costs so that you can estimate your total cost of using Azure Cosmos.

-cpu – The amount of storage used by the container (in GBs) multiplied by the number of hours used per month. This is charged at $0.008/hour.
-memory – The amount of storage used by the container (in GBs) multiplied by the number of hours used per month. This is charged at $0.010/hour.
-storage – The amount of storage used by the container (in GBs) multiplied by the number of months used per year. This is charged at $0/month.
-I/O – The number of operations (read, write, or delete) performed on the data in the container multiplied by the number of months used per year. This is charged at $0/month for up to 50 million requests, and $0.02/million requests thereafter.

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