In this article, we will learn how to analyze data hosted in Azure Cosmos DB using Notebooks.Read more »
In this article, we will learn how to create a serverless instance of Azure Cosmos DB as well as understand its applicability in use-cases.Read more »
Microsoft Azure offers hundreds of cloud products, with more on the way. In the database space, Microsoft offers Azure Cosmos DB, a NoSQL database product. We can build Java, .Net, etc. applications around Cosmos DB resources. To extend this capability, this article will show how to query Cosmos DB directly from SQL Server.Read more »
In the previous article, Start your journey with Azure Cosmos DB, we provided you with the backpack that helps you to start your journey with Azure Cosmos DB and filled it with detailed information about the Cosmos DB usage benefits, how to create your first Cosmos DB account, create a new database, container, and items and finally how to query the data stored in that container.Read more »
In this article, we will discuss why we need to use Azure Cosmos DB and how to configure it to store and query our data.Read more »
In many situations, we will develop, test or prove new concepts by horizontally scaling new SQL API containers in Azure Cosmos DB over possibly using existing containers. As we’ve seen in previous tips, we can create and remove Cosmos database accounts and databases by using the Azure Portal or PowerShell’s Az module along with making some updates to the configuration, such as the RUs for performance reasons. Similarly, we can create and remove a container through the Azure Portal along with creating and removing the container with PowerShell’s Az module.Read more »
Now that we can create and remove an Azure Cosmos DB and databases that we can use for automation purposes, along with obtaining some information about these accounts, we’ll look at making some changes to these accounts for contexts related to performance. It’s possible that our unit and security testing or development with proof-of-concepts may face performance problems where we need to upgrade the settings of our database account. In this tip, we’ll be working with the SQL API database layer in a Cosmos database account by building on our get, create and remove automation to update its performance.Read more »
Our testing or development may call for dynamic creation on the database level for Azure Cosmos DB rather than the account level. As we’ve seen with dynamically working with a Cosmos database account using PowerShell, we can create, remove, and obtain properties of the account. Identically, we can do this on the database level as well and we may use this in testing if we need the same Cosmos database account for other testing purposes. Development situations may also involve use cases where we want to test a concept and dynamically create a database within our Cosmos database account. In this tip, we’ll look at working with our Azure Cosmos database account on the database object level where we do nothing to manipulate the account itself, only add databases to the account once it’s been setup.Read more »
After we set up our Azure Cosmos DB, we may want to get, add to, or update existing properties. We may use some of the get functionality that PowerShell provides to dynamically save values to encrypted configuration files or tables that we use for application purposes and this functionality could be added to the creation of the Cosmos database account, or a separate step in addition to the creation. In secure contexts, this ensures security without the properties after passing through human eyes since they are saved directly to an encrypted location. In the same manner, we may want to regenerate the keys for the account and save the connection strings with the new keys.Read more »
When managing Azure Cosmos DB, we can use the Azure portal and create resources through the interface or use the command line in the portal and create resources. PowerShell also supports some functionality for creating and managing these resources, which can help development teams automate the creation of these databases for quick creations, unit and security tests, removals if the resources aren’t required following the tests. We can also use these scripts for creating templates that we may use in multi-scaling creations (like databases in a group designed for horizontal scale). Generally, in one-off situations, the Azure Portal will suffice for deployments if there is a cost to develop automation that is not required. In this tip, we’ll look at the process of creating a blank and removing the same Azure Cosmos DB.Read more »
As we’ve worked with Azure Cosmos DB, we’ve seen that we can store data within fields and the fields of each document don’t always have to match – though we still want some organization for querying. The fields and values storage becomes useful when working with object-oriented languages as these fields can be keys that we use with values that we extract as properties. For an example, the below PowerShell line creates a JSON document in an object and we can see that we can extract the values of these keys in the JSON object.Read more »
Since we will sometimes require removing documents in Azure Cosmos DB, we’ll want to be able to specify the documents for removal. In some cases, this will be as simple as specifying a field for removal, such as removing one type of workout in our temporary database we’ve created. In other delete situations, we’ll want to remove if the value of the field isn’t what we expect – such as greater than what we want. This applies to updates as well – we may want to drill into a specific value range for an update. In this tip, we’ll look at using operators with strings, numeric types and dates.Read more »
In the first part of this series Getting Started with Azure Cosmos DB, we looked at using Azure Cosmos DB for saving an individual’s fitness routine and why this database structure is better for this data than a SQL database while also showing that we still have to organize our structure like a file system organizes files. In this part of our series, we’ll begin looking at the terminology translation between NoSQL and SQL along with running updates for our documents and queries with filters that return some fields in our document, but not other fields.
In the past two years, we’ve seen an explosion in growth with document-oriented databases like Azure Cosmos DB. MongoDB – one of the major document databases – went live on the Nasdaq and attracted some attention in the past year as well. While more developers are using the document structure for some appropriate data models, less than 10 years ago, some in the industry were predicting that document databases were unnecessary and wouldn’t last because all data could be flattened to fit the SQL model. I took the opposite approach, being an early adopter of MongoDB along with continuing to use SQL databases as I saw opportunities in both SQL and NoSQL for various data structures. While some data do fit the SQL model and SQL will continue to exist, some data are best for document databases, like Azure Cosmos DB. In this series, we’ll be looking at the why and how of document databases.
In our last chapter, we talked about Cosmos DB, which is available in Azure and explained that it is an Azure Database used to store NoSQL documents.
In this new article, we will show how to create and query the database from zero. The only requirement is to have an Azure Account. If you have an Azure account, this tutorial will take you just 10 minutes (if not, you can complain in the comments section below 😉 ).Read more »
In the Azure Portal, you will find the option to install Azure SQL Cosmos DB. So, what is Cosmos DB, exactly?Read more »