This article will provide a detailed walkthrough for retaining items in Cosmos DB for different durations and on different levels.

This article will explore Continuous backup and steps to configure it for a new Azure Cosmos DB account or an existing Cosmos DB account. Azure Cosmos DB is a fully managed and highly secure, NoSQL database service on the Azure cloud that is designed for modern-day application development. It automatically runs backup for its databases on separate Azure blob storage at regular intervals without affecting the performance, availability, and provisioned resource units (RUs) to ensure data protection from a data recovery standpoint which can be needed in case of data corruption, deletion, or wrongly data updates.

This article will explain about Global Distribution feature of Azure Cosmos DB and how to enable it to distribute data across regions. Azure Cosmos DB is developed to address modern application requirements in this digital era. There are different requirements to run web-based or online internet-facing applications smoothly. You need to cater enormous amount of data that can generate with very high velocity and this will cause huge numbers of read and write operations on the database. Your database needs to be responsive and quickly show the updated details for other customers. You might also need to address autoscale which will be used to address unpredictable workload during any discount offer, or festive seasons. These modern days applications must also develop in a way so that if you need to add another location to expand your business to the different regions so you don’t need to do many changes and it could be easily adjusted to expand the application for other regions.

This article will explore an overview of Data explorer and how to access and manage Azure Cosmos DB using Data Explorer. Azure Cosmos DB is a fully managed, highly secure, and globally distributed NoSQL database that is designed for new-age modern application development. As this is fully managed so you don’t need administrators to manage its maintenance, patching, upgrades, capacity, and space management, auto-scaling in case of workload increase, etc. It is suitable for modern digital applications like online portals based on video streaming, gaming, Internet of things applications, online retail websites, etc.

This article will talk about the periodic backup policy of the Azure Cosmos DB service offered by Azure cloud. I have already explained the backup options available for Cosmos DB in my last article. I would recommend you read it by accessing the attached link “Understanding Azure Cosmos DB backups” to understand the backup policies of Azure Cosmos DB. Today, I am going to explain one of the backup options Periodic backup, and steps about how to configure it for a cosmos DB account.

This article will explore an overview of Azure Cosmos DB, we will also discuss how to create Cosmos DB along with its uses on why we need to choose Cosmos DB.

In this article, we will learn how to report data from Azure Cosmos DB using Power BI which is one of the most popular reporting tools in the industry.

In this article, we will learn what continuous backup is and how to configure it on an Azure Cosmos DB account.

In this article, we will learn how to configure the Azure Search instance to import data from Azure Cosmos DB.

In this article, we will learn how to create an instance of Azure Search service and attach it to an instance of Azure Cosmos DB.

This article is a part of the series Learn NoSQL in Azure where we will learn about the DocumentDB SQL API in detail. Azure Cosmos DB is a serverless NoSQL database service provided by Azure that is highly available, globally distributed, and responds within the minimum latency. Due to these features, it is a perfect fit for building modern-day applications using the DocumentDB or SQL API of 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 are going to learn Azure Cosmos DB. This article is a part of the series Learn NoSQL in Azure, where we will explore all the different types of non-relational databases that are supported in Azure at the moment. Azure is one of the most popular public cloud platforms that has a big market share all over the world. Cosmos DB is a part of the Databases section in Azure that allows customers to create and use NoSQL or non-relational databases and consume these at scale. You can leverage Cosmos DB to build highly scalable and robust cloud-based applications that support modern big data workloads. Let us understand more about what a NoSQL database is all about and how it is different from a relational database. Although this article focuses on the NoSQL related to Azure, it is to be known that other open-source projects support NoSQL databases like Apache Cassandra, etc. However, these topics are out of the scope of this article and we will focus on Azure mostly.

In this article, we will learn how to analyze data hosted in Azure Cosmos DB using Notebooks.

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.