Partitioning Architecture in Azure Cosmos DB.


Introduction

In my first article in Cosmos DB, I talked about the basic information about How to provision Cosmos DB, and today we will complete our discussion in How Cosmos DB Partitioning work, and What are the Logical Partition and Physical Partition then in the upcoming posts we will talk more and more about Designing and Architecture Layers for Cosmos DB Such as Consistency levels in Cosmos DB Which Consistency levels are suitable with your APP, What are Cosmos API choices, Disaster Recovery and High Availability in Cosmos DB Keep Following ..

  • Cosmos DB Physical Partition
  • Cosmos DB Logical Partition
  • Cosmos DB Partition Key
  • How to Choose the Right Partition Key
  • Resources
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Full Architecture for SQL Backup to Blob Storage in Cloud


One of the tasks that any DBA should know How to take backup to URL or restore a backup from URL and this’s the easiest part very simple steps and command but this is not our main objective, we should understand all of the components how it is working, what is the different options, what is the changes happened before SQL Server 2016 and After SQL Server 2016 to take the maximum benefits from this service or feature here in my article I will try to conclude all of this things as much as I can.

  • Introduction.
  • Benefits from taking backup to URL.
  • What is Azure Storage Blob?
  • What are the Pre-requisites to do SQL backup on the URL?
  • What is the Difference between SAS Token and access key Azure Storage
  • When I Should use SAS Token or access key Azure Storage
  • When the Backup files will be saved as Block Blob or Page Blob
  • How to Generate and configure Access Policy, Access key, and Shared Access Signature
  • Create SQL Server Credential using access key or SHARED ACCESS SIGNATURE
  • Backup to Azure Storage and restore from Azure Storage.
  • Validate the Backup File.
  • Notes and Limitation for SQL backup to URL.
  • References and Resources.
SQL backup to Azure Storage
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Big Data Storage in Microsoft Azure


Azure storage is a Microsoft solution designed to store your data on it with different models (Blobs, Tables, Queue, File Shares, and Disks) to know the differences, usage, High Availability and the architecture for Azure storage I highly recommend you to check this path you will find a lot of tips and articles About Azure storage subject.

Now let us take a look about storage technology when we talk about Big data, what is the best option for our data and how I can choose the best option, based on what so let us think from architecture and design point of view.

Microsoft provided a variety of options to store your big data on it based on your requirements and based on the data type, in this article we will discuss 4 options that can be used as Azure storage solution for big data.

  • Azure Storage Blobs
  • Azure Data Lake Store
  • Azure Cosmos DB
  • Azure HBase on HDInsight
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SQL Server Stretch Database to Azure


One of the interesting feature announced in SQL Server 2016 and later to move your cold data to Azure and the data will be accessible from your APP with ZERO development cost no change in the APP level at all and no change on the Query level in SQL Server it is just configuration and implementation for Stretch Database from on-premises to Azure, IF you are DBA and you have tables with big size and you need to reduce it, if you have Cold data and the APP not accessing it frequently, If you need to reduce the backup and restore time at this time this feature for you.

Before starting on the benefits of this feature and How to implement it I highly recommend you to take a look into this page to learn more about Azure SQL https://lnkd.in/edn6nyY/#AzureSQL

  • Benefits from SQL Server Stretch Database
  • How to Configure the SQL Server Stretch Database to Azure
  • Validate the Database Stretch configuration and Data movement
  • How to Disable the Stretch data
  • References
  • Keep Following
  • Cloud Tech Website blog survey
SQL Server Stretch Database
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Azure SQL Database Tiers Options


Microsoft azure providing multiple options for Azur SQL Database Tier, supported Azure Single Database, Azure Elastic Database, and Azure managed instance before starting for what is the options and the details of it if you need to learn more about Azure SQL provisioning, security, High availability, Performance, …etc. check this link you will find very useful articles covering the most basic topics in Azure SQL Database. ➡️ https://lnkd.in/eABFfrs 💨✅ Today I will start to explain the Purchase mode and database tiers related to Azure SQL Single, Azure SQL Elastic Database and Azure SQL Manged instance.

Azure SQL Database Tiers
  • Azure purchasing models
  • Azure SQL Single Database Tiers Options
  • Azure Single Database Tiers on DTU-Based
  • Azure Single Database Tiers on vCore-Based (GP)
  • Azure Single Database Tiers on vCore-Based (Hyperscale)
  • Azure Single Database Tiers on vCore-Based (Business Critical)
  • Azure Elastic Database Tiers Options
  • Azure Elastic Database Tiers on DTU-Based
  • Azure Elastic Database Tiers on vCore-Based
  • Azure SQL Managed Instance Tiers
  • References
  • Keep Following

Azure purchasing models:

Microsoft Azure supported two Purchase model:

  1. DTU-Based Model: Supported Azure SQL Database only
  2. vCore-Based Model: Supported Azure SQL Database and Managed instance

For more information check this article

Azure purchasing models
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