Change data capture (CDC) records insert, update, and delete activity that applies to tables in SQL Server, Azure SQL Managed Instance or Azure SQL Databases. In this Data Exposed episode with Mara-Florina Steiu, we will cover common use cases and scenarios for CDC, discuss key technical implementation details, and try out a CDC demo.     

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Whether it’s for reporting and offloading queries from production, there are things you need to keep in mind when using a Geo Replicated Azure SQL Database Readable Secondary.

Anna Hoffman speasked with MVP Monica Rathbun the challenges when it comes to performance tuning, what to keep in mind, and what to expect.

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In this episode of Data Exposed with Jason Anderson, learn what the ledger feature of Azure SQL Database is and where using ledger can help enable digital trust in your data. There will also be some quick demos on how to enable this exciting new capability and how to show to others that your data is in-fact, intact.

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Managed Identities for Azure Resources can be leveraged to provide applications running on Azure Services with password-free access to Azure SQL databases and simplifying aspects like credential rotation and secrets management. In this episode of Data Exposed with Silvano Coriani, we’ll look at how it works and will see it in action

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The Basic, Standard, and Premium service tiers fulfill a lot of customers’ needs.

For some customers, though, the General Purpose, Business Critical, and Hyperscale service tiers offer additional performance and ability that is required for certain workloads.

Even if you don’t require those abilities, the technology and infrastructure behind these are worth learning.

In this episode with Matt Gordon, we’ll discuss those service tiers as well as discussing the differences between Provisioned and Serverless deployments on the General Purpose tier. Come learn how to ramp up your Azure SQL Database experience!

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In this episode of Data Exposed with Sasha Nosov, learn how Azure Arc allows you to leverage Azure Services for your existing database applications hosted on-premises or in other public clouds, without changing or even stopping them.

Content & Time Stamps:

  • 0:00 Introduction
  • 0:45 What is Azure Arc
  • 2:30 About Azure Arc Enabled SQL Server
  • 3:03 Architecture of Azure Arc Enabled SQL Server (Public Preview)
  • 8:09 Environment Health Demo
  • 13:18 Azure Arc Enabled Data Services vs Azure Arc Enabled SQL Server
  • 17:00 What versions of SQL Server are supported
  • 17:45 Getting started & registering for Azure Arc enabled SQL Server

Linked servers enable the SQL Server and Azure SQL Database Managed Instance to read data from remote data sources and execute commands against the remote database servers.

In this video, Anna Thomas and Colin Murphy go over configuring linked servers in Azure SQL Database Managed Instance.

At the end, Anna briefly mentions creating a linked server to the readable secondary replica for read-heavy workloads.

Containers are taking over, changing the way systems are developed and deployed.

Just imagine if you could deploy SQL Server or even your whole application stack in just minutes. You can do that, using containers! In this session, we’ll get your started on your container journey learning how to deploy SQL Server in Containers.

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About Anthony Nocentino:

Anthony is the Founder and President of Centino Systems as well as a Pluralsight Author and a Microsoft Data Platform MVP, Linux Expert, and Corporate Problem Solver. Anthony designs solutions, deploys the technology and provides expertise on business system performance, architecture, and security. Anthony has a Bachelors and Masters in Computer Science with research publications in high performance/low latency data access algorithms and spatial database systems.

Microsoft continues to push the envelope on feature capabilities with every release of SQL Server. 

One of the more prominent features that was released with Microsoft SQL Server 2019 is the ability to resume or throttle certain index operations.

Have you ever want to just stop and then resume an index operation picking up where it left off?  Now you can! This feature alone magnifies the data professionals ability to have deeper granular control on how index operations affect their ecosystem as well as their work-life balance.  In this episode, John Morehouse gives a high-level look at how this feature works and how it can be applied seamlessly to your environment.

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