SQL Data Sync allows you to synchronize data across multiple Azure SQL databases and on-premises SQL Server databases.

In this article, how to synchronize Azure SQL database with on-premises SQL Server database will be shown.

SQL Data Sync is a service that allows synchronizing data across multiple Azure SQL databases and on-premises SQL Server databases.

In this article, a base concept of how the SQL Data Sync service works will be explained as well as what the requirements and limitations are when want to create data synchronization by using SQL Data Sync

The below screenshots and code samples are valid at the time of writing (May 2018) but as things in Azure can change so quickly, please check the latest documentation if a code sample doesn’t work as expected!

Introduction

When you practice and play with the Azure Storage, you spent money because you need to pay for the service. This obviously provides an incentive to discover a way to emulate the Azure Storage behavior.

In this article, we will use an emulator and learn how it works.

Database administrators have a lot of tasks and responsibilities but perhaps the most challenging task is performance tuning. Because performance tuning issues can cause huge problems in the business area, database administrators have to monitor performance metrics and have to get immediate, if not sooner, notifications when the performance values cross an optimal state. Generally, this notification comes by e-mail.

In this article, we will discuss the k-means algorithm and how can we develop a k-means model on Azure Machine Learning Studio.

Machine learning is an area of ​​artificial intelligence that helps us develop relationships between data and predict the future. There are many secrets that are hidden in the data. To discover these secrets, we need Machine Learning algorithms. Machine learning plays the key role in leveraging existing data to exploit business opportunities.

Most of the DBAs, Data Scientists, BI and Database developers are working on SQL Server on-premises. Is it time to migrate to the Cloud?

In this new article, we will talk about numbers, statistics, Azure technologies like Virtual Machines with SQL Server, Azure SQL, Azure Data Factory, Azure Machine learning and other technologies.

Linked servers allow to access data from another SQL Server or another data source (e.g. Excel) by using SQL Server Management Studio (SSMS) or Transact-SQL.

This article will explain how to create and configure a linked server to retrieve data from an Azure SQL database. Also, we will explain how to solve some common problems/issues during the process of creating a linked server to an Azure SQL database.

Introduction

Azure Cosmos DB is a low-latency, high throughput, globally distributed, a multi-model database which can scale within minutes and offers 5 consistency options to let you decide how to deal with the CAP theorem.

Azure Cosmos DB used to be known as Document DB, but since additional features were added it has now morphed into Azure Cosmos DB. The name was chosen to spark the innovation and imagination of developers around the globe.

Introduction

Azure SQL Data Warehouse is a new addition to the Azure Data Platform. When I first heard about it I wasn’t quite sure about what exactly it would be. As it turns out it is relational database for large amounts of database and really big queries as a service. This is essentially the equivalent of the APS (Analytics Platform System) in the cloud.

Introduction

In the article How to create an Azure SQL Database using the Cloud Shell, we learned how to work with the Cloud Shell. In this new article, we will show how to automate Azure Active Directory tasks (AAD) using the Cloud Shell. We will work with loops, files and variables to automate tasks.