This article is part 4 of the series for SQL Server 2019 Enhanced PolyBase. Let quickly recap the previous articles.Read more »
In my previous article, I’ve discussed a lot about the Graph database implementation with SQL Server 2017. In this case, we’ll see a walk-through of Graph API integration with Azure Cosmos DB.
Before we jump into the concepts though, let’s take a high-level overview of NoSQL databases. A NoSQL database is designed in such a way that no extra efforts are needed for the database to be distributed because NoSQL Database designed that way.Read more »
In this article on PolyBase, we will explore more use case scenarios for external tables using T-SQL.Read more »
In the previous article of the series, we took an overview of PolyBase in SQL Server 2017. We also learned about the Azure Data Studio and SQL Server 2019 preview extension to explore SQL Server 2019 features.Read more »
There is a growing trend among professionals and entire companies to move away from email as a primary means of communication and are even adopting alternative technologies. One of the most popular of these is Slack. Slack is a new kind of messaging and communication platform between colleagues, team or community members that allows them to integrate a lot of services including Visual Studio Team Service, Jira and GitHub.Read more »
The real-life requirement
Disclaimer: I assume dear Reader, that you are more than familiar with the general concept of partitioning and star schema modeling. The intended audience is people who used to be called BI developers in the past (with a good amount of experience), but they have all sorts of different titles nowadays that I can’t keep up with… I won’t provide a full Visual Studio solution that you can download and just run without any changes or configuration, but I will give you code can be used after parameterizing according to your own environment.Read more »
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.Read more »
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 SyncRead more »
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!Read more »
If you noticed a tool we missed, please let us know in the comments below. Read more »
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.Read more »
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.Read more »
Having things in the cloud should make life simpler but I have experienced it’s not that straightforward. Once all access / configuration is sorted out then yes, of course! But in the meantime it can be tedious (even frustrating) and the end result is something that could have been achieved with a different method.
I think a significant chunk of what Azure offers is easier to do with the more conventional methods but that separates us from the advanced Azure features that a company would like to utilize in the shorter / longer term future. So there are reasons to spend some time / effort in getting things right up there.
In my case the task I needed to accomplish sounded simple enough:
- get a SQL Server database backup (.bak file) from Azure blob storage
- copy it to our own environment and restore it to a SQL Server instance on an Azure Windows VM
- or skip the copy step and restore straight from blob storage
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.Read more »
Good, clean and reliable data is important for every company, because well-analyzed data will open new possibilities to success. When we look at successful companies, we see that they’ve analyzed customers, sales, and finance data very well. At this point, a game changer enters: machine learning.
Machine learning is a type of artificial intelligence which analyzes data in order to predict future and discover hidden patterns. The output helps us make decisions. Machine learning is widely used in finance, healthcare and marketing.Read more »
BULK INSERT is a popular method to import data from a local file to SQL Server. This feature is supported by the moment in SQL Server on-premises.
However, there is a new feature that is supported only in SQL Server 2017 on-premises. This feature allows importing data from a file stored in an Azure storage account to SQL Server on-premises using BULK INSERT. This feature will be supported in Azure SQL versions in the future.
In this article, we will show two examples. The first example will show how to use the traditional BULK INSERT statement from a local CSV file to Azure and the second example will show how to import data from a CSV file stored in Azure to SQL Server on-premises.Read more »
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.Read more »
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.Read more »
In SQL Server Management Studio (SSMS), it is possible to connect to the Azure Storage. The Azure Storage Account is useful because it creates replicas automatically in the cloud. You only need to upload your file to the Azure Storage Account and the replication is automatic. You can have multiple replications in different regions and Datacenters with few clicks.Read more »
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.Read more »
The new SSMS 17.2 allows users to authenticate using Active Directory with Multi-Factor Authentication (MFA). This is a secure method for authentication where you have more than one method to validate your authentication. That way, you have a more secure authentication and prevent your Azure Portal or applications to be easily attacked by hackers or other malicious users.Read more »
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.Read more »
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.Read more »