Introduction Azure Data Factory is the cloud-based ETL and data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale. We can create and schedule data pipelines which can move data between various supported data stores. We can also use for data transformation before loading it into […]
2020-08-11
10,582 reads
Microsoft provides Azure DevOps for hosting your repos, setting up pipelines and more. In this article, Diogo Souza shows you how to get started using Azure DevOps.
2020-08-07
Brent shows us how to Install Azure Data Studio to Work with SQL Server.
2020-08-05
Learn about Azure Blueprints, available in the Azure portal, which is a new method of deploying Azure Resources through ARM templates.
2020-07-30
Get a basic introduction to Terraform by deploying and removing SQL Servers and a failover group to Azure.
2020-06-18
5,341 reads
Microsoft provides a number of different deployment options for its Azure SQL Database offerings. While most of them share the same characteristics, one in particular warrants special attention from the standpoint of its infrastructure dependencies. That exception is Azure SQL Database Managed Instance, which will be the topic of this article.
2020-06-16
Introduction Microsoft released SQL Server on Linux, starting from SQL Server 2017. SQL Server 2019 (15.x) has the same underlying database engine on all supported platforms, including Linux. Therefore, many existing features and capabilities operate the same way on Linux. Platform File System Red Hat Enterprise Linux 7.3, 7.4, 7.5, 7.6, or 8 Server XFS […]
2020-06-01
2,300 reads
Caching data is one way to improve application performance. In this article, Chandra Kudumla explains a service for caching data found in Azure called Azure Cache for Redis.
2020-03-16
Data analytics has become one of the powerful domains in the world of data science. An enormous amount of data is being generated by each organization in every sector. Computer science has found solutions to store and process this data in a smart way through a distributed file system. One such example is Azure Data Lake. It uses the Hadoop Distributed File System, and to perform analytics on this data, Azure Data Lake storage is integrated with Azure Data Analytics Service and HDInsight. In this article, Suhas Pande will explain how to store data using Azure Data Lake and how to perform data analysis on it using U-SQL, a big data SQL and C# language.
2019-04-29
Using Azure Feature Pack for Integration Services to access Blob storage from Azure into SSIS packages
2019-04-23 (first published: 2019-03-26)
2,375 reads
By Brian Kelley
In information security (INFOSEC), there several foundational concepts and principles. One of the ones...
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the standard blues– n. the dispiriting awareness that the twists and turns of your...
By Chris Yates
A brief introduction to the tool and its advantages for database migrations DevOps is...
Comments posted to this topic are about the item One more reason to use...
I'm tracing activity on one database and would like to include the client_app_name in...
select Custno, Addr1, City, Res_Phone, Bus_Phone, Fax_Phone, Marine_Phone, Pager_Phone, Other_Phone, email1, email2 from customer...
I want to mark a transaction in the log as a recovery point. How do I do this in my code if I use the transaction, myTran?
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