Security is a concern whether it be on-premises or cloud-native. Google Cloud offers many products and services including SQL Server. What are some of the security controls that should be considered when using Google Cloud services?
2023-07-28
By developing a strong business case, building key relationships, using budgeting and forecasting tools, and providing training and support, tech leaders can effectively sell the benefits of the cloud and influence change.
2023-07-10
This article looks at four security best practices for protecting databases in AWS along with how GuardDuty can be used to provide additional security.
2023-05-17
1,418 reads
Many businesses are hesitant to adopt cloud technology due to security, cost, and complexity concerns. This can make it challenging for organizations to sell the benefits, leading to missed opportunities. Learn about different techniques to help sell cloud technology in your organization.
2023-05-12
Learn about high availability in the cloud at a conceptual level.
2022-03-28
2,479 reads
Introduction I recently passed the Google Cloud Professional Data Engineer certification exam, Professional Data Engineer Certification. It took me about five month to prepare for this, and I would like to share my thoughts of why I decided to take it on and how I prepared for it. At the moment, Google cloud (GCP) is […]
2021-03-15
9,779 reads
Learn how you can create a SQL Server instance in the Google Cloud Platform.
2019-09-26
3,923 reads
Your databases are hosted in the cloud – either in VMs or in a database-as-a-service – and you’re having a performance emergency that’s lasted for more than a day. Queries are slow, customers are getting frustrated, and you’re just not able to get a fix in quickly. Just ask management if they want to throw hardware at it.
2019-05-10
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
Identities, the 'accounts' by which Cloud and Web users identify themselves, are tricky to manage, and tiresome for the users. Cloud services such as Office 365 have their main use in large organisations and so there have to be easy ways for system administrators to maintain them. Microsoft provide three alternative strategies; Cloud identities, Synced identities and federated identities. What is the differences between them, and which should you choose?
2014-12-11
8,211 reads
By Vinay Thakur
In previous posts, we looked at the SQL Server engine. for us DBAs, the...
By Arun Sirpal
You have used Claude. But which Claude? The Claude app (claude.ai, the desktop and...
By Steve Jones
This month we have a new host, Meagan Longoria, who graciously agreed to help...
Comments posted to this topic are about the item Creating a JSON Document IV
By VishnuGupthanSQLPowershellDBA
Comments posted to this topic are about the item Restoring Azure Key Vault Keys...
When the schema of an object is changed, SQL Server wipes out the previous...
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers