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
1,404 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
2,395 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
9,765 reads
Learn how you can create a SQL Server instance in the Google Cloud Platform.
2019-09-26
3,918 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 Steve Jones
on tenderhooks – adj. feeling the primal satisfaction of being needed by someone, which...
By DataOnWheels
I have been active in the data community throughout my career. I have met...
By Vinay Thakur
Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...
hi, in an ssis for each loop over an object variable called MyListVariable, i...
SQL Server is typically viewed as a transactional or analytical database engine. However, it...
Hello, Is there a way in Azure SQL Database to change the 'Blocking Process...
On SQL Server 2025, when I run this, what is returned?
SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL') See possible answers