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
1,526 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
2,657 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
9,840 reads
Learn how you can create a SQL Server instance in the Google Cloud Platform.
2019-09-26
3,962 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
I’ve covered the values in a number of previous posts on the Book of...
By Arun Sirpal
When the evidence names the database, it says so. When it doesn’t, it stops....
By James Serra
Making Data AI-Ready, Part 3 (This is the final article in a three-part series...
Comments posted to this topic are about the item Four Rules for Adding AI...
Hello, the title says it all. Is the SQL Server 2025 section missing?
I am not sure which is the best way to proceed. I have parent...
In an Azure SQL Database Hyperscale Edition, how many named replicas can be configured?
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