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
1,392 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
2,367 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
9,758 reads
Learn how you can create a SQL Server instance in the Google Cloud Platform.
2019-09-26
3,916 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 James Serra
Organizations increasingly want Snowflake and Microsoft Fabric to coexist without duplicating data or fragmenting...
By Steve Jones
In a previous post, I deployed a model to a database using SQL Compare...
By SQLPals
Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022 ...
Comments posted to this topic are about the item Automating Database Cleanup for PostgreSQL...
Comments posted to this topic are about the item The Query Optimizer and Page...
Comments posted to this topic are about the item There Are a Lot of...
If I have a fillfactor set to 70%, this reduces my page density to roughly 70%. Does this affect the query plans that the optimizer chooses?
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