A BI project should return value to the company quickly, not only after months or even years of work. In this article by Gogula Aryalingam, Ruthie, the intern, determines which items from her manager's requirements she can complete before the big meeting. She continues working on her semantic model by including a Date table, the star schema, measures, formatting, and more.
2019-05-06
In this tip we look at how to change the SQL Server setting for a tables identity column to not for replication for existing tables.
2019-05-03
While architecting cloud native applications, you need to ensure that your system is highly available, performant, scalable, fault tolerant, and has the capability to recover from a disaster scenario. In this article, Samir Behara discusses the options available when designing the database architecture to achieve scalability.
2019-05-03
SQL Server contains many built-in views and functions that can be used to understand what is going on “under the hood,” and security is no exception. In this article, Robert Sheldon explains the security related catalogue views, dynamic management views, and system functions
2019-05-02
You’ve got one SQL Server hosting a bunch of databases, and performance is bad. Which database should you focus on first?
2019-05-02
In this tip we look at how to create a SQL Server trigger on a SQL Server view.
2019-05-01
Learn how to create default database compression for your SQL Server databases.
2019-04-30
Itzik Ben-Gan asks you to invest in SQL Server's future by voting for Row Pattern Recognition, a potential T-SQL syntax extension he deems the next step in the evolution of window functions.
2019-04-30
In this tip we look at how we can use PowerShell to validate input values into SQL Server stored procedures prior to execution of the stored procedure
2019-04-29
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
By Steve Jones
gnossienne– n. the awareness that someone you’ve known for years still has a private...
How I used AI for this postChatGPT to generate images based on info specifically...
By Brian Kelley
A few months ago I started using Deepstash. Deepstash breaks books into the key...
Comments posted to this topic are about the item When the Token Meter is...
Comments posted to this topic are about the item Understanding Temp Tables and Table...
Comments posted to this topic are about the item The Data API Builder MCP...
The Data API Builder MCP Server, v2.x, includes a number of tools. What actions can these tools perform in your database?
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