WITspiration - Year 2
A new cohort of WITspiration is strating, the women in technology mentoring circle.
Bridging Snowflake and Azure Data Stack: A Step-by-Step Guide
This article shows how to access Snowflake information from Synapse Analytics.
DBCC CLONEDATABASE is Semi-Discontinued
Microsoft is no longer supporting some uses for DBCC CLONEDATABASE. Read a few of Steve's thoughts on the change.
Who’s Changing the Table? Answers and Discussion
Your challenge for this week was to find out who keeps mangling the contents of the AboutMe column in the Stack Overflow database.
On Being an "Expert"
I had the opportunity last week to present a session at DataSaturdays Stockholm. I can't say enough nice things about the event and the organizers. I presented on Query Store in SQL Server. In my mind, it's an entry-level to middle tier presentation. Most of the room was already working with Query Store, some quite […]
PostgreSQL UNION, INTERCEPT & EXCEPT Operator
Another article on how the SQL language works in PostgreSQL. This time we examine the UNION, INTERSECT, and EXCEPT operators.
SQL Bulk Insert Command Examples
Learn about the SQL Server BULK INSERT command and how to use it to import text data in a SQL Server database table.
Common Algorithm Concerns
Steve doesn't have a lot of concerns about AI models writing code and reusing algorithms, but others might not feel the same way.
Enhancing Web Application Performance through Database Optimization: A Comprehensive Study
In the contemporary digital landscape, web applications play a pivotal role in delivering services and facilitating interactions between users and businesses. However, the performance of these applications heavily relies on the efficiency of underlying databases. This comprehensive study aims to explore the intricate relationship between database optimization techniques and web application performance enhancement. The study begins by delineating the significance of web application performance and its correlation with database operations. It examines various factors affecting performance, including data retrieval, storage, and processing. Furthermore, it identifies common challenges such as latency, scalability issues, and inefficient query execution. Through an extensive review of the literature, this study evaluates state-of-the-art database optimization methodologies and their applicability to web applications. Techniques such as indexing, query optimization, denormalization, caching mechanisms, and data partitioning are scrutinized, highlighting their potential to mitigate performance bottlenecks. Moreover, the study investigates emerging trends and technologies in database management systems (DBMS), such as NoSQL databases, in-memory databases, and cloud-based solutions. It assesses their suitability for enhancing web application performance, considering factors like data volume, query complexity, and real-time processing requirements.
Blogs
Query deadlock info in Azure SQL DB
A couple of weeks ago, a developer came to me and wanted to know...
MSSQL Database Property LastGoodCheckDbTime to Get the Last Successful DBCC CHECKDB on a Database
By SQLPals
Database Property LastGoodCheckDbTime to Get the Last Successful DBCC CHECKDB on a Database As one...
Dynamic Warehouse & Lakehouse Connections in Microsoft Fabric Data Pipelines
When you develop data pipelines in Microsoft Fabric (the Azure Data Factory equivalent in...
Forums
Baseball Everywhere
Comments posted to this topic are about the item Baseball Everywhere
How to run custom python module on SQL Server?
I am working on a small test script on SQL server 2022 using python...
Upgrade to SQL2019 from 2012 Query is taking time, Need Query Optimization steps
Upgrade to SQL2019 from 2012 Query is taking time, Need Query Optimization steps and...
Question of the Day
Sensitivity Ranks
I want to use the ADD SENSITIVITY CLASSIFICATION DDL to mark some columns in my SQL Server 2022 database as PII. Can I use this code?
ADD SENSITIVITY CLASSIFICATION TO dbo.sales.price,
dbo.sales.discount
WITH (
LABEL = 'Highly Confidential',
INFORMATION_TYPE = 'Financial',
RANK = 'INTERNAL ONLY'
); See possible answers