Bridging Snowflake and Azure Data Stack: A Step-by-Step Guide
This article shows how to access Snowflake information from Synapse Analytics.
2024-06-03
1,648 reads
Articles
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.
2024-06-03
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.
2024-05-31
1,486 reads
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.
2024-05-31
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.
2024-05-29
2,134 reads
SQL ConstantCare® Population Report: Spring 2024
The short story: SQL Server 2019 appears poised to swallow the SQL Server market altogether, hahaha.
2024-05-29
What is new in Copilot, the new features available
Learn how Daniel Calbimonte is using the AI in Bing to have some fun, write some code, and get help.
2024-05-27
2,955 reads
SQL Server Temporary Stored Procedures
Learn about creating stored procedures in the SQL Server tempdb database and why you might want to create temporary stored procedures.
2024-05-27
Takeaways from Data Grillen 2024
Two days of Data, Beer and Bratwurst. What did it bring me, find out by reading this photo-rich article.
2024-05-24
452 reads
How to Build Metadata Driven Pipelines in Microsoft Fabric
Over the past years, “traditional” ETL development has morphed into data engineering, which has a more disciplined software engineering approach. One of the benefits of having a more code-based approach in data pipelines is that it has become easier to build metadata driven pipelines.
2024-05-24
Blogs
RANK() vs DENSE_RANK(): #SQLNewBlogger
By Steve Jones
I haven’t done one of these in awhile, but I saw an article recently...
Using CAT for Testing of Data Agents
In last months one of the scenarios where you can use AI has been...
Are you getting value from your reporting?
By ChrisJenkins
Do you spend so long manipulating your data into something vaguely useful that you...
Forums
Creating JSON II
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Engineer Lessons
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Question of the Day
Creating JSON II
On SQL Server 2025, what happens when I run this code:
SELECT JSON_OBJECTAGG( N'City':N'Denver' RETURNING JSON) GOSee possible answers