Additional Articles


External Article

What are the Key DevOps Performance Metrics You Should Track?

Successful DevOps teams rely on data-driven decision-making to continuously improve software delivery and operational performance. Understanding the right DevOps performance metrics is crucial for identifying bottlenecks, improving efficiency, and maintaining high availability. Metrics provide insight into how well your team deploys software, how quickly issues are resolved, and how stable the production environment remains over time.

2025-06-16

External Article

Real-time Data Streaming in Snowflake

Real-time data ingestion has become essential for modern analytics and operational intelligence. Organizations across industries need to process data streams from IoT sensors, financial transactions, and application events with minimal latency. Snowflake offers two robust approaches to meet these real-time data needs: Snowpipe for near-real-time file-based streaming and Direct Streaming via Snowpark API for true real-time data integration.

2025-06-13

External Article

Index Scans and Table Scans

There are several things that you can do to improve performance by throwing more hardware at the problem, but usually the place you get the most benefit from is when you tune your queries. One common problem that exists is the lack of indexes or incorrect indexes and therefore SQL Server has to process more data to find the records that meet the queries criteria. These issues are known as Index Scans and Table Scans.

2025-06-06

External Article

Purging Data from a Large Table in SQL Server

Purging data from a table is a common database maintenance task to prevent it from growing too large or to stay in compliance with data retention. When dealing with small amounts of data, this can be accomplished by a simple delete with no issues; however, with larger tables, this task can be problematic. Deleting records requires a lock that can block other processes from writing or even reading the data (depending on your isolation level). In this article I will share a technique I have used to work with some very large tables.

2025-06-04

Blogs

AI: Blog a Day – Day 8: RAG – Retrieval Augmented Generation

By

RAG — Retrieval Augmented Generation. we have covered so far — embeddings, vectors, vector...

AI: Blog a Day – Day 7: Vector and Vector Databases

By

Continuing from Day 6 we learned Embeddings, Semantic Search and Checks, on Day 7...

AI: Blog a Day – Day 6: Embeddings – How AI Understands

By

Continuing from Day 5 where we covered notebooks, HuggingFace and fine tuning AI now...

Read the latest Blogs

Forums

Not Just an Upgrade

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Not Just an Upgrade

Restoring On Top I

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Restoring On Top I

Designing Delta Tables with Liquid Clustering: Real-World Patterns for Data Engineers

By mehul.bhuva@gmail.com

Comments posted to this topic are about the item Designing Delta Tables with Liquid...

Visit the forum

Question of the Day

Restoring On Top I

I am doing development work on a database and want to keep a backup so I can reset my database. I make some changes and want to restore over top of my changes. When I run this code, what happens?

USE Master
BACKUP DATABASE DNRTest TO DISK = 'dnrtest.bak'
GO

USE DNRTest
GO
CREATE TABLE MyTest(myid INT)
GO
USE master
RESTORE DATABASE DNRTest FROM DISK = 'dnrtest.bak' WITH REPLACE

See possible answers