How to Get a Random Row from a Large Table
Brent Ozar takes a look at four different ways to get a random row from a large SQL Server table.
2018-03-22
5,124 reads
Articles
Charles Bachman and Pointer Chains
Joe Celko reminisces about the origins of databases and one of the early pioneers, Charles Bachman. He explains how pointer chains were used to traverse data in the NDL standard and referential integrity that we use today.
2018-03-21
2,756 reads
Balancing Performance and Readability
Developers need to consider not only system performance when writing code, but also how readability impacts code maintenance.
2018-03-20
1,304 reads
Different Ways to Import JSON Files into SQL Server
Nat Sundar explains the different ways to load JSON data into SQL Server, along the way also covering the use OpenRowset and OpenJSON functions to manage JSON data effectively.
2018-03-20
4,130 reads
Set-Based String Splitting table function
Describe and provide a set-based method that takes a multiple character split term and returns as a table
2018-03-19
3,173 reads
What is the State of My Transparent Data Encrypted Database?
When using Transparent Data Encryption, you might wonder “What is the state of my transparent data encrypted database?” Read on to learn the many different states that a transparent data encrypted database might go through.
2018-03-19
2,510 reads
TEMPDB Enhancements in SQL Server 2016
TEMPDB Enhancements in SQL Server 2016 - By default enforced to follow best practices.
2018-03-16 (first published: 2016-04-13)
8,755 reads
Data Encryption Using Always Encrypted in SQL Server
The key challenge for application developers is to build a foolproof system to ensure data security. This is not only more intense, but more complex these days, as many organizations are planning to move their applications to the cloud. Read on to learn more.
2018-03-16
3,579 reads
SharePoint Disaster Recovery Plan
Hot standby disaster recovery process where SharePoint farm will become available in minutes
2018-03-15
4,249 reads
SQL Server Machine Learning Services – Part 6: Merging Data Frames in Python
In the final article in this series, Robert Sheldon demonstrates combining data sources with multiple formats into one Python data frame.
2018-03-15
3,337 reads
Blogs
A New Word: Anderance
By Steve Jones
anderance – n. the awareness that your partner perceives the relationship from a totally...
Troubleshooting SQL Server – Starting with the Error Log
By gbargsley
We’ve all been there. Someone walks up and asks, “Is SQL Server having issues?”...
From OLTP to Analytics: Bridging the Gap with Modern SQL Architectures
By Chris Yates
In the beginning, there was OLTP – Online Transaction Processing. Fast, reliable, and ruthlessly...
Forums
Work out closing balance using opening balance of prior month
Hello, I think I need a recursive cte query but unsure of the logic....
The Security of Old Tech
Comments posted to this topic are about the item The Security of Old Tech
Question of the Day
Tables with a SPARSE Column and Consumption
True or False: Tables with a SPARSE column consume more space than regular columns if most values are NOT NULL.
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