Azure DWH part 23: Data Mining
SQL Server on-premises includes a module to create Data Mining models. We will show how to create them using ASDW.
2018-01-09
508 reads
SQL Server on-premises includes a module to create Data Mining models. We will show how to create them using ASDW.
2018-01-09
508 reads
In this free ebook Kalen Delaney introduces and explains how the 2016 In-Memory OLTP engine works. The Hekaton internals knowledge offered in this book will help you migrate existing tables or databases to Hekaton, and get faster performance from your SQL Server applications than you ever thought possible.
2018-01-09
5,525 reads
This is a fix to primary data file that is created with a different file extension or accidentally renamed to a different file extension
2018-01-08
10,234 reads
Alan Burstein discusses a better performning alternative to PERCENT_RANK that works on SQL Server versions 2005+
2018-01-05 (first published: 2016-06-07)
13,104 reads
The General Data Protection Regulation (GDPR) will be in effect in May of 2018. Data masking is one technique that can help your organization comply with this and other regulations. William Brewer answers those questions about data masking that you were too shy to ask.
2018-01-05
3,734 reads
Python is a very popular language used for many purposes including machine learning. SQL Server 2017 supports Python with its Machine Learning Services component. Robert Sheldon explains how to get started using Python in SQL Server in the first article of this series.
2018-01-04
5,906 reads
Not having instant file initialization turned on slows down the process of adding pages to your database, because prior to allocating the data pages to your database, SQL Server needs to zero out the newly allocated pages.
2018-01-03
3,515 reads
Jeffrey Yao explains how to generate backups based on the amount of data that has changed for differential and transaction log backups.
2018-01-02
3,457 reads
Erik writes a script to do what it says on the tin.
2018-01-01
4,692 reads
Can you imagine it? You are in a group of smart database people, and they are debating the finer points about AWS DMS, and you don't even know what the letters stand for. You just feel too shy to ask those basic questions that seem ridiculous once you're up to speed. Laerte Junior answers all the questions you need answers for when facing the prospect of getting familiar with Amazon's useful Database Migration Service.
2017-12-29
5,408 reads
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
Comments posted to this topic are about the item Database Mail in SQL Server...
Comments posted to this topic are about the item Stairway to Reliable Database Deployment...
Comments posted to this topic are about the item QUOTENAME Quote Parameters
We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers