Time-Series Data Analysis with Apache Druid
Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.
2023-11-10
14,587 reads
Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.
2023-11-10
14,587 reads
SQL Server 2008 introduced a new feature, Management Data Warehouse (MDW), which allows users to collect metrics on their servers over time to aid in performance troubleshooting. A lot of people try this feature out, because it is easy to set up, and then find that it is not so easy to remove. In fact, removing MDW is not supported; in SQL Server 2012, though, a new system stored procedure was added to make this process easier. The problem is that this stored procedure (as well as several of the workarounds I've seen published) can leave several objects behind.
2012-08-09
2,418 reads
This article presents a case study of using the Management Data Warehouse feature in SQL Server 2008 to analyze disk usage trends by product.
2010-11-29
3,911 reads
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
A while back I wrote a quick post on setting up key mappings in...
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Comments posted to this topic are about the item Creating JSON III
Comments posted to this topic are about the item Testing is Becoming More Important
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers