Data Warehouse Considerations - SCD Type 2 vs Overwrite Dimension Tables
How we handle data warehousing updates to dimension tables is crucial and this article covers Slowly Changing Dimensions versus overwriting tables.
2024-12-20
Data Warehouse
The Load of Real Time Data Warehouses
How much load do real time updates place on a data warehouse? Steve has a few thoughts on the analysis of the Amazon Redshift dataset, Redset.
2024-10-07
230 reads
Dimensional Modelling Case Study Part 1 - Age Group
Learn how you can handle dimensional modeling in a data warehouse when your data uses different categorization for ages.
2024-01-12
2,952 reads
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
14,603 reads
Upserts in Amazon Redshift
This article discusses different approaches of Upserts (update+inserts) in Amazon Redshift
2023-08-09
30,356 reads
A Overview of Amazon Redshift
This article gives an overview of Amazon Redshift, the cloud data warehouse in AWS.
2023-07-24
25,608 reads
How do you secure sensitive data in a modern Data Warehouse?
In 2019 Canadian Broadcasting Corporation (CBC) news reported a massive data breach at the Desjardins Group, which is a Canadian financial service cooperative and the largest federation of credit unions in North America. The report indicated, a "malicious" employee copied sensitive personal information collected by Desjardins from their data warehouse. The data breach compromised the […]
2022-03-30
3,147 reads
Infrastructure Planning for a SQL Server Data Warehouse
In this tip we look at some things you should think about when planning for a SQL Server data warehouse.
2019-02-12
2,879 reads
Modern Data Warehouse Design Pattern – Part I
The modern data warehouse design helps in building a hub for all types of data to initiate integrated and transformative solutions. To achieve these goals and to support modern designs, Microsoft has introduced a set of fully managed, cloud-based services that not only support modern data warehouse design patterns but also provide the advantages of inbuilt scalability, high availability, good performance, and flexibility.
2018-09-04
3,797 reads
Using the DbFit Framework for Data Warehouse Regression Testing
It is ironic that the users of database application need to rely on the very technologists that created the system to then devise and run their acceptance tests. Surely someone has devised a test system for databases that is simple enough for ordinary tech-savvy people to use and for them to create the tests? Yes they have. Fitnesse DbFit is a mature product that can, and does, test SQL Server databases, and Nat Sundar explains how to set it up and do it.
2017-05-18
3,142 reads
Blogs
T-SQL Tuesday #198–Change Detection
By Steve Jones
This month we have a new host, Meagan Longoria, who graciously agreed to help...
Redgate and Rome
By Steve Jones
I’m at the UK Redgate office today, meeting with senior leaders in all areas...
Quick Tip: Check Most DTU Expensive Queries in Azure SQL Database
Optimizing Azure SQL Database performance often begins with identifying the most resource-intensive queries. Understanding...
Forums
Creating a JSON Document IV
Comments posted to this topic are about the item Creating a JSON Document IV
Restoring Azure Key Vault Keys and Validating SQL Server TDE Recovery: Level 7 of the Stairway to TDE
By VishnuGupthanSQLPowershellDBA
Comments posted to this topic are about the item Restoring Azure Key Vault Keys...
Permissions Removal When Changing Object Schema
When the schema of an object is changed, SQL Server wipes out the previous...
Question of the Day
Creating a JSON Document IV
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers