Efficient Solutions to Gaps and Islands Challenges
Window functions are useful for solving many SQL queries. In this article, Ed Pollack demonstrates how they can be used to analyse baseball winning streaks.
Updates to the Deployment Suite for Oracle
Redgate has added new capabilities to the Deployment Suite for Oracle, so it now supports automated migrations-based and state-based Oracle deployments on both Linux and Windows. They've introduced Redgate Change Control, a new capability for understanding development changes, generating migration scripts for version control, and getting precise control over the migration path during automated deployments. Our Schema Compare and Data Compare for Oracle command line tools have been extended to Linux as well as Windows, and we’ve added static code analysis that encourages teams to follow good coding practices on Windows or Linux.
Staying Safe when Traveling
Today, Grant talks about keeping your laptop and phone safe while traveling.
Custom Deployments from Source Control using SQL Compare Command line
Giorgi Abashidze explains how his team use a 2-phase deployment process with SQL Compare Command line, and some SQL Synonyms, to automate custom deployments for each of their customers, while only needing to maintain one branch per release in source control.
Load Time Series Data with SQL Server
In this article we look at how to load time series data into SQL Server both for an initial load as well as adding new data.
Calculate Moving Averages using T-SQL in SQL Server
Introduction In Financial Data, analyzing the Moving Average (MA) is a very common practice. The direction of the moving average conveys important information about prices, whether that average is simple or exponential. A rising moving average shows that prices are generally increasing. A falling moving average indicates that prices, on average, are falling. This article […]
How to Get Started with Version Control for Databases
Today, Kendra talks about why version control for databases is important and how to get started.
Building SQL Server Indexes in Ascending vs Descending Order
In this tip we look at the impact of building SQL Server indexes in ascending versus descending order and the impact.
Static data in SQL Change Automation SSMS plugin
Kendra Little sat down with the SQL Change Automation Dev Team to get some insight into how they build the product with the customers in mind. SQL Change Automation 4.1 included adding support for the tracking of static data tables to the SSMS extension. This was a direct result of the communication and work the team have carried out with their customer base. Read Kendra’s blog to find out more about the release and the work that goes into delivering these updates.
Analysis Services : OLEDB Error while processing in SSAS
Problem This is one of the errors that I frequently encounter while deploying or processing SSAS OLAP cubes on the client's computers or on a remote server. Recently, one of my team members also faced the same issue and so I thought to write a resolution for the issue. The error is something like this: […]
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
Which Wireless Credit Card Terminal Works Best for Small Businesses?
I’m currently researching the best wireless credit card terminal for a growing business and...
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...
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