Sometimes you may not want to flip over to the Azure portal to grab the database size, such as the used space below.
Microsoft and Oracle recently announced a joint cloud partnership (I have seen the word multi/cross-cloud to explain this) which I found very fascinating to read. It is currently in preview and the idea is to have an integrated cloud experience between Oracle Cloud and Microsoft Azure. A private dedicated connection is obviously needed and whilst knowing more about Azure, looking at the below diagram it makes sense (from an architecture POV) as the Oracle equivalent of ExpressRoute is FastConnect which is needed.
You can read about columnstore indexes here (https://azure.microsoft.com/en-gb/blog/transforming-your-data-in-azure-sql-database-to-columnstore-format/). I won’t rehash the material but high level, these index types are optimized for analytical queries and high compression of data (up to 100x). This format is perfect for the large data sets that can be efficiently compressed using this format and analytical queries with complex calculations that use subset of the table columns.
There is a lightweight and quick way to start querying your database in Azure which doesn’t involve SQL Operations Studio or Management Studio. You can use the query editor within the Azure portal, that is, if you desire.
I am sure many missed the updates to Azure SQL Database SLA (Service Level Agreement). It used to be 99.99% across all tiers but split between two different high-availability architectural models. Basic, Standard and General Purpose tiers had its own model and the Premium / Business Critical tiers had a different one.
The purpose of an Elastic Job is to execute a T-SQL script that is scheduled or executed ad-hoc against a group of Azure SQL databases. Targets can be in different SQL Database servers, subscriptions, and/or regions. This blog post is quite long and heavy (code wise) so grab a coffee and follow through.
The architecture you could follow is shown below.
Quite simply the objective as follows: Move data from Azure SQL Database to Azure SQL DW via Azure Data Factory v2 (ADF).
Quite a significant change has taken place within the Azure SQL Database space, more specifically the development of Azure SQL Database Serverless. Currently in preview mode this “compute” tier changes how you are billed (/second) and addresses some behaviors that many have wanted in the past. There are things to be aware of though.
Before writing about pausing (and resuming) Azure SQL Data Warehouse (DW) it makes sense to discuss the architecture of this product. At a high level it involves a control node, a MPP (Massively Parallel Processing) engine compromising of compute nodes and storage. Perfectly summarised by this image.
A quick 2 minute upload (with sound, my voice) showing you how easy it is to create an Azure SQL Database using the Azure portal and then using SSMS (SQL Server Management Studio) to connect to it.