Azure SQL DW Reference Architectures

James Serra shows how Azure SQL Data Warehouse can fit into various warehousing architectures:

Do staging, data refinement and reporting all from SQL DW.  You can scale compute power up when needed (i.e. during staging, data refinement, or large number of users doing reporting) or down to save costs (i.e. nights and weekends when user reporting is low).  The pros of this option are by reducing the number of technologies you are building a simpler solution and reducing the number of copies of the data.  The cons are since everything is done on SQL DW you can have performance issues (i.e. doing data refinement while users are reporting), can hit the SQL DW concurrent query limit, and can have a higher cost since SQL DW is the highest-cost product, especially if you are not able to pause it.  Pausing it reduces your cost to zero for compute, only having to pay for storage (see Azure SQL Data Warehouse pricing), but no one can use SQL DW when paused

Click through for three other architecture ideas.

Related Posts

Using Azure Blob Storage Archive Tier For Archival Data

Bob Pusateri shows us how to configure Azure Blob Storage Archive Tier: Two of the products I use extensively for this purpose are Amazon Glacier and, more recently, Microsoft Azure Blob Storage Archive Tier. As happy as I’ve been with Amazon Glacier since its introduction in 2012, I always hoped Microsoft would offer a similar service. My wish […]

Read More

Using Azure Logic Apps For Database Tasks

Arun Sirpal shows off a technique he has developed to run maintenance jobs against Azure SQL Database databases: I have been using Azure Logic apps recently to build some workflows to gather data from external sources ultimately inserting it into a database for reporting, I then got thinking, how can this be useful for “DBA” […]

Read More

Categories