Azure DWH part 14: PolyBase to access to Non relational data
In this article, we will learn how to work with PolyBase using Azure SQL DWH.
2020-12-25 (first published: 2017-08-21)
3,172 reads
Daniel Calbimonte
- Skills: ssas, ssis, ssrs, Power BI, Azure
Azure DWH part 19: Backup and Restore SSAS
In the part 18, we created a Cube based on the Azure Data Warehouse. In this new chapter, we will work with the cube, create backups and show some tips to restore.
2020-05-29 (first published: 2017-10-23)
3,081 reads
Azure DWH part 18: Working with SQL Server Analysis Services
In this new article, we will learn how to create a cube extracting data from ADWH.
2020-05-22 (first published: 2017-10-09)
2,494 reads
Best Option for Working with Files in SSIS
This time we will compare different solutions to copy system folders using different SSIS tasks.
2019-11-22 (first published: 2017-05-09)
13,998 reads
Azure DWH part 20: Create External and Internal tables As Select
CTAS and CETAS are very important T-SQL features in ASDW. These features allow to create a table and fill with data based on a query.
2019-07-12 (first published: 2017-12-12)
4,339 reads
Azure DWH part 29: MicroStrategy Desktop with Azure
In this article, we will show how to connect MicroStrategy Desktop with ASDW.
2019-01-08
590 reads
Azure DWH part 28: The ASDW enemies
This time, we will talk about the competition or alternatives to Azure SQL Data Warehouse.
2018-06-26
549 reads
Azure DWH part 27: Creating your ASDW in Cloud Shell using Bash
In this article, we will show how to create an ASDW in Bash using the Cloud Shell.
2018-02-27
363 reads
Azure DWH part 26: Creating your ASDW in Cloud Shell using PowerShell
In this article, we will show how to create an ASDW in PowerShell using the Cloud Shell.
2018-02-15
382 reads
Azure DWH part 25: Auditing and threat detection
In this new article, we will show how to audit the Data Warehouse Activities.
2018-01-30
551 reads
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Question of the Day
The string_agg function
We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers