Stairway to SSAS Tabular Level 6: Creating Meaningful Measures
In this sixth level of the SSAS Tabular stairway, learn how to create meaningful measures.
2025-01-01 (first published: 2019-05-01)
6,054 reads
In this sixth level of the SSAS Tabular stairway, learn how to create meaningful measures.
2025-01-01 (first published: 2019-05-01)
6,054 reads
In this fifth level of the SSAS Tabular stairway, learn how to clean up dimensions.
2024-12-25 (first published: 2019-01-28)
7,505 reads
In this first level of the SSAS Tabular stairway, learn how to implement and format a date dimension.
2024-12-04 (first published: 2018-09-12)
11,547 reads
This article shows you how to create an Analysis Services Tabular Model project, import data from World Wide Importers database, create a measure and analyze in Excel.
2024-11-06 (first published: 2018-07-30)
7,449 reads
Time Intelligence is a common methodology in Dimensional Modeling that allows for calculations of measures based on relative dates. These include “To-Date” measures like Year to Date or Quarter to Date as well as Previous Period comparisons. Once these are created within a model, other DAX functions can be used for metrics like Year over […]
2022-10-24 (first published: 2019-07-10)
5,969 reads
In the ninth level of this stairway, learn how to add security to the tabular model.
2022-06-22 (first published: 2020-03-11)
8,937 reads
In this first level of the SSAS Tabular stairway, learn the benefits of implementing an SSAS solution.
2021-10-06 (first published: 2018-07-11)
20,250 reads
2020-10-28 (first published: 2020-10-14)
6,520 reads
In this level of the stairway, learn about multiple dates in fact table
2020-06-10
5,676 reads
In this eighth step of the SSAS Tabular Stairway start to expand the model beyond one fact table.
2019-10-09
16,201 reads
By Steve Jones
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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