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Let Your Data Do the Talking with PowerPoint Plus Power BI

  • Article

What is this about This article will be about Power BI and PowerPoint collaborating. Both tools are well-known to anyone, particularly to those who are presenting data, charts and visualizations. Without a doubt, these are powerful tools for communicating and visually transmitting information. We can use them to hand over complex information in a simple, […]

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2023-07-12

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SQLServerCentral Editorial

The Data Professional Social Graph

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Two weeks ago, I had the opportunity to hear a keynote by Vik Fearing at Swiss PGDay 2023. He talked about Property Graphs and the Graph Query Language (not to be confused with GraphQL), a recent addition to the SQL:2023 standard. The discussion was mostly theoretical in nature because only Oracle has a current implementation […]

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2023-07-08

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SQLServerCentral Editorial

Keep Sharing

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I was given a little reward the other day. My son came home telling me that the manufacturing company he works for wants to build some custom test equipment using Arduino-style controller chips. I've been experimenting, pretty darned lightly so far, with these over the last year. He starts asking me about which controllers I […]

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2023-07-01

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SQLServerCentral Editorial

Software Flexibility (Avoiding the next hack)

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As computer scientists, it often feels like our job is to tell the business user, "No, we can't do that because the software you asked for, and we built, doesn't allow it ..." Then, after a long and relatively silly meeting where your soul dies a little, the business user typically gets 80% of what […]

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2023-06-10

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SQLServerCentral Editorial

Trust!

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The difference between a low trust society (few individuals within a trust circle outside your family and/or tribe) and a high trust society (general trust of individuals beyond immediate family/tribe associations) generally speaking can be measured as the difference between a low tech (low trust) and high tech (high trust) society. Yes, exceptions abound, but […]

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2023-06-03

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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