ETL Antipattern: Ignore the Logging
In my last ETL Antipatterns post, I wrote about the unexciting but very necessary work of documenting ETL processes. The logging of ETL operations is just as (un)captivating as...
2020-12-21
6 reads
In my last ETL Antipatterns post, I wrote about the unexciting but very necessary work of documenting ETL processes. The logging of ETL operations is just as (un)captivating as...
2020-12-21
6 reads
Documentation is an asset that is both loathed and loved. Creating technical and business documentation is often looked upon as a tedious chore, something that really ought to be...
2020-12-20
15 reads
Documentation is an asset that is both loathed and loved. Creating technical and business documentation is often looked upon as a tedious chore, something that really ought to be...
2020-12-20
10 reads
One of the most significant design considerations in ETL process development is the volume of data to be processed. Most ETL processes have time constraints that require them to...
2020-12-19
261 reads
One of the most significant design considerations in ETL process development is the volume of data to be processed. Most ETL processes have time constraints that require them to...
2020-12-19
6 reads
“If it compiles, it works.” – An unemployed developer Building ETL processes is quite easy. Building ETL processes that deliver accurate results as quickly as possible is substantially more...
2020-12-18
15 reads
“If it compiles, it works.” – An unemployed developer Building ETL processes is quite easy. Building ETL processes that deliver accurate results as quickly as possible is substantially more...
2020-12-18
7 reads
In most data projects, building the extract-transform-load (ETL) logic takes a significant amount of time. Enterprise ETL processes must do several things well: retrieve enough data to satisfy the...
2020-12-17
21 reads
In most data projects, building the extract-transform-load (ETL) logic takes a significant amount of time. Enterprise ETL processes must do several things well: retrieve enough data to satisfy the...
2020-12-17
11 reads
I usually avoid talking about technology in absolutes, but here’s one that I can share without reservation: On a long enough timeline, every single ETL process will eventually fail....
2020-12-16
15 reads
I’ve been thinking a lot lately about what it actually takes to make an...
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
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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