Technical Article

Azure Data Lakes

The Data-lake is basically a large repository of data for 'big data' analytic workloads, held in its original format. The Azure Data Lake adds Data Lake Analytics, and Azure HDInsight. Although the tools are there for Big Data Analysis, it will require new skills to use, and a heightened attention to Data Governance if it is to appeal to the average enterprise. Rob Sheldon takes a look.

External Article

Jodie Beay and the Production Database Drift

You make an example database, like NorthWind or WidgetDev in order to test out your deployment system and the next thing you know you're worrying about constraints, backup and security. Then you add an index to the production system and feel a pang of guilt. What would the Devs say? Somehow databases take on lives of their own, populated by the lost souls of users, Developers and DBAs. Has the Redgate DLM Team's practice Forex database somehow come alive?

Blogs

Stop Using Pandas for Aggregations — Try DuckDB Instead

By

If you've ever loaded a 2 GB CSV into pandas just to run a...

Understanding Fabric Ontology

By

What problem is Fabric Ontology trying to solve? For years, most data conversations have...

QUOTENAME Basics: #SQLNewBlogger

By

Recently I ran across some code that used a lot of QUOTENAME() calls. A...

Read the latest Blogs

Forums

Alamat kontak resmi BCA KCP Pedurungan | Tlp/Wa:0817866887

By Layanan_BCA

Tlp/Wa_Cs:0817-866-887  Jl. Brigjen Sudiarto No.294, Palebon, Kec. Pedurungan, Kota Semarang, Jawa Tengah 50273

Alamat kontak resmi BCA KCP Majapahit Telp:0817866887

By Layanan BCA_24jam

Tlp/Wa_Cs:0817-866-887  Jl. Majapahit No.112, Pandean Lamper, Kec. Gayamsari, Kota Semarang, Jawa Tengah 50161

Alamat kontak resmi BCA KCU BANYUWANGI Telp:0817866887

By Layanan BCA 24 JAM

Tlp/Wa_Cs:0817-866-887  Jl. Jenderal Ahmad Yani No.24-26, Panderejo, Kec. Banyuwangi, Kabupaten Banyuwangi, Jawa Timur 68416

Visit the forum

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