Databricks Delta Change Data Feed
In this article we cover how to implement a batch Databricks Change Data Feed process through an end-to-end exercise.
2021-10-08
In this article we cover how to implement a batch Databricks Change Data Feed process through an end-to-end exercise.
2021-10-08
This article demonstrates how to get started with using Auto Loader cloudFiles with Databricks through an end-to-end practical example of ingesting a data stream which has an evolving schema.
2021-10-01
This article looks at database migration with the Azure Data Studio extension, making it easy to move databases from an on premises SQL Server to one in Azure.
2021-09-20
7,520 reads
Microsoft provides many ways to run SQL Server in Azure, but which do you choose? In this article, Robert Sheldon explains the Azure SQL options.
2021-09-20
In this article we will walk through a clear end-to-end process of securely mounting an ADLS gen2 account in Databricks.
2021-09-17
2021-09-08
823 reads
Learn how to schedule processes in Azure SQL Database using an Azure Function in this easy to follow step by step tutorial.
2021-08-30
In this tip find out how to use Azure Data factory to build an incremental pipeline from Azure SQL Database to Databricks.
2021-08-25
Azure storage can be marked Private to control access. Dennes Torres explains how to query private blob storage with SQL and Azure Synapse.
2021-08-13
How do you include blob storage in reports? In this article Dennes Torres explains how to query blob storage with SQL using Azure Synapse.
2021-07-28
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
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Comments posted to this topic are about the item The New Software Team
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