This document aims to explain the process of using ADF (Azure data Factory) to make a copy of a Cosmos DB (Instance A) collection into a new collection in another Cosmos DB Instance effectively and cost effectively. For example, here is our Instance A in the Data Explorer: Here is Instance B: We are looking […]
2024-03-25
590 reads
Azure CosmosDB provides ODBC driver that enables you to query CosmosDB collections like classic databases. In this post you will see how to query CosmosDB collections from Sql Server using Transact-Sql.
2023-12-15
Updating and deleting documents, creating queries, and managing query results in Microsoft's new NoSQL database-as-a-service.
2023-11-29
Coding for the new NoSQL JSON database service that supports SQL queries.
2023-11-22
There are advantages of cloud databases when your workload requirements grow. Steve thinks it's useful to learn a bit about the options out there.
2022-09-30
536 reads
CosmosDB is a flexible, powerful database, but is it the best one? Steve has a few thoughts.
2022-03-21
216 reads
In this article, we will explore the HTAP capabilities of Cosmos DB. The goal is to derive real-time insights from transactional changes made to Cosmos DB, in a cost-effective manner with minimal overhead. I want the solution to be scalable, reliable and overall simple to maintain.
2021-11-03
2,175 reads
Cosmos DB delivers a wide range of advantages over traditional SQL and NoSQL-based data stores, including support for multiple consistency levels, latency and throughput guarantees, policy-based geo-fencing, automatic scaling, and multi-master replication model. However, it is a significant departure from the traditional database management and development approach that most database administrators are familiar with. Discover the offerings that you can use at no cost to gain hands-on experience with Cosmos DB.
2019-05-21
This article was created to help readers understand CosmosDB change feed processing.
2018-11-13
1,710 reads
The majority of traditional database management systems are responsible for making sure that any changes to their data are consistently reflected in the results of subsequent queries. Azure Cosmos DB extends the range of consistency options by providing support for bounded-staleness, session, and consistent prefix models.
2018-02-09
2,650 reads
By Ed Elliott
All Spark Connect Posts I recently published the latest version of the Spark Connect Dotnet...
By Steve Jones
opia – n. the ambiguous intensity of eye contact The entry for this says...
By Steve Jones
This was actually a cool tip I saw internally from one of the product...
Hi All, I am currently testing the Table Partitioning to implement in SQL server...
Comments posted to this topic are about the item STRING_AGG's behavior
Comments posted to this topic are about the item The Role of Databases in...
CREATE TABLE t0
( id INT PRIMARY KEY
, field1 VARCHAR(1000)
, field2 VARCHAR(MAX));
INSERT INTO t0
SELECT
gs.value
, REPLICATE ('X', 1000)
, REPLICATE ('Y', 1000)
FROM generate_series(1, 10, 1) gs;
GOselect STRING_AGG(field1, ';') within group (order by id) from t0;
select STRING_AGG(field2, ';') within group (order by id) from t0;