This article explores how to use Snowflake’s task features to implement parent-child data workflows. We will walk through a real-world scenario in which a healthcare organization manages patient records using a sequence of tasks for data ingestion, transformation, enrichment, and reporting.
2025-06-18
Successful DevOps teams rely on data-driven decision-making to continuously improve software delivery and operational performance. Understanding the right DevOps performance metrics is crucial for identifying bottlenecks, improving efficiency, and maintaining high availability. Metrics provide insight into how well your team deploys software, how quickly issues are resolved, and how stable the production environment remains over time.
2025-06-16
Real-time data ingestion has become essential for modern analytics and operational intelligence. Organizations across industries need to process data streams from IoT sensors, financial transactions, and application events with minimal latency. Snowflake offers two robust approaches to meet these real-time data needs: Snowpipe for near-real-time file-based streaming and Direct Streaming via Snowpark API for true real-time data integration.
2025-06-13
Validate all of your settings and be prepared to make some changes during your migration process. Most of the incompatible options make sense when you think about the purpose of SQL MI – it is controlled by Microsoft. Hardware settings, local file access, high-availability settings, and auditing are configured differently or completely disabled.
2025-06-11
The new JSON field type and new functions in Azure SQL brings a new world of possibilities for JSON manipulation in SQL Databases. These features are slated to be a part of SQL Server 2025 as well. Let’s analyze some practical uses of these features
2025-06-09
There are several things that you can do to improve performance by throwing more hardware at the problem, but usually the place you get the most benefit from is when you tune your queries. One common problem that exists is the lack of indexes or incorrect indexes and therefore SQL Server has to process more data to find the records that meet the queries criteria. These issues are known as Index Scans and Table Scans.
2025-06-06
Purging data from a table is a common database maintenance task to prevent it from growing too large or to stay in compliance with data retention. When dealing with small amounts of data, this can be accomplished by a simple delete with no issues; however, with larger tables, this task can be problematic. Deleting records requires a lock that can block other processes from writing or even reading the data (depending on your isolation level). In this article I will share a technique I have used to work with some very large tables.
2025-06-04
What DMVs were added to Azure SQL Databases, and which DMVs are missing from Azure SQL Databases but still exist on SQL Server 2019 or other versions?
2025-06-02
What advice would you give to someone new to Power BI? What are common Power BI mistakes to avoid? In this article, we will discuss several Power BI mistakes to avoid to help you navigate this powerful tool effectively.
2025-05-30
With the popular data transformation tool dbt (data build tool), we have a bunch of interesting features at our disposal to write SQL more efficiently. One of those features is macros, which we’ll introduce in this article
2025-05-28
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
Quite the title, so let me set the stage first. You have an Azure...
hi everyone I am not sure how to write the query that will produce...
Comments posted to this topic are about the item Rollback vs. Roll Forward
Comments posted to this topic are about the item Foreign Keys - Foes or...
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers