2019-11-26
375 reads
Data Science
Data Science, BI, and Reports
Business Intelligence and Data Science are linked, and complementary. As Steve notes, both can help your organization make better decisions based on data.
2019-11-14
402 reads
Hosting a Machine Learning Model in ASP.NET Core 3.0
Microsoft introduced the ML.NET framework which can be used by developers to include machine learning models in their applications. In this article, Dino Esposito discusses hosting a machine learning model in ASP.NET Core 3.0.
2019-11-13
Building Machine Learning Models to Solve Practical Problems
Machine learning is a skill that many data professionals are learning as they plan their careers over the next five to ten years. In this article, Supriya Pande gives an overview of machine learning and walks through a practical example.
2019-10-14
2019-05-31
Pondering statistical significance in a world without .05
The latest edition of The American Statistician is...
2019-05-24
All Data is Dirty: Subjective Data, Likert Scales, and More
One of the things I like to point out in my Launching a Data Science Project talk is that all data is, by its nature, dirty. I figured I...
2019-05-16
How to show characteristics of study population in R with a single line of code
Interested in guest posting? We would love to share your codes and ideas with our community.
Category
Data Management
Tags
Data Management
Tips & Tricks
Another advantage of R, in addition to visualization, is the...
2019-05-16
What is Data Maturity?
Companies across the world are at different stages of experimenting with data and realizing what kinds of decisions can be made via deep analysis. Since these trials and realizations are happening at differing speeds, and often start from scratch within each organization, there are significant disparities in maturity between otherwise similar organizations.
2019-05-03
Machine Learning Digs Deeper into Azure with Custom Vision, Anomaly Detector
Microsoft's quarter of product announcements underscores its commitment to the cloud, its investment in machine learning as a core component of the modern enterprise, and an expansion of its focus on firstline workers who may not always have high-speed...
2019-03-30
Blogs
What DevOps Look Like in Microsoft Fabric
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
T-SQL Tuesday #192: What career risks have you taken?
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
AI: Blog a Day – Day 3: LLM Models – Open Source vs Closed Source
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
Forums
Azure Synapse database refresh
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
Ready to launch your next big game?
Looking for a creative and experienced mobile game development company that brings your game...
how to write this query?
hi everyone I am not sure how to write the query that will produce...
Question of the Day
Fun with JSON I
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