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SQLServerCentral Article

Creating a Linked Server in Amazon RDS for SQL Server: A Step-by-Step Guide

Linked servers in Amazon RDS for SQL Server allow seamless connectivity to remote databases for distributed queries and data integration. In this article, I guide you through the step-by-step process of creating a linked server using SQL commands, from setting up authentication to testing the connection. Learn best practices, advanced configurations, and essential considerations, including why you can't use SSMS for linked server setup in RDS. This professional guide is tailored for experienced database administrators looking to optimize cross-server operations.

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2025-01-29

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Technical Article

A Practical Guide to Using Azure Key Vault in Enterprise Deployments

Key vaults define security boundaries for stored secrets. It allows you to securely store service or application credentials like passwords and access keys as secrets. All secrets in your key vault are encrypted with a software key. When you use Key Vault, you no longer need to store security information in your applications. Not having to store security information in applications eliminates the need to make this information part of the code.

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2025-01-29

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External Article

Add and Subtract Dates using DATEADD in SQL Server

Date manipulation is a common scenario when retrieving or storing data in a Microsoft SQL Server database. There are several date functions (DATENAME, DATEPART, DATEADD, DATEDIFF, etc.) that are available and in this tutorial, we look at how to use the DATEADD function in SQL queries, stored procedures, T-SQL scripts, etc. for OLTP databases as well as data warehouse and data science projects.

2025-01-27

SQLServerCentral Article

Boosting Data Accuracy: Resolving Common Data Quality Issues Using SQL

Poor data quality significantly hinders large enterprises from deriving meaningful value. The variety of data is a crucial factor to account for when assessing & rectifying data quality, as diverse data types introduce unique challenges in maintaining accuracy and consistency. Good data quality and integrity are essential for accurate insights, good decision-making, and potential success of large enterprises. Inconsistent, incomplete, and inaccurate data significantly affect business operations, customer satisfaction, and financial performance. SQL provides robust functions to proactively identify and resolve these data quality issues, ensuring accurate, reliable, and consistent data for reporting and analysis.

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2025-01-24

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SQLServerCentral Article

Influencing a Local AI

I set up a local AI LLM to run and then conducted some experiments. This post shows a bit about the experiments and a little code. The setup is on my blog using Docker to containerize an Ollama LLM, which you can read about. The Basic Setup If you read my blog, I downloaded an […]

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2025-01-20

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SQLServerCentral Article

Vector DB implementation using FAISS

Searching for relevant information in vast repositories of unstructured text can be a challenge. This article explains a Python-based approach to implementing an efficient document search system using FAISS (Facebook AI Similarity Search) for Vector DB and sentence embeddings, which can be useful in applications like chatbots, document retrieval, and natural language understanding. In this […]

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2025-01-17

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Blogs

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Creating a JSON Document IV

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Restoring Azure Key Vault Keys and Validating SQL Server TDE Recovery: Level 7 of the Stairway to TDE

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Question of the Day

Creating a JSON Document IV

I have this data in a table called dbo.NFLTeams 

TeamID  TeamName       City             YearEstablished
------  --------       ----             ---------------
1       Cowboys        Dallas           1960
2       Eagles         Philadelphia     1933
3       Packers        Green Bay        1919
4       Chiefs         Kansas City      1960
5       49ers          San Francisco    1946
6       Broncos        Denver           1960
7       Seahawks       Seattle          1976
8       Patriots       New England      1960
If I run this code, how many rows are returned? 
SELECT 
  YearEstablished,
  json_objectagg(city : TeamName)
FROM dbo.NFLTeams
GROUP BY  YearEstablished;

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