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Understanding DML Triggers in SQL Server

Analytics Vidhya

Introduction on SQL Server SQL Server is an RDBMS developed and maintained by Microsoft. Triggers are used in SQL Server to respond to an event in the database server. Trigger automatically gets fired when an event occurs in the database server. This article was published as a part of the Data Science Blogathon.

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Top 9 AI conferences and events in USA – 2023

Data Science Dojo

AI conferences and events are organized to talk about the latest updates taking place, globally. Why must you attend AI conferences and events? Attending global AI-related virtual events and conferences isn’t just a box to check off; it’s a gateway to navigating through the dynamic currents of new technologies. billion by 2032.

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Supernovas, Black Holes and Streaming Data

databricks

It demonstrates ingestion and transformation with Delta Live Tables in SQL and AI/BI-powered analysis of supernova events. The blog explores data streams from NASA satellites using Apache Kafka and Databricks.

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Learning Major SQL Data Types

Pickl AI

Summary: Mastering SQL data types improves database efficiency, query performance, and storage management. Introduction SQL (Structured Query Language) is the foundation of modern data management. Understanding SQL data types is crucial for effective querying, ensuring optimal storage, retrieval speed, and data integrity.

SQL 52
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Dynamic SQL in SQL Server

Pickl AI

Summary: Dynamic SQL is a powerful feature in SQL Server that enables the construction and execution of SQL queries at runtime. Introduction Dynamic SQL is a powerful programming technique that allows developers to construct and execute SQL statements at runtime. What is Dynamic SQL?

SQL 52
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Pattern Matching in SQL

Pickl AI

Summary: Pattern matching in SQL enables users to identify specific sequences of data within databases using various techniques such as the LIKE operator and regular expressions. This capability is essential for various applications, from data retrieval to complex event processing.

SQL 52
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Real-time transaction data analysis with IBM Event Automation

IBM Journey to AI blog

1] The need to improve real-time decision-making is contributing to a growing demand for event-driven solutions and their ability to help businesses achieve continuous intelligence and situation awareness. An event-driven architecture focuses on the publication, capture, processing and storage of events.