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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. A trigger is a […].

SQL 348
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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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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

Flipboard

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

ETL 137
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How to Develop Serverless Code Using Azure Functions?

Analytics Vidhya

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Azure 327
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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Database Analyst Description Database Analysts focus on managing, analyzing, and optimizing data to support decision-making processes within an organization. They work closely with database administrators to ensure data integrity, develop reporting tools, and conduct thorough analyses to inform business strategies.

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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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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