The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...
This project implements an ETL (Extract, Transform, Load) pipeline in Python using DuckDB to process and analyze log records (in JSON format). The system extracts the data, calculates usage and ...
Microsoft SQL Server 2025 finally hit general availability today, following a private preview a year ago and a public preview back in May. That said, the AI-focused release is still in a public ...
With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...
Department of Chemical and Biomolecular Engineering, School of Energy Science and Engineering, Vidyasirimedhi Institute of Science and Technology, Rayong 21210, Thailand ...
Abstract: Cloud-based data pipelines are critical for large-scale ETL and big data analytics, yet in-efficient scheduling leads to high costs and resource underutilization. Traditional approaches, ...
Abstract The following project develops a modern data warehouse using T-SQL through ETL tasks which handle hundreds of thousands of rows associated with the static GTFS (General Transit Feed ...
Abstract: This study aims to increase ETL process efficiency »ud reduce processing time by applying the method of Change Data Capture (CDC) in distributed system using Hadoop Distributed file System ...
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