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Exploring Parallel Processing: SIMD vs. MIMD Architectures

DZone

In the landscape of computer architecture, two prominent paradigms shape the realm of parallel processing: SIMD (Single Instruction, Multiple Data) and MIMD (Multiple Instruction, Multiple Data) architectures.

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Medallion Architecture: Efficient Batch and Stream Processing Data Pipelines With Azure Databricks and Delta Lake

DZone

In today's data-driven world, organizations need efficient and scalable data pipelines to process and analyze large volumes of data. Medallion Architecture provides a framework for organizing data processing workflows into different zones, enabling optimized batch and stream processing.

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Advancements and Capabilities in Modern Mainframe Architecture

DZone

Mainframe architecture refers to the design and structure of a mainframe computer system, which is a powerful and reliable computing platform used for large-scale data processing, transaction processing, and enterprise applications.

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Web Application Architecture: A Comprehensive Guide

DZone

It’s an underlying web application architecture that makes this process possible. In this blog, you’ll discover what a web app architecture is, how a web application architecture diagram looks, and how you can design the right architecture for web apps.

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Batch Processing for Data Integration

DZone

In the labyrinth of data-driven architectures, the challenge of data integration—fusing data from disparate sources into a coherent, usable form — stands as one of the cornerstones. However, it would be a mistake to dismiss batch processing as an antiquated approach. Systems were not equipped to handle multiple tasks simultaneously.

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Testing Challenges Related to Microservice Architecture

DZone

Over the last few years, microservice architecture emerged to be on top of conventional SOA (Service Oriented Architecture). This much more precise and smaller architecture brought in many benefits. have backed their performance based on this architecture. have backed their performance based on this architecture.

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Exploring Apache Airflow for Batch Processing Scenario

DZone

It uses Python as its programming language and offers a flexible architecture suited for both small-scale and large-scale data processing. One of the key features of Apache Airflow is its ability to schedule and trigger batch jobs, making it a popular choice for processing large volumes of data.