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Software Outsourcing: Why CEOs Love It

Gorilla Logic

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. The downside?

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. It’s more accessible and easier to work with, making it ideal for analytics, business intelligence, and machine learning tasks.

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Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

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Low-Code Development: Create Applications Without Programming Knowledge

Apiumhub

Agility and Flexibility : These platforms allow for quick iterations and changes, helping organizations adapt to evolving business needs and market conditions. This enables data-driven decision-making and improves business intelligence capabilities. This includes version control, change management, and quality assurance.