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The Top Three Entangled Trends in Data Architectures: Data Mesh, Data Fabric, and Hybrid Architectures

Cloudera

They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures. Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.

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Introduction to MACH Architecture

DevOps.com

As part of this trend, applications have become increasingly modular, often constructed using pre-built microservices and integrating common SaaS to avoid reinventing the wheel. The post Introduction to MACH Architecture appeared first on DevOps.com. MACH […].

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The year’s top 10 enterprise AI trends — so far

CIO

Embedded AI Embedding AI into enterprise systems that employees were already using was a trend before gen AI came along. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures. We have a plugin architecture,” says PwC’s Greenstein.

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Crafting an Agile Enterprise Architecture

DevOps.com

Digital transformation, business agility and enterprise architecture are frequently heard terms in this era of digital technologies and rapid change. In turn, this allows them to respond to shifting customer needs and trends in a more flexible and agile manner. Digital […].

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7 Trends Influencing DevOps and DevSecOps Adoption

DevOps.com

Enterprise technology adoption trends can be broadly categorized under three pillars: infrastructure, architecture and technology. Let’s explore what these trends are and how they influence DevOps and DevSecOps adoption in tech corporations worldwide. Architecture defines […].

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Evaluating a Microservice Architecture

Tandem

Microservice architecture has been a hot topic in the realm of software development for a while now. This blog post will provide a balanced view of the advantages and disadvantages of microservice architecture for enterprise software systems. However, like any technology, it has its strengths and weaknesses.

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3 data security disciplines to drive AI innovation

CIO

AI hype and adoption are seemingly at an all-time high with nearly 70% of respondents to a recent S&P report on Global AI Trends saying they have at least one AI project in production. The surging interest in implementing AI has directly increased the volume of data that organizations store across their cloud environments.