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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Ensure security and access controls.

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The key to operational AI: Modern data architecture

CIO

The team should be structured similarly to traditional IT or data engineering teams. To succeed, Operational AI requires a modern data architecture. This team serves as the primary point of contact when issues arise with models—the go-to experts when something isn’t working.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

Imagine that you’re a data engineer. These challenges are quite common for the data engineers and data scientists we speak to. That’s why we’re introducing a new disaggregated architecture that will enable our customers to continue pushing the boundaries of performance and scale.

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Thermodynamic Computing: The next computer architecture

Ooda Loop

They do not bring gasoline engines or other power sources. They take […] The post Thermodynamic Computing: The next computer architecture appeared first on OODAloop. The surfer may surf for pleasure or competition, but whatever their purpose, they become one with the ocean, harnessing its raw power to surf.

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Top Considerations for Building an Open Cloud Data Lake

Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data. The primary architectural principles of a true cloud data lake, including a loosely coupled architecture and open file formats and table structures.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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Giving more tools to software engineers: the reorganization of the factory

Erik Bernhardsson

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. Mediocre software exists because someone wasn't able to hire better engineers, or they didn't have time, or whatever.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Prioritize engineering work by putting it in the context of end user experience. However, this increased velocity often comes at the cost of overall application performance or reliability.

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Microservices: The Dark Side

Speaker: Prem Chandrasekaran

In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. How these strategies can be applied in different size engineering organizations.