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What is data architecture? A framework to manage data

CIO Business Intelligence

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.

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Tools for machine learning development

O'Reilly on Data

The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. Their conversation mainly centered around data engineering, data architecture and infrastructure, and machine learning (ML).

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What is a Data Mesh?

DataKitchen

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The communication between business units and data professionals is usually incomplete and inconsistent. Introduction to Data Mesh.

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Bringing scalable real-time analytics to the enterprise

O'Reilly on Data

Borthakur was the founding engineer of HDFS and creator of RocksDB , while Bhat is an experienced product and marketing executive focused on enterprise software and data products.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time. Options to reduce data management debt include automating tasks, migrating to database as a service (DbaaS) offerings, and archiving older datasets.

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Eight Top DataOps Trends for 2022

DataKitchen

From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole. With data and tools increasingly in the cloud, data organizations are finding ways to accommodate remote work. Data Gets Meshier.

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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO Business Intelligence

The challenge is that these architectures are convoluted, requiring diverse and multiple models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and niche expertise,” they said. AI-driven software development hits snags Gen AI is becoming a pervasive force in all phases of software delivery.

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