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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.

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Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. This helps to monitor label quality and — ideally — to fix problems before they impact training data.

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

CIO

The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both. Imagine that you’re a data engineer. You build your model, but the history and context of the data you used are lost, so there is no way to trace your model back to the source.

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What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

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Thinking of building your own AI agents? Don’t do it, advisors say

CIO

The challenge is that these architectures are convoluted, requiring multiple models, advanced RAG [retrieval augmented generation] stacks, advanced data architectures, and specialized expertise.” The company isn’t building its own discrete AI models but is instead harnessing the power of these open-source AIs.

CTO Coach 207
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Technology Trends for 2025

O'Reilly Media - Ideas

Therefore, its not surprising that Data Engineering skills showed a solid 29% increase from 2023 to 2024. Interest in Data Lake architectures rose 59%, while the much older Data Warehouse held steady, with a 0.3% Its worth understanding the connection between data engineering, data lakes, and data lakehouses.

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LinkedIn open sources lakehouse tool OpenHouse

InfoWorld

LinkedIn has decided to open source its data management tool, OpenHouse, which it says can help data engineers and related data infrastructure teams in an enterprise to reduce their product engineering effort and decrease the time required to deploy products or applications.