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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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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality. Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks.

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

Cloudera

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. First, we describe how data mesh and data fabric could be related.

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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. They predicted more mature firms will seek help from AI service providers and systems integrators.

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Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake

AWS Big Data

Troubleshooting If data is not loaded into Kinesis Data Steams after the KDG sends data to the Firehose delivery stream, refresh and make sure you are logged in to the KDG. If you made any changes to the Snowflake destination table definition, recreate the Firehose delivery stream.

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Data Management 20/20: Anatomy of a Business Glossary Definition

TDAN

The business glossary is simple in concept, but it can be a challenge to structure, define and maintain shared business terminology. Consistent business meaning is important because distinctions between business terms are not typically well defined or documented.

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Build a multi-Region and highly resilient modern data architecture using AWS Glue and AWS Lake Formation

AWS Big Data

It contains references to data that is used as sources and targets in AWS Glue ETL (extract, transform, and load) jobs, and stores information about the location, schema, and runtime metrics of your data. The Data Catalog organizes this information in the form of metadata tables and databases.