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Data architecture

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Data Warehouse Architecture: Traditional vs. Cloud Models

Data warehouse architectures are changing. Learn about traditional EDW vs. cloud-based models with lower costs, improved scalability, design & performance.

Data Warehousing & Mining

A bit of an old post by Venu Anuganti putting in the same diagram different components involved in a Big Data architecture. Any data architecture loosely consists of four major logical components: I...

Enterprise Data Architecture Solutions & Services | T/DG Technology Focus

Data Architecture Services & Solutions at The Digital Group involves data handling, data strategy, data integration & data warehousing. This helps to deliver high data performance at cost-effective scale. Read more.

Enterprise architecture on a single page

Svyatoslav Kotusev shares his one-page explanatory view of enterprise architecture (EA), reflecting on actual EA best practices that have proved to be effective in real-world organisations.


The definition of a company’s assets has changed over the years. It has moved from physical buildings to virtual assets like intellectual property. But, few companies realize how important their data is. Increased sharing of company data necessitates companies to develop solid framework of regulations to regulate how data is handled, managed, and processed. This requires the input of all peoples who are exposed to the data. Data governance extends to physical storage of the data to policies…

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Modern Unified Data Architecture

Today, most business value is derived from the analysis of data and products powered by data, rather than the software itself. The data generated by several application silos are combined and greatly…

Unstructured Data: The Data Too Important to Ignore - Expert.ai | Expert.ai

When it comes to data, many people fail to see the bigger picture. For businesses to truly improve and reach their potential, they need to understand both sides of data.

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Today, sensors and powerful data analytics are transforming everything from how you travel to the way you shop. Big data input brings together information on transport, energy, climate change and economics. When combined with data scientists, software engineers, and designers, we can find solutions to challenges like pedestrian and vehicle traffic flow, water and air pollution, and ways to improve the quality of life for our world's citizens.

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