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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

Whether it’s unifying transactional and analytical data with Hybrid Tables, improving governance for an open lakehouse with Snowflake Open Catalog or enhancing threat detection and monitoring with Snowflake Horizon Catalog , Snowflake is reducing the number of moving parts to give customers a fully managed service that just works.

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Modern Data Architecture: Data Mesh and Data Fabric 101

Precisely

As data management grows increasingly complex, you need modern solutions that allow you to integrate and access your data seamlessly. Data mesh and data fabric are two modern data architectures that serve to enable better data flow, faster decision-making, and more agile operations.

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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights.

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How Marriott Modernized Their Data Architecture with Snowflake

Snowflake

More than 50% of data leaders recently surveyed by BCG said the complexity of their data architecture is a significant pain point in their enterprise. As a result,” says BCG, “many companies find themselves at a tipping point, at risk of drowning in a deluge of data, overburdened with complexity and costs.”

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The benefits of modern data architecture

InData Labs

Big data is central to the efficient running of all modern organizations, but to be of use, raw data must be suitably organized. Запись The benefits of modern data architecture впервые появилась InData Labs.

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AI’s Impact on Data Engineering Careers

Ascend.io

Data engineering is the backbone of any data-driven organization, responsible for building and maintaining the infrastructure that supports data collection, storage, and analysis. Traditionally, data engineers have focused on the technical aspects of data management, ensuring data pipelines run smoothly and efficiently.

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Data Architecture: Lessons Learned

Towards Data Science

Three important lessons I have learned on my journey as data engineer and architect Continue reading on Towards Data Science »