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Data Fabric: The Future of Data Architecture

Monte Carlo

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

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Data Fabric: The Future of Data Architecture

Monte Carlo

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

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Simplify Your Data Architecture With The Presto Distributed SQL Engine

Data Engineering Podcast

In this episode he explains how it is designed to allow for querying and combining data where it resides, the use cases that such an architecture unlocks, and the innovative ways that it is being employed at companies across the world.

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Why Evolutionary Architecture is Important in a Data-Driven World

The Modern Data Company

Data, the lifeblood of its operations, was becoming increasingly complex and unwieldy. With each new product launch and market expansion, the data architecture that once supported its growth now threatened to be its Achilles’ heel. Evolutionary architecture embodies this principle.

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The View From The Lakehouse Of Architectural Patterns For Your Data Platform

Data Engineering Podcast

Summary The ecosystem for data tools has been going through rapid and constant evolution over the past several years. These technological shifts have brought about corresponding changes in data and platform architectures for managing data and analytical workflows. BigQuery, Redshift, Snowflake, Firebolt, etc.)

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DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.