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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

Data volume continues to soar, growing at an annual rate of 19.2%. A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Think of data architecture as the blueprint for how a hospital manages patient information.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

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Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

All too often, enterprise data is siloed across various business systems, SaaS systems, and enterprise data warehouses, leading to shadow IT and “BI breadlines”—a long queue of BI requests that can keep getting longer, compounding unresolved requests for data engineering services. The bottom line.

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What Is Embedded Analytics?

Insight Software

The key is to stay agile and approach embedded analytics in an iterative way. Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Data Environment First off, the solutions you consider should be compatible with your current data architecture.