Remove Cloud Computing Remove Data Requirement Remove Data Warehouse
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Are Data Warehouses Still Relevant?

Dataversity

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant? appeared first on DATAVERSITY.

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Data Warehouse vs. Database: Understanding the Differences

Astera

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

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As AI Algorithms Become More Sophisticated in Edge Devices, Persistent Data Requirements Must Advance at the Same Pace

Actian

AI represents the next generation of computing capabilities. It is leveraging the speed and scale of cloud computing to deliver not only high-speed automation but also continuous learning and adaptation capabilities that can finally match the pace of change in the natural environment.

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As AI Algorithms Become More Sophisticated in Edge Devices, Persistent Data Requirements Must Advance at the Same Pace

Actian

AI represents the next generation of computing capabilities. It is leveraging the speed and scale of cloud computing to deliver not only high-speed automation but also continuous learning and adaptation capabilities that can finally match the pace of change in the natural environment.

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Data Migration Challenges: Strategies for a Smooth Transition

Astera

In fact, Zippia reports that 67% of enterprise infrastructure in the US is now cloud-based. Moreover, organizations are now conducting cloud-to-cloud migrations to optimize their data stack and consolidate their data assets, with the cloud computing market expected to cross the $1 trillion mark by 2028.

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 Top 5 Data Preparation Tools In 2023

Astera

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.

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

Astera

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.