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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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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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 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 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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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.

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Driving Profitability through Cloud Adoption

Insight Software

Nearly half of the respondents (47%) reported increased value, cost savings, and greater resiliency at their organizations as a result of operating in the cloud. When profitability goals demand greater efficiency, cloud computing can help you manage and deliver projects while cutting non-essential costs.