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IT Orchestration vs. IT Automation: What’s the Difference?

Pure Storage

In the context of computing, container orchestration specifically refers to the management of containerized applications, where containers encapsulate an application and its dependencies, making it portable and scalable across different computing environments.

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The SSD Trap: How a Storage Solution’s Reliance on SSDs Can Impact You (Part 1 of 2)

Pure Storage

From 2012 to 2019, AFAs have risen in popularity and now drive approximately 80% or more of all storage shipments for performant application environments. Let’s take a look at each of them: SSD design is driven by the volume of the retail consumer markets rather than enterprise requirements. Next, let’s look at DRAM.

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Data Mesh vs. Data Fabric: What’s the Difference?

Pure Storage

It categorizes data based on the relevant business sector and provides access to the business user closest to the data. Is Data Mesh a Technology or a Methodology? A “data product” in a data mesh is essentially the outcome of using data—it can be anything from a consumer’s credit score to a business unit’s sales forecast.)

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Data and Cyber Resilience is Critical to Your Company’s Cybersecurity Strategy

Solutions Review

In this submission, EasyMorph Founder Dmitry Gudkov offers commentary on BI stagnation and the current state of the market for data analytics tools. Data and cyber resilient storage is a critical component for any enterprise’s corporate cybersecurity strategy. This fact is not lost on the leaders of companies.

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Storage and Data Protection News for the Week of March 15: Updates from VergeIO, Pure Storage, AtData, and More

Solutions Review

This cloud-native, distributed solution allows enterprises to accelerate data access and delivery times while ensuring low-latency access crucial for edge workloads, including cloud-based artificial intelligence and machine learning (AI/ML) applications, all through a single, unified platform. Read on for more.

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Oracle DBaaS Products Comparison

Pure Storage

Organizations can quickly provision and scale databases according to their requirements, reducing time to market for applications. DBaaS is primarily focused on providing managed database services, while PaaS offers a broader platform for application development and deployment.

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Save Time and Reduce Data Errors with DataOps

Pure Storage

In some instances, especially in large corporations, it might be typical for the data scientist to have access to the data within six months. In today’s operating reality, we’re faced with having to wait months for IT to architect, design, test, and implement integrations for new systems or new versions of applications.

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