Remove tag Generative AI
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Introducing the Pure//Launch Blog

Pure Storage

Introducing the Pure//Launch Blog by Pure Storage Blog The Pure Storage data storage platform is the most innovative in the industry, constantly evolving to meet your data storage needs. This new reference architecture validation provides enterprises with more GPU server choices and de-risks AI initiatives, accelerating time to value.

Capacity 116
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Machine Learning vs. AI

Pure Storage

Artificial intelligence (AI) and machine learning (ML) are increasingly popular subjects, but what’s the difference between the two? In simple terms, AI is a wide field of technology that’s used to create intelligent machines, while ML is a subset of AI that uses algorithms to learn from data independently of human intervention. .

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Cloud Data Security Challenges, Part 1: Gaining Visibility

Pure Storage

In this three-part blog series, we’ll explore the three main challenges companies face around cloud security—visibility, complexity, and governance—and what they can do to alleviate most of the pain points from these challenges. . These probes will generate events that can then be captured, analyzed, and logged for cloud security intel.

Security 105
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GIS in Databricks

Advancing Analytics

This also paves the way for any geospatial-related ML or AI that is desired alongside any ETL. Generating cell IDs as integers allows the Mosaic to take advantage of Delta Lakes Z-ordering, making for highly optimised storage. bz2’ files can have certain tags extracted from them using the ‘options(rowTag=*tag name*)’.

Travel 59
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Data Fabric vs. Data Lake vs. Data Warehouse

Pure Storage

Data Fabric vs. Data Lake vs. Data Warehouse by Pure Storage Blog As businesses collect more “raw” data—such as computer logs or video files that have not yet been processed, cleaned, or analyzed for use—they need reliable and effective ways to manage that information until they’re ready to work with it.

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

Pure Storage

by Pure Storage Blog In today’s digital landscape, organizations face a wide array of data management challenges due to the increasing volume, variety, and complexity of data—and all the various apps and users who need to access that data. Data Mesh vs. Data Fabric: What’s the Difference?