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Top 5 Data Ingestion Tools

Pure Storage

Top 5 Data Ingestion Tools by Pure Storage Blog A data ingestion tool facilitates collection of data from multiple locations and stores it in a location for further analysis. Data ingestion is the process of pulling data from multiple sources and aggregating it into a specific storage location. What Is Data Ingestion?

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Model Deployment Options in Azure

Advancing Analytics

In this blog, we break down all the available options and consider the pros and cons of each tooling option. This new capability is focussed on online/real-time scoring of models and has a managed infrastructure including automatic patching and node recovery. Azure Machine Learning. The simplest answer to this is, it depends.

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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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The Data Space-time Continuum for Analytics Innovation and Business Growth

Pure Storage

The Data Space-time Continuum for Analytics Innovation and Business Growth by Pure Storage Blog This article on analytics innovation initially appeared on Kirk Borne’s LinkedIn. High-variety data lives in a high-dimensional data feature space that also includes real space (geospatial, location-based data features) and real time (e.g.,

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Better Science, Volume 2: Maps, Metadata, and the Pyramid

Pure Storage

In this blog post, we’re going to cover how the industry at large has approached this problem in the past, talk a little bit about the current state of the art, and how Pure’s approach to this mapping problem is uniquely suited to today’s modern data landscape. Our current data challenges are best represented by the evolution of maps.

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Accelerate DevOps with JFrog Artifactory Direct Cloud Storage 

Pure Storage

To achieve faster time to market, developers are challenged with accelerating the software delivery pipeline either in the cloud or with on-premises data center resources. Many enterprises are challenged with the download speed of large binary packages required during the development process from the Artifactory filestore. The HTTP/1.1