What is streaming mode? Essentially it allows you to backup with Percona xtraBackup without touching disk. When used alongside MinIO Jumbo, it is designed to upload and retrieve large objects from the MinIO cluster.
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Enterprise customers use MinIO to build data lakehouses to store a wide variety of structured and unstructured data, and work with it using ML and analytics. Data flows into MinIO from across the enterprise and the S3 API allows applications, such as analytics and AI/ML to work with it.
I previously blogged about building data pipelines with SAP Data
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We’ll show you how you can use your MinIO cluster (on-prem, in the cloud, or on Kubernetes) to be used as a Helm Chart repository.
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MinIO’s training team recently completed a multi-part series on MinIO event monitoring, in which Will Dinyes brings us through five in-depth videos. By the end of the video series you should be able to register an event destination, subscribe to an event notification, and deploy a custom Python-based webhook.
Will kicks off the MinIO event monitoring series with an
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With MinIO, enterprises are not forced to make a choice. They can literally use FTP and SFTP to move that data into an S3-like data store. It is the principle of AND not OR.
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Explore the next generation of data streaming with WarpStream and MinIO! While Apache Kafka has been the standard for streaming data, it may be time to consider a simpler, more cost-effective, and cloud-native solution.
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Explore how MongoDB's Ops Manager pairs with MinIO's high-performance object storage, creating a robust backup strategy for safeguarding MongoDB data. Discover the power of this combination and how it can transform your data management strategy.
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A lot of vendors offer compression and deduplication as a feature of their storage solutions. We critically evaluate these claims by looking at the two methods used to reduce the raw disk usage.
Compression Overview
Compression in overall terms, gets its benefit from reducing redundancy in the data you upload. This means that repeated or otherwise predictable data can be
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Tap into unlimited amounts of valuable enterprise data with SAP Cloud and MinIO.
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Introduction
In a previous post, I presented feature extraction, which is a technique for utilizing pre-trained Large Language Models (LLMs) to solve a custom problem without having to retrain the model. Feature extraction is one of two ways to use the knowledge a model already has for a task that is different from what the model was originally trained to
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Apparently, the OpenSearch folks love MinIO as much as we love OpenSearch, the talk got accepted and we were invited to present it in Seattle. It was very cold in the Northwest but we were very excited nonetheless.
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Introduction
In this post, I am going to present a technique that every engineer should know for utilizing open source large models. Specifically, I will show how to perform feature extraction.
Feature extraction is one of two ways to use the knowledge a model already has for a task that is different from what the model was originally trained to
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Dive into the world of efficient data exploration with DuckDB and MinIO, without the burden of moving your data, and discover the limitless possibilities of this powerful combination.
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Tl;dr:
In this post, we will create a custom image dataset and then train a You-Only-Look-Once (YOLO) model for the ubiquitous task of object detection. We will then implement a system using MinIO Bucket Notifications that can automatically perform inference on a new image.
Introduction:
Computer vision remains an extremely compelling application of artificial intelligence. Whether it’s recognizing
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Object storage is the primary storage solution for OLAP databases. This survey highlights major database players that have embraced this movement.
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OpenObserve is an open-source observability platform designed to streamline the monitoring of logs, metrics, and traces.
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Introduction
In 1997, Clayton Christensen, in his book The Innovator’s Dilemma, identified a pattern of innovation that tracked the capabilities, cost, and adoption by market segment between an incumbent and a new entrant. He labeled this pattern “Disruptive Innovation.” Not every successful product is disruptive - even if it causes well-established businesses to lose market share or even fail
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