An abbreviated version of this post appeared on The New Stack on March 19th, 2024. In enterprise artificial intelligence, there are two main types of models: discriminative and generative. Discriminative models are used to classify or predict data, while generative models are used to create new data. Even though Generative AI has dominated the news of late, organizations are still
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I suspect some folks will accuse me of clickbait titling. Others will say, that’s not really a reach - most folks will fail in their initial AI attempts but it doesn’t matter and the learnings are worth it. On some level both are right - but I think WHY enterprises will fail is worth exploration and may allow
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Unleash data collaboration and quality with Nessie! Learn to manage branches, commits, and merges effortlessly. This guide walks you through deploying Dremio, MinIO, and Nessie, transforming your data engineering with collaborative precision. Dive in to revolutionize your workflows!
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In this post let's take a look at how to set up multiple LXMIN servers backing up to a multi-node multi-drive MinIO cluster.
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Unlock the secrets of modern datalakes migration to the private clouds. Embrace S3 compatibility, data control, and the ever-evolving landscape for cost-effective data management. Don't miss the journey to enhanced flexibility, efficiency, and the future-proofing of your data ecosystem
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This is your symphony for data excellence. Explore the components of this modern data stack, including storage, data integration, transformation, data observability, data discovery, data visualization, data analytics, and machine learning.
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Unlock the true potential of your cloud migration journey! Learn how embracing the cloud as an operating model, rather than a location, can revolutionize your technology approach. Find out why portability, the right tools, and open standards are your keys to success.
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Build a streaming Change Data Capture (CDC) pipeline with Redpanda and MinIO into Snowflake. This solution simplifies data migration and analytics, with Redpanda offering scalability, MinIO as efficient storage, and Snowflake as a cloud-native analytics engine.
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Email is the ultimate performance-at-scale use case as it generally only goes up in terms of data volume. Further, the more data that’s stored, the more valuable the data becomes. MinIO’s multi-site active-active replication focuses on keeping the cluster in top performance.
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We were recently asked by a journalist to help frame the challenges and complexity of the hybrid cloud for technology leaders. While we suspect many technologists have given this a fair amount of thought, we also know from first-hand discussions with customers and community members that this is still an area of significant inquiry. We wanted to summarize that thinking
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Most developers, engineers, architects and DevOps folks know MinIO. Not all know that the only thing we do is software-defined object storage. We don’t do file or block. We don’t offer a service, it is self-hosted. Our focus is singular. The result is that our object store is objectively, based on adoption, awards and customer feedback the best
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In this post we’ll talk about Erasure Coding and Erasure Sets, and then dive deeper into how to use the Erasure Code Calculator when designing deployments to make the most out of MinIO by opting for the right hardware configuration setup from the get go.
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You must have heard of different data formats like Parquet, ORC, Avro, Arrow, Protobuf, Thrift and MessagePack. What are they and how to choose the right one?
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Deep dive into MinIO mindset on how we do and recommend updates and restarts with MinIO.
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Traditionally, the design, acquisition and deployment of storage required specialized skills and the ability to manage a fair amount of complexity to do successfully. Modern object storage has changed that. This is particularly poignant today - where the purchase of SAN and NAS appliances often take months, or longer, to complete. This stands in stark contrast to software defined object
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Learn how to use DataProfiler, an OSS project, to identify sensitive information, & you can then use MinIO object storage to protect data.
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Creating a framework for high-performance, cloud-native object storage is mission-critical in the modern enterprise. Take a look at The Buyer’s Guide to Software Defined #ObjectStorage to understand the key capabilities.
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Have you ever wondered how the big dogs with hundreds of apps and millions of users manage their Continuous Integration (Builds) and Continuous Delivery (Deployments) workflows?
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Let open source software help you with simplifying enterprise conversational AI needs and let MinIO handle the storage solutions to enable continuous learning and optimize the knowledge base for improved chatbot experience.
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This post focuses on how Iceberg and MinIO complement each other and how various analytic frameworks (Spark, Flink, Trino, Dremio, and Snowflake) can leverage the two.
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