A collection of 13 posts tagged with "AWS"
AWS recently unveiled Amazon S3 Tables, claiming to optimize Iceberg analytics on S3. Yet, these "special buckets" mainly fix AWS's own limits—like request caps—not universal object storage issues. With AIStor, you get unmatched performance, no vendor lock-in, and no extra costs for table maintance.
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Step by step instructions to plan for a migrate data off AWS S3 and on MinIO on-premise.
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The double whammy of inflation (and correspondingly high interest rates for the foreseeable future), demand destruction and an uncertain outlook have companies aggressively looking for cost savings. Now. While reducing headcount is a current play for most of the tech industry, there is real money in the data stack. Every company is a data company at this juncture - it
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Get started quickly and easily with Kubernetes native object storage on Amazon EKS.
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Learn about the four options to expose MinIO services outside of your Kubernetes cluster.
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As AWS Local Zones expand - object storage is needed. AWS recommends using MinIO.
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Learn how to install and customize the world's fastest object storage on the world's largest public cloud.
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Bring multicloud strategy to life quickly and easily with MinIO in AWS Marketplace.
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The promise/allure of the public cloud is based on the concept that it is elastic. One can, with little effort, scale up workloads and, if desired, scale down those same workloads. We have written on this subject before - from the perspective of what workloads to consider as you evaluate what to take to the public cloud and what
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As data has grown, so has the challenge associated with moving it. Indeed, the bandwidth costs to migrate a PB of data out of AWS would be more than keeping it there for years. Still, customers often need to move large amounts (100s of TBs up to PBs) with some frequency. Amazon knows this and has, in their intensely customer
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Apache Spark is a framework for distributed computing. It provides one of the best mechanisms for distributing data across multiple machines in a cluster and performing computations on it. Spark achieves this by constructing data structures called RDDs (Resilient Distributed Datasets). RDDs allow data to be broken into disparate chunks and processed independently of one another. The individual chunks can
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The growth of Presto in the enterprise is a function of its speed, SQL compatibility, extensibility and enterprise feature set. While initially designed to speed up Hadoop, the success of the project has led to much broader adoption - on S3, Cassandra, MySQL, and more. Presto allows for data queries that traverse data stores and locations - a big plus
Read moreContainers running on orchestration platforms like Kubernetes, Docker Swarm, DC/OS et al. offer powerful, versatile ways to deploy applications. Containers let you deploy isolated application instances, and you can launch multiple such instances to scale up your load serving capacity. You don’t even need to worry about individual server capacities and scheduling thanks to orchestration tool, which provide
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