A collection of 69 posts tagged with "Modern Data Lakes"
MinIO
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Tap into unlimited amounts of valuable enterprise data with SAP Cloud and MinIO.
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Build data pipelines with S3 to MinIO and MinIO to MinIO batch replication.
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Make you Kafka topics performant and efficient with Kafka Schema Registry.
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MinIO
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The Supermicro GrandTwin™ SuperServer is a solid, well-designed NVMe class hardware that we recommend for MinIO workloads.
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Build your on-prem data lake with Apache Iceberg, Dremio and MinIO
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Learn how to get started with Dremio and MinIO on Kubernetes for fast, scalable analytics.
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We live in a cloud-native world where edge architecture must be consistent with cloud architecture, and where data can be retrieved with the same API call regardless of where it lives.
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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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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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MinIO
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Do you need to find a way to replace Hadoop in your data lake and add cloud-native capabilities?
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Learn how to build a multi-cloud data lake with the Delta open storage format and MinIO object storage.
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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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Enabling and tuning transparent data compression in MinIO.
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Learn how to build a cloud-native analytics and visualization stack backed by MinIO.
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Working with a data lake of ZIP files? Learn how to download individual files from ZIP archives saved on MinIO.
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MinIO
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Stellar performance-at-scale, flexibility and consistency make object storage the best choice for cloud-native enterprises.
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Migrate data from HDFS to MinIO and enjoy the benefits of cloud-native architecture.
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With today’s announcement of Starburst’s support for MinIO, it made sense to revisit the architectural trends that are becoming the standard for analytics workloads. Starburst provides a perfect example as we shall see shortly. The architecture follows the model of disaggregating storage and compute. Modern, high speed networks have obsoleted the old approaches espoused by the many defunct
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How to pair fast and efficient search with high-performance Kubernetes-native object storage.
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When you think about the cloud, it helps to think about the types of businesses that have been built with elastic compute, networking and storage as a foundational component and self-service/multi-tenancy as the vehicle for customer engagement. For the most part, those businesses succeeded at scaling by focusing their efforts on building their product, almost exclusively on a single
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