The Modern Datalake is one-half data warehouse and one-half data lake and uses object storage for everything. The use of object storage to build a data warehouse is made possible by Open Table Formats OTFs) like Apache Iceberg, Apache Hudi, and Delta Lake, which are specifications that, once implemented, make it seamless for object storage to be used as the
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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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In this blog post we’ll show you how you can quickly get up and running with MinIO, KES and Vault to fully understand the capabilities of server-side encryption.
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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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We’ll go over how to set up the required infrastructure for integrating GitHub Enterprise packages and actions to use MinIO as a backend. At a high level we’ll need running instances of MinIO and GitHub Enterprise.
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With the advent of cloud computing, ephemeral compute instances have become ubiquitous. This introduces a whole set of challenges around managing the software, applying DevOps principles, addressing security vulnerabilities and ensuring automation. These are mission-critical in order to prevent data theft and service disruption. Addressing security vulnerabilities is particularly challenging as it frequently takes the form of updating and restarting
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