Confluent's WarpStream acquisition highlights the future of data streaming built on object storage. WarpStream’s cloud-native design cuts costs by 85% over traditional Kafka. Believe the hype: object storage drives low-cost, scalable performance.
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MinIO introduced its conditional write feature long before AWS S3’s recent announcement. This powerful tool offers greater control in high-concurrency environments, ensuring data consistency and reliability, especially in AI and ML workflows.
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Databrick's CEO Ali Ghodsi Decouple storage and compute for more control, lower costs, and scalability. Modern datalakes, built on high-performance object storage like MinIO, empower you to handle AI/ML workloads with flexibility and performance—without relying on proprietary platforms.
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The rise of lakehouse functionality is reshaping data management. ParadeDB's pg_lakehouse extension lets PostgreSQL integrate with object storage, enabling scalable, secure analytics. This makes the modernization of data infrastructure possible without extensive overhauls. Welcome to the future!
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Amid the AI frenzy, one silent hero powers it all: modern object storage. It may not be glamorous, but it's the backbone of today's data lakes, enabling vast, efficient data management. Discover how AIStor elevates your data infrastructure.
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AutoMQ enhances Kafka's architecture by using MinIO's object storage, cutting costs, and boosting elasticity while keeping Kafka API compatibility. This combo offers scalable, secure, and efficient data streaming, ideal for diverse cloud environments.
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Iceberg is shifting the market's focus to scalable, cloud-native storage. This shift is leading to the commoditization of query engines, offering users more flexibility, better pricing, and innovation.
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Catalogs are revolutionizing modern datalakes, with industry giants like Databricks and Snowflake adopting Apache Iceberg’s catalog REST API. A commitment to open standards enhances performance, fosters innovation, and transforms data management for AI and ML.
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The semantic layer in modern datalakes provides context and structure to raw data, crucial for key data initiatives like AI model training, data management and data governance. A unified strategy and robust infrastructure are essential for effective implementation of the semantic layer.
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Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, underscores the importance of open frameworks in modern data lake design. Open frameworks ensure interoperability, flexibility, and simplicity, benefiting those leveraging data for AI.
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Migrate from Hitachi Content Platform (HCP) to MinIO using the HCP-to-MinIO tool. Migration is a no-brainer given how MinIO offers modern, scalable, high-performance storage optimized for AI.
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Unlock Snowflake's potential by integrating external tables with MinIO. Seamlessly query external data without migration, boost analytics, save costs, and simplify access. This setup provides real-time insights and maximizes your infrastructure investment for both MinIO and Snowflake.
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Snowflake's support for external tables has seen significant updates since our last blog post on how to extend your Snowflake implementation with MinIO. External tables allow users of Snowflake to treat data in object storage like MinIO as a read-only table in Snowflake without migration. Snowflake's ongoing enhancements to their external table functionality clearly demonstrate the
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Discover how MinIO Catalog optimizes resource utilization. With real-time insights from powerful GraphQL queries, MinIO Catalog helps organizations streamline storage, cut costs, and enhance data security. Learn to manage your data efficiently and make smarter decisions.
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Explore how Kubernetes v1.30 can enhance your MinIO deployment. Kubernetes v1.30 offers enhanced security, networking improvements upcoming features in beta. Consider upgrading for optimized, secure deployments for modern data workflows.
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Discover how to seamlessly migrate from HDFS to modern object storage without ripping out all of your current systems. Learn valuable strategies to retain essential tools and modernize your infrastructure for AI/ML.
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Discover RisingWave, an open-source streaming database revolutionizing data lakehouses. Built for speed and scalability, it empowers developers with SQL on streaming data. Unlock the potential of real-time analytics and scalable data processing for your AI initiatives.
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Apache Arrow is an open-source columnar memory format that is vital for modern datalakes. This is because Arrow makes data processing swift and seamless across various systems. Arrow propels AI and analytics by enhancing interoperability and computational efficiency.
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Explore the integration of SingleStore, a high-performance cloud-native database, with MinIO in the Modern Datalake Stack. This tutorial provides hands-on experience in data storage, processing, and querying, fostering experimentation and innovation in data management, analytics, and AI workloads.
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Discover the latest trend in databases: Disaggregation 2.0. Tomasz Tunguz's insightful post on LinkedIn explores how databases are evolving into high-speed query engines, shedding traditional storage constraints. Embrace flexible, performance-driven architectures.
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