By Dremio
Dremio helps cut through this complexity. It brings together key technologies like Apache Iceberg, query federation, semantic modeling, and autonomous performance tuning—all in a single platform. In this post, we’ll explore…
Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, Trino, PrestoDB, Flink, Hive and Impala using a high-performance table format…
Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs.
Apache Polaris is an open-source, fully-featured catalog for Apache Iceberg. It implements the Iceberg REST API, enabling seamless multi-engine interoperability across Apache Spark, Apache Flink, Trino, and more.
Learn how to build a modern data lakehouse architecture using Dremio, Apache Iceberg, and cloud storage. This guide covers best practices, architecture patterns, and implementation strategies.
Discover key performance optimization techniques for Apache Iceberg tables including partitioning strategies, file compaction, and metadata management.
Apache Arrow Flight is a high-performance data transport framework built on top of gRPC. Learn how to implement real-time analytics pipelines using Arrow Flight.
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