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kategorie
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pojęcia
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pojęcia

Apache Spark SQL

Spark module providing a SQL and DataFrame interface to execute distributed queries with Catalyst optimization and Tungsten execution for enhanced performance.

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Presto

Open source distributed SQL query engine designed for interactive analysis of large-scale data across various sources without data movement.

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Apache Drill

Distributed schema-less query engine enabling SQL analysis of NoSQL data and structured files without predefined schema, with native JSON support.

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HiveQL

SQL-like query language for Apache Hive, transforming queries into MapReduce or Tez jobs for distributed data analysis in Hadoop.

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Apache Impala

Massively parallel SQL query engine for Hadoop, providing low-latency analytics with native architecture bypassing MapReduce for direct data access.

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Trino

High-performance distributed SQL query engine, formerly PrestoSQL, optimized for federated data analysis across multiple sources with parallel execution.

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Cost-Based Optimization

Optimization strategy using statistics on data volumes and distributions to evaluate and select the most efficient execution plan.

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Apache Calcite

Dynamic data management framework providing SQL parsing, validation, optimization, and query execution for many distributed database engines.

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Vectorized Query Execution

Query execution technique that processes data in batches rather than row by row, improving CPU cache utilization and performance.

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Distributed Join

Data join operation distributed across multiple nodes, requiring partitioning and shuffle strategies to efficiently combine distributed datasets.

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Adaptive Query Execution

Dynamic optimization approach that adjusts the execution plan in real-time based on statistics collected during execution to improve performance.

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