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  1. impala.apache.orgImpala

    Impala also scales linearly, even in multitenant environments. Unify Your Infrastructure Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment—no redundant infrastructure or data conversion/duplication.

    • Downloads

      On a Mac, run shasum --check ${IMPALA_TARBALL}.sha To check...

    • Overview

      Impala raises the bar for SQL query performance on Apache...

    • Community

      Apache Impala is a modern, open source, distributed SQL...

    • Impala Date and Time Functions

      Because Impala implicitly converts string values into...

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  3. en.wikipedia.org › wiki › Apache_ImpalaApache Impala - Wikipedia

    Apache Impala is an open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop. [2] Impala has been described as the open-source equivalent of Google F1 , which inspired its development in 2012.

  4. impala.apache.org › docs › buildIntroducing Apache Impala - The Apache Software Foundation

    Impala Benefits. Impala provides: Familiar SQL interface that data scientists and analysts already know. Ability to query high volumes of data ("big data") in Apache Hadoop. Distributed queries in a cluster environment, for convenient scaling and to make use of cost-effective commodity hardware. Ability to share data files between different ...

  5. data-flair.training › blogs › impala-tutorialImpala Tutorial for Beginners | Impala Hadoop ... - DataFlair

    Impala Hadoop Benefits. Impala is very familiar SQL interface. Especially data scientists and analysts already know. It also offers the ability to query high volumes of data (“Big Data“) in Apache Hadoop. Also, it provides distributed queries for convenient scaling in a cluster environment.

  6. impala.apache.org › overviewImpala - The Apache Software Foundation

    Impala raises the bar for SQL query performance on Apache Hadoop while retaining a familiar user experience. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time. Furthermore, Impala uses the same metadata, SQL syntax (Hive SQL), ODBC driver, and user ...

  7. github.com › apache › impalaapache/impala: Apache Impala - GitHub

    Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets you analyze, transform and combine data from a variety of data sources: Best of breed performance and scalability. Support for data stored in Apache Iceberg, HDFS, Apache HBase, Apache Kudu, Amazon S3, Azure Data Lake Storage, Apache Hadoop Ozone and more!

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  9. github.com › cloudera › impalaGitHub - cloudera/Impala: Real-time Query for Hadoop; mirror ...

    Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets you analyze, transform and combine data from a variety of data sources: Best of breed performance and scalability. Support for data stored in HDFS, Apache HBase and Amazon S3. Wide analytic SQL support, including window functions and subqueries.