Search Results for "impala"

Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data.

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables, at the same time. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and Hive. The Iceberg format specification is being actively updated and is open for comment. ...

...Liquibase Core works with the following databases: Apache Derby, CockroachDB, Firebird, H2, HSQL, Informix, InterBase, MariaDB, MSSQL, MySQL, Oracle, PostgreSQL, SQLite, Sybase Anywhere, Sybase Enterprise. The databases that require extensions are: Azure Cosmos DB, Cassandra, Cache, DB2i, Hibernate, Impala/Hive, MaxDB, MongoDB, Redshift, SAP HANA, SQLFire, Snowflake, Teradata, Vertica, VoltDB. See Liquibase Database Tutorials. Liquibase can be integrated with Maven, Ant, Gradle, Spring Boot, and other CI/CD tools.

...The main advantages of Doris are the simplicity (of developing, deploying and using) and meeting many data serving requirements in a single system. Doris mainly integrates the technology of Google Mesa and Apache Impala, and it is based on a column-oriented storage engine and can communicate by MySQL client.

Scalable Agent is the open implementation of IMPALA (Importance Weighted Actor-Learner Architectures), a highly scalable distributed reinforcement learning framework developed by Google DeepMind. IMPALA introduced a new paradigm for efficiently training agents across large-scale environments by decoupling acting and learning processes. In this architecture, multiple actor processes interact with their environments in parallel to collect trajectories, which are then asynchronously sent to a centralized learner for policy updates. ...

Simple, dynamic modules for Spring-based applications (ported from Impala @ googlecode)

BioSpring is a molecular simulation software based on a spring network model, including non-bonded interactions, especially designed for Interactive Molecular Dynamics. It incorporates MyPal for locating ion binding sites and IMPALA for interactive placement of membrane proteins in a membrane environment.