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  2. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...

  3. List of Apache Software Foundation projects - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_Software...

    It using the hadoop file system as distributed storage. Tiles: templating framework built to simplify the development of web application user interfaces. Trafodion: Webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop [11] [12] [13] Tuscany: SCA implementation, also providing other SOA implementations

  4. Apache Mahout - Wikipedia

    en.wikipedia.org/wiki/Apache_Mahout

    In the past, many of the implementations use the Apache Hadoop platform, however today it is primarily focused on Apache Spark. [3] [4] Mahout also provides Java/Scala libraries for common math operations (focused on linear algebra and statistics) and primitive Java collections. Mahout is a work in progress; a number of algorithms have been ...

  5. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    The Hadoop distributed file system (HDFS) is a distributed, scalable, and portable file system written in Java for the Hadoop framework. Some consider it to instead be a data store due to its lack of POSIX compliance, [36] but it does provide shell commands and Java application programming interface (API) methods that are similar to other file ...

  6. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    Its primary use is in Apache Hadoop, where it can provide both a serialization format for persistent data, and a wire format for communication between Hadoop nodes, and from client programs to the Hadoop services. Avro uses a schema to structure the data that is being encoded.

  7. Presto (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Presto_(SQL_query_engine)

    Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, [1] and allows use of multiple data sources within a query.

  8. Trino (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Trino_(SQL_query_engine)

    Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. [1] Trino can query data lakes that contain a variety of file formats such as simple row-oriented CSV and JSON data files to more performant open column-oriented data file formats like ORC or Parquet [2] [3] residing on different storage systems like ...

  9. Phalcon (framework) - Wikipedia

    en.wikipedia.org/wiki/Phalcon_(framework)

    Phalcon was created by Andrés Gutiérrez and collaborators looking for a new approach to traditional web application frameworks written in PHP. The original draft of the framework in 2011 was called "Spark", [6] the name was later changed to Phalcon, representing the words "PHP" and "falcon". Phalcon's initial release was made available on ...