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  2. SQLJ - Wikipedia

    en.wikipedia.org/wiki/SQLJ

    It consists of the three parts: 0, 1 and 2. Part 0 describes the embedding of SQL statements into Java programs. SQLJ part 0 is the basis for part 10 of the SQL:1999 standard, aka SQL Object Language Bindings (SQL/OLB). [1] SQLJ parts 1 and 2 describes the converse possibility to use Java classes (routines and types) from SQL statements.

  3. Object–relational mapping - Wikipedia

    en.wikipedia.org/wiki/Object–relational_mapping

    One of the arguments against using an OODBMS is that it may not be able to execute ad-hoc, application-independent queries. [citation needed] For this reason, many programmers find themselves more at home with an object-SQL mapping system, even though most object-oriented databases are able to process SQL queries to a limited extent. Other ...

  4. List of object–relational mapping software - Wikipedia

    en.wikipedia.org/wiki/List_of_object–relational...

    Apache Cayenne, open-source for Java; Apache OpenJPA, open-source for Java; DataNucleus, open-source JDO and JPA implementation (formerly known as JPOX) Ebean, open-source ORM framework; EclipseLink, Eclipse persistence platform; Enterprise JavaBeans (EJB) Enterprise Objects Framework, Mac OS X/Java, part of Apple WebObjects

  5. Ignition SCADA - Wikipedia

    en.wikipedia.org/wiki/Ignition_SCADA

    SQL Bridge is an OPC based ... The Vision module is based on Java Swing, and is capable of running code on ... Stored Procedure Group Map OPCdata to and from SQL ...

  6. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Java, C#, C, Python, Go, Node.js, Perl, libevent, PHP, Ruby, Rust Open Source (AGPL) Flash-optimized in-memory open source NoSQL database. ALTIBASE HDB: Altibase Corporation 1999 Java, C, C++, JDBC, ODBC, SQL Proprietary Altibase is a hybrid DBMS that combines an in-memory database with a conventional disk-resident database in a single unified ...

  7. MapReduce - Wikipedia

    en.wikipedia.org/wiki/MapReduce

    MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...

  8. Data mapping - Wikipedia

    en.wikipedia.org/wiki/Data_mapping

    Transformation programs are automatically created in SQL, XSLT, Java, or C++. These kinds of graphical tools are found in most ETL (extract, transform, and load) tools as the primary means of entering data maps to support data movement. Examples include SAP BODS and Informatica PowerCenter.

  9. Apache Hive - Wikipedia

    en.wikipedia.org/wiki/Apache_Hive

    Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries ( HiveQL ) into the underlying Java without the need to implement queries in the low-level Java API.