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  2. Cubes (OLAP server) - Wikipedia

    en.wikipedia.org/wiki/Cubes_(OLAP_server)

    Cubes contains a SQL query generator that translates the reporting queries into SQL statements. The query generator takes into account topology of the star or snowflake schema and executes only joins that are necessary to retrieve attributes required by the data analyst. The SQL backend uses SQLAlchemy Python toolkit to construct the queries.

  3. 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.

  4. 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 ...

  5. Query plan - Wikipedia

    en.wikipedia.org/wiki/Query_plan

    In other databases, alternatives to express the same query (other queries that return the same results) can be tried. Some query tools can generate embedded hints in the query, for use by the optimizer. Some databases - like Oracle - provide a plan table for query tuning. This plan table will return the cost and time for executing a query.

  6. Pentaho - Wikipedia

    en.wikipedia.org/wiki/Pentaho

    Community Graphics Generator (CGG) Server plug-in: latest: Pentaho plug-in that allows the user to export CCC/CDE charts as images, enabling the inclusion of CDE charts inside Pentaho Report Designer reports. In short, this plug-in is able to render server-side exactly the same chart that is rendered on the browser by CDE/CDF. Main characteristics:

  7. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    When the step of creating aggregate tables is skipped, the query performance then suffers because the larger detailed tables must be queried. This can be partially remedied by adding additional aggregate tables; however it is still not practical to create aggregate tables for all combinations of dimensions/attributes.

  8. Hockey player Matthew Petgrave crowdfunding for legal fees ...

    www.aol.com/hockey-player-matthew-petgrave-crowd...

    Canadian hockey player Matthew Petgrave has begun crowdfunding to help cover his legal fees in connection with the death of fellow hockey player Adam Johnson.

  9. BigQuery - Wikipedia

    en.wikipedia.org/wiki/BigQuery

    Managing data - Create and delete objects such as tables, views, and user defined functions. Import data from Google Storage in formats such as CSV, Parquet, Avro or JSON. Query - Queries are expressed in a SQL dialect [ 6 ] and the results are returned in JSON with a maximum reply length of approximately 128 MB, or an unlimited size when large ...

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