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  2. Query optimization - Wikipedia

    en.wikipedia.org/wiki/Query_optimization

    The performance of a query plan is determined largely by the order in which the tables are joined. For example, when joining 3 tables A, B, C of size 10 rows, 10,000 rows, and 1,000,000 rows, respectively, a query plan that joins B and C first can take several orders-of-magnitude more time to execute than one that joins A and C first.

  3. Cardinality (SQL statements) - Wikipedia

    en.wikipedia.org/wiki/Cardinality_(SQL_statements)

    An example of a data table column with low-cardinality would be a CUSTOMER table with a column named NEW_CUSTOMER. This column would contain only two distinct values: Y or N, denoting whether the customer was new or not. Since there are only two possible values held in this column, its cardinality type would be referred to as low-cardinality. [2]

  4. Query plan - Wikipedia

    en.wikipedia.org/wiki/Query_plan

    Since SQL is declarative, there are typically many alternative ways to execute a given query, with widely varying performance. When a query is submitted to the database, the query optimizer evaluates some of the different, correct possible plans for executing the query and returns what it considers the best option.

  5. Fact table - Wikipedia

    en.wikipedia.org/wiki/Fact_table

    Example of a star schema; the central table is the fact table. In data warehousing, a fact table consists of the measurements, metrics or facts of a business process.It is located at the center of a star schema or a snowflake schema surrounded by dimension tables.

  6. Hi/Lo algorithm - Wikipedia

    en.wikipedia.org/wiki/Hi/Lo_algorithm

    There is a variable defined to hold the currently assigned low value and it is assigned the value of the maximum low value plus 1 (one). The steps are: If the currently assigned low value is greater or equal than the maximum low value then call a function to fetch a new high value and reset the currently assigned low value to 0 (zero).

  7. Database tuning - Wikipedia

    en.wikipedia.org/wiki/Database_tuning

    Database tuning describes a group of activities used to optimize and homogenize the performance of a database.It usually overlaps with query tuning, but refers to design of the database files, selection of the database management system (DBMS) application, and configuration of the database's environment (operating system, CPU, etc.).

  8. Proto Labs (PRLB) Q4 2024 Earnings Call Transcript

    www.aol.com/proto-labs-prlb-q4-2024-160040256.html

    We generated $77.8 million in cash from operations in 2024, up from $73.3 million in 2023, and we returned $60.3 million to shareholders in the form of repurchases or 88% of free cash flow.

  9. Evaluation measures (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Evaluation_measures...

    Evaluation for an information retrieval system should also include a validation of the measures used, i.e. an assessment of how well they measure what they are intended to measure and how well the system fits its intended use case. [3] Measures are generally used in two settings: online experimentation, which assesses users' interactions with ...