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In computing, online analytical processing, or OLAP (/ ˈ oʊ l æ p /), is an approach to quickly answer multi-dimensional analytical (MDA) queries. [1] The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [2]
An OLTP system is an accessible data processing system in today's enterprises. Some examples of OLTP systems include order entry, retail sales, and financial transaction systems. [5] Online transaction processing systems increasingly require support for transactions that span a network and may include more than one company.
Since the early 1990s, the operational database software market has been largely taken over by SQL engines. In 2014, the operational DBMS market (formerly OLTP) was evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases.
As of Oracle Database 11g, the Oracle database optimizer can transparently redirect SQL queries to levels within the OLAP Option cubes. The cubes are managed and can take the place of multi-dimensional materialized views, simplifying Oracle data-warehouse management and speeding up query response.
As a result of these tradeoffs, row-oriented formats are more commonly used in Online transaction processing (OLTP) and column-oriented formats are more commonly used in Online analytical processing (OLAP). [2] Examples of column-oriented formats include Apache ORC, [3] Apache Parquet, [4] Apache Arrow, [5] formats used by BigQuery, Amazon ...
These cells are identified by as many dimensions as are relevant to the business: time, product, customer, account, region, etc. The cells are typically arrayed in cubes that form the basis for retrospective analyses such as comparing actual performance to plan. This is the main realm of OLAP systems.
ETL diagram in the context of online transaction processing [1] In online transaction processing (OLTP) applications, changes from individual OLTP instances are detected and logged into a snapshot, or batch, of updates. An ETL instance can be used to periodically collect all of these batches, transform them into a common format, and load them ...
OLAP server Authentication Network encryption On-the-Fly [a] Data access Cell security Dimension security Visual totals Apache Doris Built-in, LDAP, Kerberos SSL: Yes Yes Yes Yes Apache Druid: Druid Database authentication SSL: Yes No Yes No Apache Kylin: LDAP, SAML, Kerboros, Microsoft Active Directory SSL Yes No No ? Apache Pinot: HTTP basic ...