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  2. Essbase - Wikipedia

    en.wikipedia.org/wiki/Essbase

    Also note that of the above competitors, including Essbase, all use heterogenous relational (Microsoft SQL Server, Oracle, IBM DB/2, TeraData, Access, etc.) or non-relational data sourcing (Excel, text Files, CSV Files, etc.) to feed the cubes (facts and dimensional data), except for Oracle OLAP which may only use Oracle relational sourcing.

  3. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    OLAP is typically contrasted to OLTP (online transaction processing), which is generally characterized by much less complex queries, in a larger volume, to process transactions rather than for the purpose of business intelligence or reporting. Whereas OLAP systems are mostly optimized for read, OLTP has to process all kinds of queries (read ...

  4. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    TM1 Web/TM1 Contributor, IBM Cognos Insight, IBM Performance Modeler, IBM Cognos Cafe for Excel, Cognos BI, TM1 Perspectives for Excel Yes Yes icCube Yes Yes Yes Java, [23] R [24] Yes In the reporting Yes icCube reporting and all XMLA compliant visualization tools like Excel, etc Yes Yes Jedox OLAP Server: Yes Yes Yes Cube Rules, SVS Triggers ...

  5. Online transaction processing - Wikipedia

    en.wikipedia.org/wiki/Online_transaction_processing

    OLTP is typically contrasted to online analytical processing (OLAP), which is generally characterized by much more complex queries, in a smaller volume, for the purpose of business intelligence or reporting rather than to process transactions. Whereas OLTP systems process all kinds of queries (read, insert, update and delete), OLAP is generally ...

  6. Operational database - Wikipedia

    en.wikipedia.org/wiki/Operational_database

    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.

  7. “What’s The Most Frugal Thing You Do?” (50 Answers) - AOL

    www.aol.com/lifestyle/people-shared-66-most...

    Exercise for the win. Image credits: Sprinqqueen. Many of us might think frugal living is all about grabbing the cheapest products off the shelf, but that’s not quite the case. Being frugal isn ...

  8. Hybrid transactional/analytical processing - Wikipedia

    en.wikipedia.org/wiki/Hybrid_transactional/...

    With greater data demands among businesses, [citation needed] OLAP also has evolved. To meet the needs of applications, both technologies are dependent on their own systems and distinct architectures. [7] [6] As a result of the complexity in the information architecture and infrastructure of both OLTP and OLAP systems, data analysis is delayed.

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