Data processing types

Distinguishing between data processing types in data warehousing :
  • batch processing: the running of jobs that can run without end user interaction (source1, source2). It's a concept in #DBMS. No user interaction is involved.
  • Online transaction processing (OLTP): A system that facilitate & manage transaction-oriented applications. It's a concept in #DBMS. User interaction is involved.
  • Online Analytical Processing (OLAP): A system that answers multi-dimensional analytical (MDA) queries. It's a concept in business intelligence (BI). User interaction is involved.
    • Relational Online Analytical Processing (ROLAP): OLAP done with RDBMS, with queries computed on-demand.
      • Results for user queries are computed on-demand.
    • Multidimensional Online Analytical Processing (MOLAP)
      • Results for user queries are pre-computed. Variables in the user query are represented as dimensions of the data.
    • Hybrid Online Analytical Processing (HOLAP): some data in ROLAP, some in MOLAP.

#distinguishing-between OLTP and OLAP

  • OLAP has much more complex queries,
  • OLAP may operate in a smaller volume,
  • OLAP is for the purpose of BI or reporting, rather than to process transactions.
  • OLTP systems process all kinds of queries (read, insert, update and delete), OLAP is generally optimized for read only (and might not even support other kinds of queries).