In MOLAP systems, database professionals capture snapshot copies of the business's data, typically from data warehouses, and store this data separately in multidimensional arrays known as “data cubes.” The data stored in these data cubes is aggregated, summarized, organized and processed in predefined ways that aim to better optimize the data for the types of questions business managers and other users are likely to ask. Modern MOLAP systems store data in memory, which allows for even faster querying.Using this approach, database administrators (DBAs) can optimize storage, indexing and caching, and handle a great deal of calculation in advance, so that the MOLAP system responds very quickly to users' queries. MOLAP was the first widely used approach to OLAP and, while other approaches now exist, some discussions of OLAP still focus almost entirely on the MOLAP model.