June 18, 2013

Post: Data mart or data warehouse?

… they maintain a large historical data warehouse, but they also build data marts for OLAP analysis from the warehouse data. A different approach is to build a relational warehouse from multiple data marts, or…

Post: Shard-Query turbo charges Infobright community edition (ICE)

… OLAP/DW data model, since it typically represents a data mart. See also: “Data mart or data warehouse?”. As it is the most common data model, it… containing all of the data. Before loading, there was approximately 23GB of data. After loading, ICE compressed this data to about 2GB. The…, each shard has about 335MB-350MB of data (23GB raw data, compressed to about 2GB total data. then spread over six servers). Due…

Post: Intro to OLAP

… intelligence. (this post) Identifying the differences between a data warehouse, and a data mart. Introduction to MDX queries and the kind of SQL… report together in order to analyze multidimensional data using an OLAP tool. Data before pivoting: Data summarized in pivot form: ROLAP tools use…. Whats next? Next we’ll talk about the difference between data marts and data warehouses. The former are usually used for OLAP analysis…

Comment: Data mart or data warehouse?

…A normalized data warehouse schema might contain tables called items, categories and item_… large number of joins when many dimensions are involved. A data mart would collapse all of this information into an item dimension… single column? (Yes, I have exactly this problem in my data mart with SCD, and it requires some brutal joins). Your web…