cubing

is very puzzled, there are many people say why not try kudu or other storage engine, with this extensible architecture, you can personally try different storage engine.　　The whole extensible architecture brings a lot of benefits, first of all, to freedom, before Kylin and so on to the Hadoop platform, relying on hive,mapreduce and hbase. With this architecture, you can try some different alternative techniques. Second, scalability, the system can accept a variety of data sources, such as Kafka,

of building a cube, it is not intended to expose the existence of cube to ordinary query users.Apache Kylin The process of creating a cube is as follows: Using hive to create a wide table based on the fact table and dimension table defined by cube Extracts the distinct value of a dimension on a fact table, encodes the dimension on the fact table into a directory as a dictionary tree, encodes the dimension table as a dictionary tree Using MapReduce from the first step to get the

Overview of installing Infosphere Warehouse 10.1 components Infosphere Warehouse is a product suite that combines the advantages of DB2 with IBM's Data warehouse infrastructure. You can use Infosphere Warehouse to build a complete enterprise-class data Warehouse solution. The following components are available in the Infosphere Warehouse: Table 1. Infosphere Warehouse Components InfosphereWarehouse component infosphere WarehouseComponent Overview TD style= "B

tool. DB2 Warehouse Administration Console, which is part of the integrated scenario console. DB2 Enterprise Server Edition V9.5, which supports Linux, Unix, windows;v9.5 is the only version supported by DB2 Warehouse. DB2 Warehouse cubing Services. DB2 Query patroller V9.5. DB2 Warehouse Intelligent Miner 9.5. IBM Alphablox V9.5 and its related documentation. DB2 Warehouse V9.5 documentation, and DB2 V9.5 documents are integrated into an info

, storing single partition tables, and receiving various queries from applications. Each data module consists of a data node and four DS3524 external storage, and the system resources in the module, i.e. CPU, Memory, I/O, network, and external storage designs are balanced, thus avoiding a resource becoming a performance bottleneck. The failover module contains an alternate node (Standby node), where the standby node accesses the external storage of the failed node through the SAN storage network

, closed cube, and cube shell 1225.1.2 general data cube calculation policy 1245.2 data cube calculation method 1265.2.1 multi-channel Array aggregation for full cube computing 1265.2.2buc: Calculate Iceberg Cube 129 from the vertex cube down5.2.3star-cubing: Calculate Iceberg Cube 132 using the dynamic star Tree Structure5.2.4 fast high-dimensional OLAP pre-computed shell segment 1365.3 use exploration cube technology to process advanced queries 1415