An Essbase outline has a number of dimensions. The number of dimensions can range in quantity and size, but each dimension is identified as a dense or sparse dimension. As we understood the concept of Dense and Sparse in our last discussion, let’s begin with the cocept of data blocks now. To understand this, let’s carry forward our hierarchy of 5 dimensions in a test application in my previous post.. We have 3 dense and 2 sparse dimensions each with 3 stored members. So let’s begin: Number of Existing Blocks = (potential number of blocks) * estimated density= 9 Block Size = Dense Stored * Dense Stored * Dense Stored * 8 bytes = 3*3*3 *8 = 216 Potential number of blocks = Sparse Stored * Sparse Stored = 9 If all dimensions are assigned as Dense, Number of Existing Blocks = (potential number of blocks) * estimated density= 1 Block Size = Dense Stored * Dense Stored * Dense Stored * 8 bytes = 3*3*3*3*3 *8 = 1944 Potential number of bloc...
Currently focused on Essbase on cloud