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The data block density for a particular BSO database is between 10% and 90%, and data values within the block do not consecutively repeat. Which type of compression would be most appropriate to use?
Correct Answer: A
Explanation/Reference: Bitmap is good for non-repeating data. It will use Bitmap or IVP (Index Value Pair). Note: Bitmap compression, the default. Essbase stores only non-missing values and uses a bitmapping scheme. A bitmap uses one bit for each cell in the data block, whether the cell value is missing or non-missing. When a data block is not compressed, Essbase uses 8 bytes to store every non- missing cell. In most cases, bitmap compression conserves disk space more efficiently. However, much depends on the configuration of the data. Incorrect answers: RLE: You should change to RLE compression when the block density is < 3% (or if you have all the same values in the database - lots of zeros). Note: RLE (Run Length Encoding) is a good compression type when your data has many zeros (block density low) or often repeats. RLE uses multiple compression compressions (one per block). RLE will use RLE, bitmap or IVP.
