Jedox is a
  software vendor that specializes in OLAP services and solutions.
  The company has been around quite a while and is probably best
  known for their PALO MOLAP engine and the matching add-in for
  Microsoft Excel.
  
  Jedox' flagship product, Jedox Premium comprises the Palo MOLAP
  engine, API's, a REST server, and ETL server, and client tools.
  It also comes with a MDX interpreter and a XML for Analysis
  server. An interesting tidbit is that the MDX layer is not
  considered native, and Jedox' own clients use a lower level API,
  or address it via the REST service.
  
  In this blog post I will explain how to install and configure the
  Open Source browser-based ad-hoc query and analysis tool Xavier
  to use it with Jedox. A video of the process is embedded
  below:
  
  
  Here's a …
  A couple of months ago I wrote about how you can use the MDX
  functions Ancestors() and Ascendants to retrieve the full lineage of
  members. (See: "MDX: retrieving the entire hierarchy path with
  Ancestors()".)
  
  As you might recall, the immediate reason to write about those
  functions was to find a pure MDX solution to implement the "Show
  Parents" / "Hide Parents" functionality offered by OLAP cube
  browsers. To recap, developers of MDX-based pivot tables face a
  challenge when rendering the result of a query like this:
[Read more]
SELECT CrossJoin(
[Product].[Product].Members,
…
  A couple of days ago I wrote about one of my forays into MDX land
  (Retrieving denormalized tabular results with
  MDX). The topic of that post was how to write MDX so as to
  retrieve the kind of flat, tabular results one gets from SQL
  queries. An essential point of that solution was the MDX
  Ancestor() function.
  
  I stumbled upon the topic of my previous blogpost while I was
  researching something else entirely. Creating flat tables and
  looking up individual ancestors is actually a rather specific
  application of a much more general solution I found initially.
  Pivot tables and the "Show Parents" functionalityGUI OLAP tools
  typically offer a pivot table query interface. They let you drag
  and drop measures and dimension items, like …