12 07, 2016

How to Use the Jedox Integrator to Schedule and Backup OLAP Data

By |2016-12-09T11:42:12+00:00July 12th, 2016|Categories: How To|Tags: , , , , |

As of Jedox 6.0 SR3, it is possible to use a Jedox Integrator Server Job of type Groovy to execute a backup of all OLAP databases. Such a job can then be scheduled and triggered on a regular basis to produce a backup of each database without the need to shutdown any of the services. For every database, a separate

28 06, 2016

Service Release – What’s New in Jedox 6.0 SR3?

By |2016-12-09T11:42:14+00:00June 28th, 2016|Categories: Tech Bulletin|Tags: , , , , , , |

The Jedox development team has introduced the third service release of the latest Jedox version 6.0. The release SR3 comprises new features, tweaks and bug fixes, providing Jedox users with improved system stability and performance. Numerous optimizations, e.g. the asynchronous backup API or new connectivity to Tableau, further enhance the usability and help making planning, data analysis and reporting with Jedox even

25 08, 2014

Excel Charts – Combine Excel Bubble and xy scatter line chart with Jedox OLAP

By |2017-11-22T15:33:10+00:00August 25th, 2014|Categories: How To|Tags: , , , , , |

Combine Bubble and xy scatter line chart Inspired by Krisztina Szabó combined bubble and line chart, I have connected the data area with the Jedox Biker database. Krisztina Szabó published the combined graph on the page "E90E50". This Site is a collection of articles about Excel. Great Stuff.  E90E50 You can find the Step by step description here: E90E50 - Combine

5 06, 2014

SQL vs NoSQL

By |2016-12-09T11:43:17+00:00June 5th, 2014|Categories: Jedox Ecosystem|Tags: , , , , , , |

The Relational vs. Non-Relational Database Debate Over the past couple years, I’ve heard the SQL vs. NoSQL argument numerous times.  Is the argument even valid?  Regardless of your opinion, the term SQL is often used loosely. Technically speaking, SQL is a query language used against relational databases. There are other ways to access and query information from relational databases, thus,

5 05, 2014

Business Intelligence, Unpacked

By |2016-12-09T11:43:23+00:00May 5th, 2014|Categories: Trends|Tags: , , , , , , , , , |

Demystifying the world of technology and decision making Since individuals have varying job functions and unique professional experiences, their definitions of business intelligence will vary. This is a not bad thing – in fact, I’m suggesting that understanding the alternative perspectives can only make your personal definition of BI stronger. My goal (and a lofty one at that) is to

25 04, 2014

Advantages Of An In-Memory Database

By |2016-12-09T11:43:24+00:00April 25th, 2014|Categories: Trends|Tags: , , , , , , , , , |

For users of large (big) databases, having all your data on a slow spinning hard disk can make it difficult to do analysis in a timely manner. Your sales numbers, inventory, customer information and other performance data can be better accessed and analyzed when it is stored on special high-speed memory chips, or an In-Memory Database. Ashlee Vance of Bloomberg

24 01, 2014

The Best of All Worlds: Integrating OLAP, RDBMS and Web Services

By |2016-12-09T11:43:31+00:00January 24th, 2014|Categories: Jedox Ecosystem|Tags: , , |

One click integration: OLAP/RDBMS/Online Service A requirement that is very often communicated to us in client projects these days is “Data mash up”. The ability to integrate internal and external data sources more effectively and enabling more holistic insights. One of the key challenges in the setup of analytical application processes is the side by side use of relational databases