OBIEE Monitoring and Diagnostics with InfluxDB and Grafana

Sunday, February 8th, 2015 by

In this article I’m going to look at collecting time-series metrics into the InfluxDB database and visualising them in snazzy Grafana dashboards. The datasets I’m going to use are OS metrics (CPU, Disk, etc) and the DMS metrics from OBIEE, both of which are collected using the support for a Carbon/Graphite listener in InfluxDB. The […]

Rittman Mead’s Development Cluster, EM12c and the Blue Mendora VMware EM Plugin

Friday, January 23rd, 2015 by

For development and testing purposes, Rittman Mead run a VMWare VSphere cluster made up of a number of bare-metal servers hosting Linux, Windows and other VMs. Our setup has grown over the years from a bunch of VMs running on Mac Mini servers to where we are now, and was added-to considerably over the past twelve […]

Enable Your Dashboard Designers to Concentrate on User Experience Rather Than Syntax (or How to Add a Treemap in Two Lines)

Monday, January 19th, 2015 by

JavaScript is a powerful tool that can be used to add functionality to OBIEE dashboards.  However, for many whose wheelhouses are more naturally aligned with Stephen Few rather than John Resig, adding JavaScript to a dashboard can be intimidating. To facilitate this process, steps can be taken to centralize and simplify the invocation of this […]

Concurrent RPD Development in OBIEE

Wednesday, January 14th, 2015 by

OBIEE is a well established product, having been around in various incarnations for well over a decade. The latest version, OBIEE 11g, was released 3.5 years ago, and there are mutterings of OBIEE 12c already. In all of this time however, one thing it has never quite nailed is the ability for multiple developers to […]

Using Oracle Big Data SQL to Add Dimensions and Attributes to Hadoop Reporting

Sunday, January 11th, 2015 by

In a previous post I looked at using Oracle’s new Big Data SQL product with ODI12c, where I used Big Data SQL to expose two Hive tables as Oracle external tables, and then join them using the BETWEEN operator, something that’s not possible with regular HiveQL. In this post I’m going to look at using […]

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