OBIEE SampleApp v406 Amazon EC2 AMI – available for public use

I wrote a while ago about converting Oracle’s superb OBIEE SampleApp from a VirtualBox image into an EC2-hosted instance. I’m pleased to announce that Oracle have agreed for us to make the image (AMI) on Amazon available publicly. This means that anyone who wants to run their own SampleApp v406 server on Amazon’s EC2 cloud service can do so.

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Important caveats

Before getting to the juicy stuff there’s some important points to note about access (more...)

Auditing OBIEE Presentation Catalog Activity with Custom Log Filters

A question that I’ve noticed coming up a few times on the OBIEE OTN forums goes along the lines of “How can I find out who deleted a report from the Presentation Catalog?”. And whilst the BI Server’s Usage Tracking is superb for auditing who ran what report, we don’t by default have a way of seeing who deleted a report.

The Presentation Catalog (or “Web Catalog” as it was called in 10g) records (more...)

Analytics with Kibana and Elasticsearch through Hadoop – part 3 – Visualising the data in Kibana

In this post we will see how Kibana can be used to create visualisations over various sets of data that we have combined together. Kibana is a graphical front end for data held in ElasticSearch, which also provides the analytic capabilities. Previously we looked at where the data came from and exposing it through Hive, and then loading it into ElasticSearch. Here’s what we’ve built so far, the borders denoting what was covered in (more...)

Analytics with Kibana and Elasticsearch through Hadoop – part 2 – Getting data into Elasticsearch

Introduction

In the first part of this series I described how I made several sets of data relating to the Rittman Mead blog from various sources available through Hive. This included blog hits from the Apache webserver log, tweets, and metadata from WordPress. Having got it into Hive I now need to get it into ElasticSearch as a pre-requisite for using Kibana to see how it holds up as a analysis tool or as a (more...)

Analytics with Kibana and Elasticsearch through Hadoop – part 1 – Introduction

Introduction

I’ve recently started learning more about the tools and technologies that fall under the loose umbrella term of Big Data, following a lot of the blogs that Mark Rittman has written, including getting Apache log data into Hadoop, and bringing Twitter data into Hadoop via Mongodb.

What I wanted to do was visualise the data I’d brought in, looking for patterns and correlations. Obviously the de facto choice at our shop would (more...)