oracle data science Machine Learning Collaboration with Oracle Data Science A deep look at Oracle Data Science and the AutoML Capabilities
kafka Game of Thrones Series 8: Real Time Sentiment Scoring with Apache Kafka, KSQL, Google's Natural Language API and Python Hi, Game of Thrones aficionados, welcome to GoT Series 8 and my tweet analysis! If you missed any of the prior season episodes, here are I, II and III. Finally, after almost two years, we have a new series and something interesting to write about! If you didn't watch Episode
Technical OBIEE Component Status Notifications At Rittman Mead, we often hear requests for features or solutions generally not provided by Oracle. These requests range from commentary functionality to custom javascript visualizations. There are many ways to implement these functionalities, but organizations often lack the in-house resources to engineer an acceptable solution. Rittman Mead has the
Performance New Performance Analytics Release Poor performance is one of the most common complaints we hear upon arrival to customer sites, and often for good reason. When users have time to “make the rounds” before the system returns a result (if it returns a result at all), they have the right to be frustrated. Unfortunately,
open source Analysing Social Media Data for the Lightyear Foundation - Part 1 Outside of my job at Rittman Mead, I'm fortunate enough to be involved with a project called the Lightyear Foundation. We are a charitable organisation which aims to promote the techniques and philosophies of science, working with children and teachers in the UK and Ghana. Particularly, we try to exemplify
Big Data Using Jupyter Notebooks with Big Data Discovery 1.2 New in Big Data Discovery 1.2 is the addition of BDD Shell, an integration point with Python. This exposes the datasets and BDD functionality in a Python and PySpark environment, opening up huge possibilities for advanced data science work on BDD datasets. With the ability to push back to
Big Data Running Big Data Discovery Shell and Jupyter Notebook on Big Data Lite VM 4.5 New in Big Data Discovery 1.2 is the addition of BDD Shell, an integration point with Python. This exposes the datasets and BDD functionality in a Python and PySpark environment, opening up huge possibilities for advanced data science work on BDD datasets, particularly when used in conjunction with Jupyter
Big Data Using Python to ‘Wrangle’ Your Messy Data or How to Organize Your Comic Book Collection Based on Issue Popularity In addition to being a product manager at Rittman Mead, I consider myself to be a nerd of the highest order. My love of comic books, fantasy, sci-fi and general geekery began long before the word ‘Stark’ had
Technical Installing obi-metrics-agent, Graphite, and collectl In the previous post I introduced obi-metrics-agent, an open-source tool from Rittman Mead that can collect DMS metrics from OBIEE and write them to several formats including graphite. Graphite is a tool for storing and graphing time-based metrics. Now in this post we will look at how to install the
Technical Introducing obi-metrics-agent - an Open-Source OBIEE Metrics Collector Understanding what is going on inside OBIEE is important for being able to diagnose issues that arise, monitor its health, and dig deep into its behaviour under stress in a load test. OBIEE exposes a set of metrics through the Dynamic Monitoring Service (DMS) and viewable through Enterprise Manager (EM)
Oracle BI Suite EE Exploring OBIEE Web Services through Python My very first blog post for Rittman Mead was on the subject of Web Services in BI Publisher 11g, and now I want to return to the subject here, looking at the Web Services of OBIEE itself. Web Services are basically a way of enabling an application or service to
