0 Downsizing the Data Set – Resampling and Binning of Time Series and other Data Sets
Data Sets are often too small. We do not have all data that we need in order to interpret, explain,…
Author Lucas Jellema
Lucas Jellema
Lucas Jellema, active in IT (and with Oracle) since 1994. Oracle ACE Director and Oracle Developer Champion. Solution architect and developer on diverse areas including SQL, JavaScript, Kubernetes & Docker, Machine Learning, Java, SOA and microservices, events in various shapes and forms and many other things. Author of the Oracle Press book Oracle SOA Suite 12c Handbook. Frequent presenter on user groups and community events and conferences such as JavaOne, Oracle Code, CodeOne, NLJUG JFall and Oracle OpenWorld.
0 Prepare Jupyter Notebook Workshop Environment through Docker container image and Bootstrap Notebook
Earlier this week, I presented a workshop on Data Analytics. I wanted to provide each of the participants with a…
2 Determine the Language of a Document from the Letter Frequency – using Levenshtein Distance between sequences
Even though many languages share the same or a very similar alphabet, the use of letters in documents written in…
0 Tour de France Data Analysis using Strava data in Jupyter Notebook with Python, Pandas and Plotly – Step 2: combining and aligning multi rider data for analyzing and visualizing the Race
In this article, I analyze the race that took place in stage 14 of the 2019 Tour de France in…
0 Tour de France Data Analysis using Strava data in Jupyter Notebook with Python, Pandas and Plotly – Step 1: single rider loading, exploration, wrangling, visualization
In this article, I will show how to analyze the performance of Steven Kruijswijk during stage 14 of the 2019…
0 Analyzing the 2019 Tour de France in depth using Strava performance data from Race Riders
This year’s Tour de France was quite a spectacle. Great performances, exciting stages, unexpected events: it had it all. Analyzing…
0 Monitoring Oracle Database using Prometheus
Prometheus is a very popular framework for gathering metrics from a plethora of runtime components, recording, analyzing, visualizing them and…
0 Collective Data Set and Equal Data Position between B2B Partners in Data Sharing Ecosystems – enter: Blockchain
Many organizations collaborate in one or more ecosystems: groups of organizations that work together in vertical chain or share common…
0 Correlation calls for Common Cause Consideration
Correlation is a powerful thing. When two metrics rise and fall in a similar way, surely that cannot be just…
0 Custom Log Parser in OMC Log Analytics to deal with Extended Logging in WebLogic Access Log
We recently enabled Extended HTTP Access Logging on our WebLogic Managed Servers. This adds the average response times and potentially…
0 Smoke Escaping from a Black Box – how to tackle major production issues on a system that is not very transparent
This story is based on true events. It happened fairly recently.I was called into an organization that was experiencing performance…
0 The Pipelined Pancake Party – demonstrating the Power of Parallelization and Pipelining in JavaScript with Promises and Asynchronous Generators
This article is an attempt to demonstrate the performance gains – and programming elegance – that is at our disposal…
0 JavaScript Pipelining using Asynchronous Generators to implement Running Aggregates
As of ES 2018 (recent browsers or Node 10), JavaScript support asynchronous generators. Generators are functions that return a set…
0 Jupyter Notebook for retrieving JSON data from REST APIs
If data is available from REST APIs, Jupyter Notebooks are a fine vehicle for retrieving that data and storing it…
0 The Full Oracle OpenWorld and CodeOne 2018 Conference Session Catalog as JSON data set (for data science purposes)
Oracle OpenWorld and CodeOne 2018 are two co-located conferences that took place in October 2018. Some 2000 sessions presented by…
0 JavaScript Generators – How functions return a stream of results, yielding one result at a time
It was through inspecting some Python code that relied quite heavily that I suddenly realized the beauty of the ES6…
0 Newly released: Oracle Exadata X8-2 – bigger disks for saving money, expanding capacity
Earlier this month, Oracle announced the availability of the latest Exadata machine, the X8-2. As well as the option to…
0 Extremely convenient way to run free Oracle Database 18c on your laptop – or anywhere else – using Vagrant & Virtual Box
Oracle Database 18c XE (eXpress Edition) is the free community edition of the enterprise edition of Oracle Database. Oracle Database…
0 Updating running Kubernetes resources from the kubectl commandline using the patch command
All too often I found myself editing Kubernetes resource definitions in the Kubernetes Dashboard. Modifying for example the type of…
0 Running Apache Kafka on Minikube
I frequently want to demonstrate the working of Apache Kafka and/or provide colleagues and other audiences with an environment for…