0 Create a Native Image Binary Executable for a Polyglot Java Application using GraalVM
GraalVM provides a runtime component that enhances the JVM in several ways. It makes the JIT compilation better. It also…
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 Leverage NPM JavaScript Module from Java application using GraalVM
Interoperability from Java to JavaScript has been an objective for the Java community for quite a while. With GraalVM, there…
0 Calling out from Java to JavaScript (with call back) – leveraging interoperability support of GraalVM
Interoperability from Java to JavaScript has been an objective for the Java community for quite a while. With Rhino and…
0 Getting started with Windows Subsystem for Linux, Ubuntu and Docker
Starting with a vanilla Windows 10 environment, it took just a few simple steps to get going with Linux on…
0 Ordering rows in Pandas Data Frame and Bars in Plotly Bar Chart (by day of the week or any other user defined order)
I have time series data in my Pandas Data Frame. And I want to present an aggregation of the data…
0 Introduction to Oracle Machine Learning – SQL Notebooks on top of Oracle Cloud Always Free Autonomous Data Warehouse
One of the relatively new features available with Oracle Autonomous Data Warehouse is Oracle Machine Learning Notebook. The description on…
0 Convert Groupby Result on Pandas Data Frame into a Data Frame using …. to_frame()
It is such a small thing. That you can look for in the docs, no Stackoverflow and in many blog…
1 Dissecting Dutch Death Statistics with Python, Pandas and Plotly in a Jupyter Notebook
The CBS (the Dutch Centraal Bureau Statistiek) keeps track of many thing in The Netherlands. And shares many of its…
0 Loading Data into Always Free Oracle Autonomous Data Warehouse Cloud – from JSON and CSV to Database Table
In a number of recent articles, I have described how to provision an instance of Oracle Data Warehouse Cloud in…
0 Oracle Data Visualization Desktop Connecting to Oracle Cloud Always Free Autonomous Database
Oracle Cloud now offers the Always Free Tier that comes with an always free Autonomous Data Warehouse (up to 20…
1 Connect local SQL Developer to Oracle Cloud Autonomous Database (Always Free Tier)
In a recent article I described how to provision an instance of Oracle Cloud Autonomous Data Warehouse in the recently…
0 Oracle Cloud Always Free Autonomous Data Warehouse – steps to get going
Last month, Oracle announced it’s Cloud Free Tier on Oracle Cloud Infrastructure (OCI). This free tier offers several services (compute,…
1 Highlights from Oracle OpenWorld 2019 – Larry Ellison’s Key-Notes
This article gives some brief and key insights in Larry Ellison’s keynote presentation on Oracle Cloud Infrastructure at Oracle OpenWorld…
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,…
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…