0 HTTP benchmarking using wrk. Parsing output to CSV or JSON using Python
wrk is a modern HTTP benchmarking tool. Using a simple CLI interface you can put simple load on HTTP services and…
Browsing: json
2 jq – Linux command line tool for interpreting and manipulating JSON documents
I am not the first to discover jq, or even to write about it. However, jq was such a valuable…
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 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 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 Serverless Node Function on Oracle Functions runs periodically to produce CSV report on Oracle ObjectStorage from data in ElasticSearch
This article highlights a use case implementation I recently implemented (for a demo session) leveraging Oracle Functions as well…
0 Session Catalog for Oracle OpenWorld & CodeOne 2018 in JSON files
The Oracle OpenWorld and CodeOne 2018 conferences took place in the last week of October 2018. Together, over 1500 sessions…
0 5 main building blocks of the new Visual Builder Cloud Service
In may 2018 Oracle introduced the new version of Visual Builder Cloud Service. This version is not just aimed at…
2 Oracle REST Data Services (ORDS)
While preparing for writing an article about “Oracle API Platform Cloud Service” I wanted to quickly be able to generate…
1 JSON manipulation in Java 9 JShell
In this article I will demonstrate how we can work with JSON based data – for analysis, exploration, cleansing and…
0 When Screen Scraping became API calling – Gathering Oracle OpenWorld 2017 Session Catalog with Node
A dataset with all sessions of the upcoming Oracle OpenWorld 2017 conference is nice to have – for experiments and…
0 Quickest way to get going with Node.js and MongoDB – using the mongodb Node driver and a free MongoDB instance in the cloud with mLab
While preparing for a workshop on Node.js, I ran into the by far quickest way to get some a simple…
0 Smooth, easy, lightweight – Node.js and Express style REST API with Java SE
It is easy to be seduced by some of the attractive qualities of Node (aka Node.js) – the JavaScript technology…
2 Development and Runtime Experiences with a Canonical Data Model Part I: Standards & Guidelines
Introduction In my previous blog I’ve explained what a Canonical Data Model (CDM) is and why you should use it.…
0 Development and Runtime Experiences with a Canonical Data Model Part II: XML Namespace Standards
This blog is about XML namespace standards. Primary for using them in a Canonical Data Model (CDM), but also interesting…
2 Development and Runtime Experiences with a Canonical Data Model Part III: Dependency Management & Interface Tailoring
Introduction This blogpost is part III, the last part of a trilogy on how to create and use a Canonical…
0 Introducing NoSQL and MongoDB to Relational Database professionals
Most enterprises have a lot of variety in the data they deal with. Some data is highly structured and other…