Author Archives: Jonathan Scholtes

Building & Connecting IoT to Azure Event Hubs with HTTP

Stream sensor data in real-time to Azure Event Hubs with your own NodeMCU IoT device.

Python Image Processing on Azure Databricks – Part 3, Text Recognition

Retrieve text from images pulled with Bing search using Azure Databricks and Azure Cognitive Services.

Python Image Processing on Azure Databricks – Part 2, Image Search API

Use Azure Cognitive Services Bing Search to enable dynamic image capture from the web in Part 2 of this blog series – Image Processing on Azure Databricks.

Python Image Processing on Azure Databricks – Part 1, OpenCV Image Compare

Use Azure Databricks and OpenCv to compare images from Azure Storage Account

Adding Hbase Interpreter to Zeppelin (Hortonworks)

Setting-up Hbase Interpreter for Zeppelin.

Complex Data Relationships with Neo4j

I found myself facing a dilemma while working on a data model to incorporate medical nomenclature records (body structures, procedures, disorders, etc.), their associated relationships, and additional Healthcare data. I feared that the complexity of this data would require an overly complex RDBMS or MongoDB solution, thus making data loading and retrieval suboptimal. The amount of logic […]

Economic Indicators R Flex Dashboard

Starting with R Markdown flexdashboard

Using R Markdown and Flex Dashboard to display U.S. Economic Indicators.

Implementing an Analytical Layer

Implementation of analytical layer with mongodb and R to optimize department resources.

RMarkdown flexdashboard – Test Drive

The other week I started working with flexdashboard to see if I could create some interactive R Shiny Dashboards. If you have worked with RMarkdown and Shiny before then flexdashboard is fun and easy, if not, then some additional explanations and references may be required to ensure you are having as much fun as I […]

Forecasting and Python Part 1 – Moving Averages

I would like to kick off a series that takes different forecasting methodologies and demonstrates them using Python.  To get the ‘ball rolling’ I want to start with moving averages and ideally end the series on forecasting with ARIMA models (AutoRegressive Integrated Moving Average). My goal is to have this content ‘light’ on theory and mathematics and instead […]