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Eamon McGaley

Author: emcgaleyfexcosoftwareoutlook-onmicrosoft-com

Azure Databricks & Kafka Enabled Event Hubs
  • Development

Azure Databricks & Kafka Enabled Event Hubs

  • Posted on 17th January 201917th January 2019
  • by Eamon McGaley

I recently configured a Kafka enabled Event Hub in Azure. I used a Spark Scala cluster to stream these events. The following are my findings. Kafka Enabled Event Hub First…

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Gherkin Syntax
  • Development

Gherkin Syntax

  • Posted on 4th December 201820th December 2018
  • by Eamon McGaley

We need to capture requirements in a clear and consistent manner.  We will be using Gherkin syntax for doing this.  Gherkin syntax provides a structured way to writing requirements for…

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Databricks Notebooks Code Review Guidelines
  • Development

Databricks Notebooks Code Review Guidelines

  • Posted on 3rd October 201817th November 2018
  • by Eamon McGaley

The following is a guideline for code reviewing Spark Applications.  The code review doesn’t just end at the code, there are several configurations to review too.  A clean configuration is…

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Power BI Reporting Tool
  • Development

Power BI Reporting Tool

  • Posted on 31st July 201831st July 2018
  • by Eamon McGaley

While working on the Benchmark tool, we wanted a way to visualize the results.  Visualizations would allow us to view benchmark results.  We could compare results.  And view performance over…

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Benchmark Tool
  • Development

Benchmark Tool

  • Posted on 9th July 20189th July 2018
  • by Eamon McGaley

Following on from the benchmarking overview post, the following post will go into more detail on what metrics we are capturing, how we consume, and how we will intend to…

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Benchmarking Performance Metrics
  • Development

Benchmarking Performance Metrics

  • Posted on 8th June 2018
  • by Eamon McGaley

You don’t just want to do know that your system is working, you want to know that your system is working well.  Gathering performance metrics is essential in knowing this.…

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Cassandra Materialized Views ready for Production?
  • Development

Cassandra Materialized Views ready for Production?

  • Posted on 8th May 2018
  • by Eamon McGaley

BACKGROUND While working on modelling a schema in Cassandra I encountered the concept of Materialized Views (MV).  MVs are basically a view of another table.  So any CRUD operations performed…

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API Guidelines
  • Uncategorised

API Guidelines

  • Posted on 2nd March 20189th March 2018
  • by Eamon McGaley

The following are some guidelines to be used when developing API’s. Keeping methods and responses consistent is very important for the consumers to understand the API. HTTP Methods GET: GET…

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Exporting Azure SSL Certificates
  • Build Platform

Exporting Azure SSL Certificates

  • Posted on 28th February 20189th March 2018
  • by Eamon McGaley

Azure allows you to purchase/manage SSL certificates through the Azure portal.  The service is call App Service Certificates.  However, the portal only accommodates using the SSL cert for other Azure…

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Blog Authors

Daniel MailloDaniel Maillo (7)
David O'BrienDavid O'Brien (1)
Eamon McGaleyEamon McGaley (9)
Emival SilvaEmival Silva (4)
Fernando MunozFernando Munoz (10)
Jesus de DiegoJesus de Diego (34)
Marc DourieuMarc Dourieu (2)
Mark O'BrienMark O'Brien (1)
Rodrigo LeiteRodrigo Leite (6)
Tulio CastroTulio Castro (6)
Xavier SierraXavier Sierra (5)

Recent Posts

  • Secure Transaction Service (II): The Customer Registry and Transaction Registry Data Models
  • Real time stream processing with Databricks and Azure Event Hubs
  • Azure Databricks & Kafka Enabled Event Hubs
  • Fexco API Technology Landscape: TechRadar 2018-Q4
  • Automatic Requirements Management for Continuous Delivery. Part 2

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Recent Comments

  • Secure Transaction Service (II): The Customer Registry and Transaction Registry Data Models - Tech Blog on Secure Transaction Service (I): The Compliance Request Model
  • Secure Transaction Service (II): The Customer Registry and Transaction Registry Data Models - Tech Blog on FEXCO API-Centric Approach (I)
  • Xavier Sierra on Real time stream processing with Databricks and Azure Event Hubs
  • Sam Vanhoutte on Real time stream processing with Databricks and Azure Event Hubs
  • Real time stream processing with Databricks and Azure Event Hubs - Tech Blog on Computing Platform (3): Fast Lane Operations with Spark Applications

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