This white paper presents explanations for key architecture components of Amazon Elastic MapReduce (EMR) and guides for getting started. Learn the building blocks of distributed workloads on EMR including ETL with Spark, Big Data Migration, and Machine Learning.
The authors have contributed best practices and lessons learned from their thousands of hours of combined experience.
About the authors:
— Sam Portillo, Data Engineer
— Pooja Krishnan, Data Engineer
— Emma York, Data Engineer and Technical Manager
— Rodrigo Moran, Software / Data Engineer
Ippon was engaged to help integrate a Wealth Management FinTech into one of our main customers in the finance industry. The primary goal was to increase security and automate the creation of users by integrating this new application into the company’s Single Sign-On (SSO). Ippon worked as a team of three developers closely with their architecture team to deliver this over 4 months.Read more
If you have worked with CI/CD, chances are you have used the likes of Jenkins, GitLab, GitHub Actions, etc. One service I don’t often hear folks talk about is AWS CodePipeline. In this blog, we will make some comparisons between Jenkins and AWS CodePipeline, and see if perhaps it’s time for you to make the switch on your projects.Read more
It is the story of my experience with Ippon Technologies, partnering with Richmond Heritage to lend Product and Technical expertise, to help this legacy survive and keep paying it forward.Read more