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
One of the silver linings of the pandemic era we’ve been through is the sheer number of innovative ideas and new businesses that have sprung up! Ippon was recently asked to do a two-week discovery for one such company that had launched a proof-of-concept (POC) for a new application that had established demand but needed help on the next steps.Read more
The journey to our modern day payments landscape is surprisingly linear. There are a number of different innovations that have all brought us to the current environment. These new technologies are improving the speed, safety, and settlement of payments. The forefront of all of these is in the ACH space where new services like Same Day ACH and FedNow are starting to make moving money from one account to another within the same day possible.Read more
Our client manages the end-to-end lifecycle for visa applications on behalf of governments across the world. Ippon was brought in to modernize the visa application platform to enable scaling for US federal government use. Ippon adapted the application to make it run within AWS GovCloud and be authorized to receive an Authority To Operate (ATO) from the US federal government. Without these changes, the application would not be usable by what would end up being the largest potential customer for our client: the US State Department.Read more