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
03/09/2023
To position an early startup for Series A funding, Ippon was enlisted to design & develop the IoT cloud infrastructure to support scaled delivery of the proof of concept (PoC) to beta users. In parallel, this doubled as a coaching opportunity to lift team delivery and efficiency, by partnering with the Head of Product to create their first roadmap, introduce agile processes, and enhance communication across the organization.
Read more
03/09/2023
This customer is a top credit card issuer in the US. They used an antiquated system to track their fraud and dispute cases. The system required licensing fees and was expensive to change for new business requirements. Our solution required building a new “Case-as-a-Service” platform with modern technology that was easy to change and usable by the entire enterprise. This case system handled any type of case management required among all lines of business. The customer’s primary business is credit cards, but they also have retail and commercial banking divisions. The customer prides themselves on being leaders in technology within banking. This same customer also has fully adopted the cloud and has exited data centers entirely.
Read more
03/09/2023
Top 10 private equity firm uses a data lake transformation to also pilot agile development. Their first attempt loses steam, but Ippon takes a different approach.
Read more