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MapR Converged Data Platform for Docker by Jonathan Janos
The recently announced MapR Converged Data Platform for Docker allows Docker-based apps to persist data as files, database tables and event streams, all on a single horizontally-scalable data tier that has been engineered from the ground up for speed, scale, and reliability in the modern era of Big Data. The MapR Persistent Application Client Container (PACC) provides immediate access to a suite of scalable data services, allowing developers to spend their time writing applications and business logic instead of managing infrastructure. Attend this meet-up to better understand how MapR provides a platform not just for large-scale analytics and machine learning but for deploying operational, user-facing converged applications via containers.
Jonathan is a Solution Engineer at MapR, helping executives and technologists better understand today’s landscape of big data technologies and their potential to fundamentally alter how organizations operate. He has been working in the Information Technology sector for over 20 years, leveraging a variety of roles to build a broad perspective as to how technology is sold, implemented, and managed. He previously worked at SAS, a worldwide leader in predictive analytics software, communicating to customers the many linkages between data, algorithms, and business value. Earlier in his career, Jonathan was a Technical Manager and Database Developer for Oracle, where he first began to appreciate the criticality of data to the success of any organization.Have a burning question? Ask below
Sample Code: time-series application with car telemetry
Persistent Storage for Docker Containers
Getting Started with MapR Client Container
Containers for Big Data: How MapR Expands Containers Use to Access Data Directly
Persistence in the Age of Microservices: Introducing MapR Converged Data Platform for Docker
How to deploy MapR, Mesos, Marathon, Docker and Spark and run your first containers and jobs