As Head of Ecosystem Programs, Dave uses emerging technologies and open source projects like Microservices, Serverless & Kubernetes to bring the magic of Redis to the broader community. Dave has extensive ecosystem experience from his years of engagement in the web, cloud and big data trenches. Prior to Redis Labs, Dave led the relationship between Intel’s Deep Learning in Apache Spark project and public cloud providers; and at PayPal where he helped pioneer web api developer evangelism.
In this session you will learn how to get started with Data Science using common tools and libraries. ??First we will Introduce data analytics, data mining and machine learning. Then we will demonstrate a data analytics workflow including data capture, data ingestion, data processing, data model training and deployment to your application.
In this session, I will review the different types of NoSQL databases (key-value, key-datastructure, document, column, graph, etc.) and their individual strengths and weaknesses. Then I will go into detail about Redis by reviewing the functions and data structures used by Redis developers to solve common scalability challenges. You can learn more about Redis at http://redis.io and http://redislabs.com/ebook
In this session, I will give a step-by-step walk-through of how to develop a data-driven node.js web application for Cloud Foundry and deploy it into IBM Bluemix or Pivotal Web Services. Feel free to bring your own laptops as this will be a hands-on workshop with plenty of opportunities to try things out.