R + Shiny + AWS

Today is different than yesterday. Businesses now want to Democratize Data, scale decision making across the organization, and run at the speed of light using Apps + Cloud Technology.

This CHANGE is challenging Data Scientists. Cloud + Apps requires a new set of skills and more learning. This NEW CHALLENGE is exactly why I held a webinar yesterday on R + Shiny + AWS.

Because once you learn the skills, you don't need a team to productionalize data science. Just 1 good data scientist that knows enough AWS to stand up Shiny apps.

Transcript

1. Empower your organization to make decisions at scale with the cloud Matt Dancho & David Curry Business Science Webinar R + Shiny + AWS
2. Agenda • Business Changes ◦ Predictive Apps ◦ Cloud Technologies • Change #1 ◦ Predictive Apps • Change #2 ◦ Cloud Service • 3 Technologies & Demos ◦ Frontend ◦ Backend ◦ Deployment • Learning Made Simple ◦ Shiny Developer with AWS Course
3. Businesses are Shifting To Predictive Web Applications Using Cloud Technologies #DataDemocratization #AtScale
4. Change #1 The Shift To Predictive Apps
5. Data Science is Changing Descriptive Reports (Excel) Descriptive Dashboards (Tableau) Predictive Reports (Jupyter & RMarkdown) Predictive Applications (Dash & Shiny)
6. ML-App that identifies anomalous payments
7. RStudio gave us what we need to deliver data science applications that our business depends on.” - John Kish, CIO at SafeAuto Insurance
8. ML-App that performs Traffic Analysis
9. “Shiny dashboard and visualization development allowed the fastest time to market.” - Daniel Marcous, Google, Waze Data Wizard
10. Change #2 The Shift To Cloud Services
11. Infrastructure is Changing Servers On Premise (Costly to Scale) Servers as a Service (AWS, Azure, GCP)
12. Microsoft snags hotly contested $10 Billion defense contract, beating out Amazon JEDI contract worth up to $10B over 10 years “The contract will provide the Pentagon with cloud services for basic storage and power all the way up to artificial intelligence, machine learning, and the ability to process mission-critical workloads."
13. Global Cloud Index 22% Annual Growth Rate vs -5% Data Center Growth
14. Cloud Players at a Glance • Amazon Web Services (AWS) - The market leader in enterprise & beyond • Microsoft Azure - 2nd in Popularity; Popular with Enterprise • Google Cloud Platform (GCP) - Popular with Digital Marketing because of integration with Google Analytics
15. Problem #1: Cloud is a lot to learn • Compute • Databases • Networking • Application Services I will help you navigate this.
16. Problem #2: Which to learn? • Problem: We don’t know what organizations will pick • Solution: Learn 1 Cloud Service. Switching guides make transitioning simple. You learn one cloud, you learn all clouds
17. What Businesses Now Expect
18. Business now need apps + cloud 2015 Reports + Servers 2020 Apps + Cloud
19. The Plan R + Shiny + AWS
20. Learn to Flow from Analysis to Application to Cloud Hosting
21. Learn by building & deploying
22. Technology #1 Frontend: Shiny + Bootstrap
23. Frontend Shiny + Bootstrap
24. Aesthetics: Control Our User Interface
25. Technology #2 Backend: Databases & Users
26. Authentication Security & User Management
27. MongoDB NoSQL Database
28. Technology #3 Deployment: Cloud
29. AWS Cloud Hosting Server Cloud
30. AWS Cloud Hosting • Compute ◦ Amazon EC2 • Networking ◦ Virtual Private Cloud ◦ Route 53 • Database ◦ MongoDB Atlas (External to AWS) ◦ FREE DynamoDB Equivalent
31. Give businesses what they need 2020 Apps + Cloud
32. A lot to learn Server Cloud
33. Learning made simple Shiny Developer with AWS
34. Follow a Step-By-Step Build & Deployment Process Shiny Jumpstart Frontend Backend Production
35. Key Benefits Frontend + Backend + Production Deployment Frontend for Shiny - Bootstrap Backend for Shiny - MongoDB - Dynamic UI - User Authentication - Store & Write User Data Production Deployment - AWS - EC2 Server - VPC Connection - URL Routing Shiny Apps for Business (DS4B 202A-R) Web Application Development 6 Weeks
36. Student Success “The perfect course for learning how to develop advanced and amazing looking Shiny web apps.” -Miguel Eersel, Consultant
37. Student Success “I’m learning something new every day.” -Jonathan Regenstein, RStudio
38. Business Science University Data Science for Business Transformation in 6-Months
39. Advanced Visualization Advanced Data Wrangling Advanced Functional Programming & Modeling Advanced Data Science Visualization Data Cleaning & Manipulation Functional Programming & Modeling Business Reporting Business Analysis with R (DS4B 101-R) Data Science For Business with R (DS4B 201-R) Web Apps & Shiny Developer (DS4B 102-R + DS4B 202A-R) Web Apps Data Science Foundations 7 Weeks Machine Learning & Business Consulting 10 Weeks Web Application Development 12 Weeks -TRACK Project-Based Courses with Business Application Business Science University R-Track
40. -TRACK BUNDLE 20% OFF PROMO Code: SHINYDEVLAUNCH $119/mo Expires Nov 1
41. Begin Learning Today university.business-science.io