Welcome to our recap post for Watson Data Platform IBM Code Patterns! In this post I will cover what Watson Data Platform is, what it can be used for, and a list of IBM Code Patterns that you can check out.
What is Watson Data Platform?
Watson Data Platform is a set of data and analytics features, all available on IBM Cloud. It’s easy to choose a combination of services that application developers, data scientists, and data engineers can use to complement your existing architecture and compose business solution. Whether this is preparing your data with the IBM Data Catalog; storing your data in Cloudant; analyzing it with the IBM Data Science Experience; creating an application with Watson Maching Learning; Watson Data Platform has you covered!
So, what can you use Data Platform for?
- Analyze data with the Data Science Experience
- Leverage the latest in sync’ing your data by creating an offline first app
IBM Code Patterns related to Watson Data Platform
If you’re unfamiliar with IBM Code Patterns, they are reproducible examples that are hosted on Github and free to use (they often work on IBM Cloud’s free-tier too!). They contain detailed documentation on how to deploy and run the application, and a video to explain things. Below are the patterns we released in 2017 that relate to Watson Data Platform.
- Analyze traffic data from the city of San Francisco
- Analyze Tweets with Jupyter Notebooks
- Analyze Starcraft II replays with Jupyter Notebooks
- Discover hidden Facebook usage insights
If you’re interested in reading more about IBM Code Patterns check out my other blogs about Watson Discovery, Watson Visual Recognition, Watson Conversation, and PowerAI.
Hope you enjoyed reading, happy hacking!