What is TAP?
There is a gap between Big Data stored in Hadoop and applications that need to consume this data to deliver value. Trusted Analytics Platform (TAP) provides the connection between Big Data and applications with a Big Data Analytics platform that transforms data from stored potential to realized value.
TAP is open-source software, optimized for performance and security, that accelerates the creation of cloud-native applications driven by Big Data analytics. This integrated platform simplifies solution development and delivers value from data faster by providing a collaborative, flexible environment for advanced analytics in public and private clouds.
TAP provides the tools and services that system operators, data scientists and application developers can use to:
- Ingest data from multiple sources and in disparate formats
- Analyze data and design analytic models
- Make analytics easily consumable by applications
TAP for Data Scientists
Extensible tools, scalable algorithms and powerful engines to train and deploy predictive models
TAP for Developers
Consistent APIs, services and runtimes to quickly integrate these models into applications
TAP for System Operators
Integrated stack can be easily provisioned in a Cloud infrastructure
TAP Architecture at a Glance
Instead of starting from scratch and deploying a host of different tools, packages and services, TAP provides everything needed by data scientists and developers to create applications powered by Big Data Analytics. The extensible environment combines many open-source components into a single, integrated platform in which capabilities are exposed as easy-tointegrate tools and services rather than having to recreate existing features. This allows data scientists and developers to focus on their areas of expertise and value rather than getting mired in a complex integration project.
Pilot Deployments and Possibilities
A growing number of organizations are adopting TAP to accelerate their Big Data Analytics application development across a broad range of use cases.
Customer behavior analysis using wearable devices
Predict individual health problems to improve care
Asset management with RFID data
Predict equipment failures and optimization based on sensor data
Execute privacy-preserving analytics on diverse distributed data sheets
IoT Developer Platform
Enable Makers to develop data-generating IoT apps
Detect threats - IT, grid, machines, sites
Financial, inventory, supply chain, etc.
June 6 @ 6:30 pm - 8:00 pm
Welcoming our meetup group + all area data scientists and developers, especially those attending Spark Summit West. Join the TAP team for a brief demo, Q&A, drinks and food. More details and location to come.
For More Information
Interested in your organization using TAP or have general questions about the platform, contact us at email@example.com.
To get familiar with TAP documentation and code, visit http://trustedanalytics.github.io.
If you are using TAP and want to check on new feature activity, you can visit our public Jira here: https://trustedanalytics.atlassian.net/