Everything open source
May 16–17, 2016: Training & Tutorials
May 18–19, 2016: Conference
Austin, TX

Getting started with the Trusted Analytics Platform (TAP)

9:00am–5:00pm Tuesday, 05/17/2016
Sponsored
Location: Meeting Room 16A
Average rating: ****.
(4.00, 2 ratings)

Description

The open source Trusted Analytics Platform accelerates the creation of cloud-native applications driven by big data analytics. Optimized for performance and security, TAP makes it easier for developers and data scientists to collaborate by providing a shared, flexible environment for advanced analytics in public and private clouds.

Chuck Freedman and Venkatesh Bharadwaj lead a hands-on workshop that offers an overview and demonstration of TAP. You’ll use elements of popular open source projects including Spark, Hadoop, Cloud Foundry and others to work with data and deploy a simple visualization application in the cloud.

This workshop is sponsored by Intel and TAP.

Photo of Chuck Freedman

Chuck Freedman

Intel

Chuck Freedman is dedicated to driving platform success and adoption across all industries. An evangelist and inspirational force for a decade, he has engaged and enabled developers, designers, scientists, and engineers with a range of innovative technologies. Chuck applies his unique interest, vision, and experience with a genuine approach towards advocacy and evangelism. Over a 17-year technology career, he has led platform business strategy, marketing, and product development to help businesses drive innovation, partnerships, quality integration, and adoption. Chuck has authored books and articles that inspire use of platforms and engaged audiences at over 50 events and meetups around the world.

Photo of Venkatesh Bharadwaj

Venkatesh Bharadwaj

Intel

Venkatesh “Venky” Bharadwaj is a data scientist on Intel’s TAP team, where he develops cool solutions for life sciences, retail, and IoT domains. Previously, he worked on the Graph Analytics Operations team at Intel Labs, which aimed to develop graph-based machine-learning solutions for data scientists, and as a software engineer at one of the largest software consultancies in India. Venkatesh holds a master’s degree in computer science from Purdue University, with a research focus on applying text analytics to help translate science learning material to aural cues for visually impaired students, and a degree in computer engineering.