Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Alex Silva

Alex Silva
Principal Architect, Data Platform, Pluralsight

Alex Silva is a chief data architect at Pluralsight, where he leads the development of the company’s data infrastructure and services. He’s been instrumental in establishing Pluralsight’s data initiative by architecting a platform to capture valuable insights on real-time video analytics while integrating several data sources within the business. He’s built a reputation as a passionate and pragmatic data evangelist. Previously, Alex was a principal data engineer at Rackspace, leading a team of developers building its data initiative, while establishing its big data platform by helping architect a solution to drive actionable insight on consumer behavior and product-usage trends and designing analytical models, APIs, and frameworks to deliver fanatical support, including a computational linguistics library to analyze and classify support chat logs; a principle software engineer at ESPN Emerging Technologies, where he architected and developed a distributed application to help basketball operators collect play-by-play records; and several senior-level engineering positions at Walt Disney World Internet Group, Pentaho, OutStart, and Travelatro.com. He’s Sun Certified as an enterprise architect for the J2EE platform and is a web component developer and a Java 2 programmer. He earned his bachelor’s degree in molecular biology and an MBA from the University of Central Florida in Orlando. When Alex is not programming, you’ll probably catch him with an athletic bag on his shoulders. He’s a little bit of a sports junkie, particularly a CrossFit addict, who’s been known to create an epidemic of fitness recovery, smoking cessation, and weight loss around him.

Sessions

4:20pm–5:00pm Wednesday, 03/30/2016
Spark & Beyond

Location: 210 A/E
Tags: real-time
Alex Silva (Pluralsight)
Average rating: ***..
(3.94, 16 ratings)
Alex Silva outlines the implementation of a real-time analytics platform using microservices and a Scala stack that includes Kafka, Spark Streaming, Spray, and Akka. This infrastructure can process vast amounts of streaming data, ranging from video events to clickstreams and logs. The result is a powerful real-time data pipeline capable of flexible data ingestion and fast analysis. Read more.