Real-time Data Analytics with Apache Spark Streaming

Abstract:
With streaming data processing, computing is done in real time as data arrives rather than as an offline batch process. Real-time data analytics is becoming a critical component of the big-data strategy for
many organizations.

In this presentation, I'll discuss the Apache Spark Streaming and how it can be used for processing data in real time. We'll look at a sample application using technologies like Zookeeper and Kafka to see how Spark Streaming works.
Bio:
Instructor: Srini Penchikala
Srini Penchikala currently works as Senior IT Architect in Austin, Texas. He is also the Lead Editor of Data Science community at InfoQ (http://www.infoq.com/author/Srini-Penchikala). Srini has over 20 years of experience in software architecture, design & development and delivery. He is currently authoring a book on Big Data Processing with Apache Spark. He is also the co-author of the book "Spring Roo in Action" (http://www.manning.com/SpringRooinAction) from Manning Publications. Srini has presented at conferences like Enterprise Data World, JavaOne, and NoSQL Now! Conference.

Agenda:

6:30 Food + Networking
7:00 Presentation + QA

Location:
Visa:12301 Research Blvd, Bldg 3, Austin, TX 78759, United States · Austin, TX

RSVP:
• Seating is limited to the first 75 to RSVP.
• Please let me know if you have any questions about RSVP.