Storm and Real-time Web Services: Improving on the Lambda Architecture

At this event authors of the new book - "Storm Blueprints: Patterns for Distributed Real-time Computation" (http://goo.gl/kBrScR) Taylor Goetz and Brian O'Neill will talk about their experience with Storm.

Taylor will do a Q&A session around future developments of Storm at Apache/Hortonworks.

Brian will present "Storm and Real Time Web Service: Improving on the Lambda Architecture" where he will cover how his company, Health Market Science (http://www.healthmarketscience.com/):

• Applied Storm, Elasticsearch, Cassandra and Kafka to Master Data Management to deliver real-time data management and analytics as a service.

• Used storm-cassandra-cql, which is their new project that integrates Storm with Cassandra using the new native C* driver.

• Leveraged conditional updates to perform parallel distributed counting.

Agenda:

• 6:30 - meetup start, networking, book raffle

• 7:00 - Q&A with Taylor Goetz

• 7:20 - "Storm and Real Time Web Service: Improving on the Lambda Architecture" by Brian O'Neill

• 8:30 - open discussions, networking

About Speakers:

P. Taylor Goetz (http://www.linkedin.com/in/ptgoetz) is an Apache Storm committer and release manager and has been involved with the usage and development of Storm since it was first released as open source in October of 2011. As an active contributor to the Storm user community, Taylor leads a number of open source projects that enable enterprises to integrate Storm into heterogeneous infrastructure.

Presently, he works at Hortonworks where he leads the integration of Storm into Hortonworks Data Platform (HDP). Prior to joining Hortonworks, he worked at Health Market Science where he led the integration of Storm into HMS' next generation Master Data Management platform with technologies including Cassandra, Kafka, Elastic Search, and the Titan graph database.

Brian O'’Neill (https://www.linkedin.com/in/thebrianoneill), (@boneill42 (https://twitter.com/boneill42)) is a big data believer, innovator, and distributed computing dreamer.

He has been a technology leader for over 15 years and is recognized as an authority on big data. He has experience as an architect in a wide variety of settings, from start-ups to Fortune 500 companies. He believes in open source and contributes to numerous projects. He leads projects that extend Cassandra and integrate the database with indexing engines, distributed processing frameworks, and analytics engines. He won InfoWorld's Technology Leadership award in 2013. He authored the Dzone reference card on Cassandra (http://refcardz.dzone.com/refcardz/apache-cassandra) and was selected as a Datastax Cassandra MVP in 2012 and 2013.

In the past, he has contributed to expert groups within the Java Community Process (JCP) and has patents in artificial intelligence and context-based discovery. He is proud to hold a B.S. in Computer Science from Brown University.

Presently, Brian is CTO for Health Market Science (HMS), where he heads the development of their big data platform focused on data management and analysis for the healthcare space. The platform is powered by Storm and Cassandra and delivers real-time data management and analytics as a service.

About the book:

http://photos4.meetupstatic.com/photos/event/d/5/c/c/600_349494732.jpeg

Storm Blueprints: Patterns for Distributed Real-time Computation (http://goo.gl/kBrScR)covers a broad range of distributed computing topics, including not only design and integration patterns but also domains and applications to which the technology is immediately useful and commonly applied. This book introduces the reader to Storm using real-world examples, beginning with simple Storm topologies. The examples increase in complexity, introducing advanced Storm concepts as well as more sophisticated approaches to deployment and operational concerns.

The book benefits both beginner and advanced users, by describing broadly applicable distributed computing patterns grounded in real-world example applications. The book presents the core primitives in Storm and Trident alongside the crucial techniques required for successful deployment and operation.

Only for our group, Packt Publishing is offering 20% off discount on this book with following codes:

Book: SBPDB20

eBook: SBPDEB20

The discount is valid for next 30 days only.

As usual, we will have book raffle, so please bring your business cards.

Other News: Video from out last meetup "Storm at Spotify (http://www.hakkalabs.co/articles/storm-spotify-deployment-use-cases)"

Our Sponsor: Data Torrent (http://goo.gl/SJcvZE) - DataTorrent is the most powerful real-time computation platform.