Stream Processing Systems

We're implementing new policies for registration in 2016. Most of our events will continue to be free and open to the public. All registrations should have full names, email addresses, and company affiliation else they will be rejected. No shows will be automatically waitlisted for subsequent events and will not be invited for private events.

Please be considerate to other data bees and change your RSVPs if you can't attend.

IDS REQUIRED AT THE FRONT DESK OF HPE FOR ENTRY

In this panel discussion we will be discussing messaging platforms, stream processing systems and accompanying data stores. We’ll also discuss dimensions/features used to evaluate the many technology options available based on scalability, latency, fault-tolerance/reliability/HA, ease and simplicity of deployment, maturity and popularity, enterprise features, security (authentication, authorization, and encryption), handling applications than span multiple data centers, global replication, disaster recovery, etc. We’ll discuss the road ahead and what capabilities we expect to see in 2016.

We’ll cover use cases of interesting applications that are made possible by technologies and applications enabled by advanced analytics.

Meet the Speakers:

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Ben Lorica (https://www.linkedin.com/in/benlorica), Chief Data Scientist, O'Reilly Media - Moderator

Ben Lorica is the Chief Data Scientist at O'Reilly Media, Inc. and Program Director of Strata+Hadoop World. He has applied Business Intelligence, Data Mining, Machine Learning and Statistical Analysis in a variety of settings including Direct Marketing, Consumer and Market Research, Targeted Advertising, Text Mining, and Financial Engineering. His background includes stints with an investment management company, internet startups, and financial services.

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Karthik Ramasamy (https://www.linkedin.com/profile/view?id=AAkAAAAIucQBaW08b3fwF9WhA4EG58i2yn031II&authType=NAME_SEARCH&authToken=5U2U&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CentityType%3AentityHistoryName%2CclickedEntityId%3Amynetwork_571844%2Cidx%3A0), Engineering Manager, Twitter and Apache Heron

Karthik is the engineering manager and technical lead for Real Time Analytics at Twitter. He has two decades of experience working in parallel databases, big data infrastructure and networking. He cofounded Locomatix, a company that specializes in real timestreaming processing on Hadoop and Cassandra using SQL that was acquired by Twitter. Before Locomatix, he had a brief stint with Greenplum where he worked on parallel query scheduling. Greenplum was eventually acquired by EMC for more than $300M. Prior to Greenplum, Karthikwas at Juniper Networks where he designed and delivered platforms, protocols, databases and high availability solutions for network routers that are widely deployed in the Internet. Before joining Juniper at University of Wisconsin, he worked extensively in parallel database systems, query processing, scale out technologies, storage engine and online analytical systems. Several of these research were spun as a company later acquired by Teradata. He is the author of several publications, patents and one of the best selling book "Network Routing: Algorithms, Protocols and Architectures." He has a Ph.D. in Computer Science from UW Madison with a focus on big data.

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M. C. Srivas (https://www.linkedin.com/in/msrivas), CTO/co-founder, MapR

Srivas ran one of the major search infrastructure teams at Google where GFS, BigTable and MapReduce were used extensively. He wanted to provide that powerful capability to everyone, and started MapR on his vision to build the next-generation platform for semi-structured big data. His strategy was to evolve Hadoop and bring simplicity of use, extreme speed and complete reliability to Hadoop users everywhere, and make it seamlessly easy for enterprises to use this powerful new way to get deep insights. That vision is shared by all at MapR. Srivas brings to MapR his experiences at Google, Spinnaker Networks, Transarc in building game-changing products that advance the state of the art.

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Nikita Shamgunov (https://www.linkedin.com/in/nikitashamgunov), CTO/co-founder, MemSQL

Nikita Shamgunov co-founded MemSQL and has served as CTO since inception. Prior to co-founding the company, Nikita worked on core infrastructure systems at Facebook. He served as a senior database engineer at Microsoft SQL Server for more than half a decade. Nikita holds a bachelor’s, master’s and doctorate in computer science, has been awarded several patents and was a world medalist in ACM programming contests.

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Ram Sriharsha (https://www.linkedin.com/in/harsha340), Architect for Spark and Data Science, Hortonworks

Ram Sriharsha is the Architect for Spark and Data Science at Hortonworks. Prior to Hortonworks, Ram was Principal Research Scientist at Yahoo Research, where he worked on large scale machine learning algorithms and systems related to login risk detection, sponsored search advertising and advertising effectiveness measurement.​​ Ram is an Apache Spark Committer and PMC Member.

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Jay Kreps (https://www.linkedin.com/in/jaykreps), CEO/Co-founder, Confluent

Kreps is CEO at Confluent a company built around realtime data streams and the open source messaging system Apache Kafka. He is the original author of several of open source projects including Apache Kafka, Apache Samza, Voldemort, and Azkaban.

Introduction by:

Walter Maguire, Chief Field Technologist, Hewlett Packard Enterprise

Agenda:

6:00 - 6:30 - Registration and Networking
6:30 - 6:45 - Introduction by The Hive
6:45 - 7:00 - Panelists' Introduction
7:00 - 8:00 - Panel Discussion
8:00 - 8:20 - Q&A