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Apache: Big Data 2016

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Andrew Razumovskiy

Veeam Software
BigData Team Lead
Russian Federation

BigData technologies, Apache Spark, Apache Hadoop, Cassandra, Genetic Algorithm, Data storage optimization, Salesforce

5:00pm PDT

Registration Georgia Foyer

7:30am PDT

Breakfast Regency Foyer

8:00am PDT

Technology Showcase Regency Foyer

9:05am PDT

Keynote: How Netflix Leverages Big Data - Brian Sullivan, Director of Streaming Analytics, Netflix Regency CD

10:40am PDT

Building Distributed Systems Using Apache Helix - Aditya Auradkar, LinkedIn Regency A The Evolution of Apache Kylin: Realtime and Plugin Architecture in Kylin2 - Luke Han, Apache Kylin Regency E Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks Plaza A

11:40am PDT

Using the SDACK Architecture to Build a Big Data Product - Yu-Hsin Yeh, Trend Micro Plaza B Recent Development in HBase - Zhihong Yu, Hortonworks Regency B

12:30pm PDT

Lunch (Attendees on Own) TBA

2:00pm PDT

SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG Georgia A Convergence Rank and It’s Applications - Dalmo Cirne, mParticle, Inc. Plaza B Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn Plaza A

3:00pm PDT

Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix Georgia B Generating Many Resources from One Set of Schemas with Apache Streams - Steve Blackmon, People Pattern Plaza A

3:50pm PDT

Coffee Break Regency Foyer

4:10pm PDT

YARN: A Resource Manager for Analytic Platform - Tsuyoshi Ozawa, NTT Regency A On the Bleeding Edge - Cassandra 3.4 and Beyond - Jonathan Haddad, Datastax Regency B

5:10pm PDT

The New Time Series Kid on the Block - Florian Lautenschlager, QAware GmbH Regency E

9:00am PDT

Wikimedia Content API: A Cassandra Use-case - Eric Evans, Wikimedia Foundation Plaza B Cancer Outlier Profile Analysis Using Spark - Mahmoud Parsian, Illumina, Inc. Georgia B Random Forest Clustering with Apache Spark - Erik Erlandson, Red Hat, Inc. Plaza C SQL on Hadoop/Big Data - Architecture, Technology and Roadmap - Sumit Pal, Big Data Consultant Georgia A

10:00am PDT

Kafka at Peak Performance - Todd Palino, Linkedin Regency A

11:20am PDT

Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent Regency A Cassandra Multi-datacenter Operations Essentials - Julien Anguenot, iland Internet Solutions, Corp Plaza B Spark Cyborgs - Deep Integration of Spark with Parallel Relational Engines - Torsten Steinbach & Gustavo Arocena, IBM Plaza C

2:00pm PDT

Building a Self-serve Kafka Ecosystem - Joel Koshy, LinkedIn Regency A Zipkin & Apache Cassandra: A Big Data Tracing Case Study - Mick Semb Wever, The Last Pickle Plaza B Using Apache Big Data Stack to Analyse Storm-Scale Numerical Weather Prediction Data - Suresh Marru, Indiana University Georgia B On the Fly Retraining of Predictive Analytical Models Using Spark Streaming: An Equity-price Direction Prediction Case Study - Tijl Carpels, Ghent University Plaza C Hive on ACID - Alan Gates, Hortonworks Georgia A

3:00pm PDT

Hadoop Object Store - Ozone - Anu Engineer & Arpit Agarwal, Hortonworks Regency B Apache Flume or Apache Kafka? How About Both? - Jayesh Thakrar, Conversant Regency A Real Time BOM Explosions with Apache Solr and Spark - Andreas Zitzelsberger, QAware GmbH Plaza C Using Kafka and Kudu for Fast, Low-latency SQL Analytics on Streaming Data - Mike Percy & Ashish Singh, Cloudera Georgia A

4:15pm PDT

Keynote: ODPi 101: Who We Are, What We Do and Don't Do - Alan Gates, Co-founder, Hortonworks Regency CD

4:30pm PDT

Keynote: More Fun, Less Friction: How Open Source Operations Will Take Big Data to the Next Level - Mark Shuttleworth, Founder, Canonical Regency CD

4:45pm PDT

Keynote: A Look Ahead at Spark 2.0 - Ion Stoica, Co-founder & Executive Chairman, Databricks Regency CD

5:10pm PDT

Lightning Talks aka Big Data Shark Tank Regency CD

6:00pm PDT

Vancouver Spark Meetup Georgia B

9:00am PDT

Keynote: Apache Hadoop at 10 - Doug Cutting, Chief Architect, Cloudera Regency CD

9:25am PDT

Keynote: Role of Apache in Transforming eBay’s Data Platform - Seshu Adunuthula, Sr. Director of Analytics Infrastructure, eBay Regency CD

9:50am PDT

Keynote: Making Data Accessible - Ashish Thusoo, Co-founder & CEO, Qubole Regency CD

10:15am PDT

Keynote: ODPi and ASF: Building a Stronger Hadoop Ecosystem - John Mertic, Director of Program Management, ODPi Regency CD

10:50am PDT

Spark After Dark 2.0: Complete End-to-End, Real-time Advanced Analytics, Big Data Reference Pipeline Including Machine Learning, Graph Processing, and Text/NLP Analytics, and Streaming Approximations Using Kafka... Plaza C

11:50am PDT

Geospatial Querying in Apache Marmotta - Sergio Fernandez, Redlink GmbH Plaza A Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM Plaza C

2:00pm PDT

Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc. Georgia A Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain Plaza C

3:00pm PDT

Real-world Analytics with Solr Cloud and Spark - Johannes Weigend, QAware GmbH Georgia A Scylla: A Revolutionary Design for NoSQL Performs at 1.8M TPS/node - Don Marti & Tzach Livyatan, ScyllaDB Plaza B Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH Plaza C

4:10pm PDT

Distributed Machine Learning with Apache Mahout - Suneel Marthi, Red Hat Georgia A Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc Plaza B