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AB

Atman Brahmachari

LinkedIn
SRE - Data
San Francisco Bay Area
Monday, May 9
 

7:30am PDT

Breakfast Regency Foyer Registration Georgia 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

9:30am PDT

Keynote: How Enterprises are Leveraging Open Source Analytics Platforms for Making Game Changing Decisions - Luciano Resende, Architect, Spark Technology Center, IBM Regency CD

10:10am PDT

Coffee Break Regency Foyer

10:40am PDT

Building Distributed Systems Using Apache Helix - Aditya Auradkar, LinkedIn Regency A Big Data DumbOps - Kevin Monroe, Canonical Georgia B Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks Plaza A

11:40am PDT

Migrating Hundreds of Hadoop Pipelines into Docker Containers - Noa Resare, Spotify Plaza C Building Large Scale Applications in Apache Hadoop YARN with Apache Twill - Henry Saputra & Terence Yim, Apache Software Foundation Georgia A Big Data in Biology - Omkar Reddy, Dirubhai Ambani University, India Georgia B

12:30pm PDT

Lunch (Attendees on Own) TBA

2:00pm PDT

Accelerating Cloud with FPGAs - Eric Fukuda, University of Tornoto Plaza C Apache HAWQ Resource Management and Integration with YARN - Yi Jin, Pivotal Regency A Data Science Applied: A Utilities Sector Case Study - Bram Steurtewagen Regency E Apache Bigtop: Overview and 2016 Community Update - Nate DAmico, Reactor 8 & Konstantin Boudnik, Memcore Regency B

3:00pm PDT

Druid: Interactive Exploratory Analytics at Scale - Fangjin Yang, Imply Georgia A Managing Enterprise Hadoop Clusters with Apache Ambari - Jayush Luniya, Hortonworks Regency A Big Data Analytics Using R and PySpark for Business, Finance and Marketing - Dirk Van den Poel, Ghent University Plaza B Introduction to Apache Kudu (Incubating) for Timeseries Storage - Dan Burkert, Cloudera Regency E 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

Delivering Realtime and Agile Analytics Using Apache Kafka, Spark & Drill - Neeraja Rentachintala, MapR technologies Plaza C Next Gen Big Data Analytics with Apache Apex - Thomas Weise, DataTorrent Georgia A Everyone Plays: Collaborative Data Science with Zeppelin - Trevor Grant, Market6 Regency E On the Bleeding Edge - Cassandra 3.4 and Beyond - Jonathan Haddad, Datastax Regency B

5:10pm PDT

Next-Gen Decision Making in Under 2ms - Ilya Ganelin, Capital One Data Innovation Lab Plaza B The New Time Series Kid on the Block - Florian Lautenschlager, QAware GmbH Regency E Building a Durable Real-Time Data Pipeline: Apache BookKeeper at Twitter - Sijie Guo & Leigh Stewart, Twitter Georgia B

6:00pm PDT

Onsite Attendee Reception & Technology Showcase Regency Foyer
 
Tuesday, May 10
 

7:30am PDT

Breakfast Regency Foyer

8:00am PDT

Technology Showcase Regency Foyer

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

10:00am PDT

Kafka at Peak Performance - Todd Palino, Linkedin Regency A Breaking Spark: Top 5 Mistakes to Avoid When Using Apache Spark in Production - Neelesh Srinivas Salian, Cloudera Georgia B Clickstream Analysis with Apache Spark - Andreas Zitzelsberger, QAware GmbH Plaza C

10:50am PDT

Coffee Break Regency Foyer

11:20am PDT

Applying Geospatial Analytics Using Apache Spark Running on Apache Mesos - Adam Mollenkopf, Esri Plaza A Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent Regency A A Java Implementer’s Guide to Boosting Apache Spark Performance - Tim Ellison, IBM Georgia B Get the Best Out of Hive and Spark - Xuefu Zhang, Uber Georgia A

12:10pm PDT

Lunch (Attendees on Own) TBA

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

3:00pm PDT

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

3:50pm PDT

Coffee Break Regency Foyer

5:10pm PDT

Lightning Talks aka Big Data Shark Tank Regency CD
 
Wednesday, May 11
 

7:30am PDT

Breakfast Regency Foyer

8:00am PDT

Technology Showcase Regency Foyer

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

10:15am PDT

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

10:25am PDT

Coffee Break Regency Foyer

10:50am PDT

Apache Yetus - Helping Solve the Last Mile Problem - Allen Wittenauer, Altiscale Regency A Tailored for Spark - Petr Igrevski, eBay Plaza B

11:50am PDT

Boost Spark ML Performance with Project Mnemonic - Yanping Wang & Gang Wang, Intel Corp. Georgia A

12:40pm PDT

Lunch Regency Foyer

2:00pm PDT

Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc. Georgia A HiBench - The Benchmark Suite for Hadoop, Spark and Streaming - Carson Wang, Intel Georgia B 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 Monitoring in a Distributed World - Felix Massem, codecentric AG Georgia B Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH Plaza C

3:50pm PDT

Coffee Break Regency Foyer

4:10pm PDT

Effective HBase Healthcheck and Troubleshooting - Jayesh Thakrar, Conversant Georgia B Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc Plaza B

5:10pm PDT

Less Is More: Doubling Storage Efficiency with HDFS Erasure Coding - Zhe Zhang, LinkedIn & Kai Zheng, Intel Georgia B Mining Public Datasets Using Apache Zeppelin (incubating) and Spark - Alexander Bezzubov, NFLabs Plaza C