Sched.com Conference Mobile Apps
Apache: Big Data 2016 has ended
Create Your Own Event
Apache: Big Data 2016
Register Now
or
Visit the Website
for more Information
Schedule
Simple
Expanded
Grid
By Venue
Speakers
Search
or browse by date + venue
BarCampApache
All
Any
BoF
Faster-Better
All
Any
Beginner
Intermediate
Geospatial
All
Any
Beginner
Intermediate
HDFS-Storage
All
Advanced
Any
Intermediate
Interfacing with Big Data
All
Any
Intermediate
Kafka
All
Beginner
Intermediate
Keynote
Machine Learning
All
Intermediate
Managing Distributed Systems
All
Any
Intermediate
Math & Standards
All
Any
Beginner
Intermediate
Monitoring-Benchmarking
All
Any
Beginner
Intermediate
New Projects
All
Any
Beginner
Intermediate
NoSQL
All
Any
Intermediate
Operations-Use Cases
All
Advanced
Any
Beginner
Intermediate
Security
All
Advanced
Any
Intermediate
Spark
All
Any
Beginner
Intermediate
SQL Interaction
All
Any
Beginner
Intermediate
State-Future of $foo
All
Advanced
Any
Intermediate
Streams
All
Advanced
Beginner
Intermediate
Tutorial
All
Beginner
Intermediate
Popular
menu
Menu
Schedule
Speakers
Search
Popular Events
#1
Keynote: How Netflix Leverages Big Data - Brian Sullivan, Director of Streaming Analytics, Netflix
#2
Keynote: It Takes a Village: Making Data Projects Work - Amy Gaskins, Big Data Project Director
#3
Keynote: How Enterprises are Leveraging Open Source Analytics Platforms for Making Game Changing Decisions - Luciano Resende, Architect, Spark Technology Center, IBM
#4
Welcome & Opening Remarks - Rich Bowen, Executive Vice President, Apache Software Foundation
#5
Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix
#6
Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn
#7
Delivering Realtime and Agile Analytics Using Apache Kafka, Spark & Drill - Neeraja Rentachintala, MapR technologies
#8
Coffee Break
#9
SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG
#10
Lunch (Attendees on Own)
#11
Onsite Attendee Reception & Technology Showcase
#12
Migrating Hundreds of Hadoop Pipelines into Docker Containers - Noa Resare, Spotify
#13
Breakfast
#14
Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks
#15
Registration
#16
SAMOA: A Platform for Mining Big Data Streams - Nicolas Kourtellis, Telefonica
#17
Coffee Break
#18
Building a Durable Real-Time Data Pipeline: Apache BookKeeper at Twitter - Sijie Guo & Leigh Stewart, Twitter
#19
Happier Developers and Happier Software Through Distributed Testing - Andrew Wang, Cloudera
#20
Speaking the Language of Big Data - With Apache Avro and Apache Thrift - Ranganathan Balashanmugam, ThoughtWorks
#21
On the Bleeding Edge - Cassandra 3.4 and Beyond - Jonathan Haddad, Datastax
#22
Keynote: A Look Ahead at Spark 2.0 - Ion Stoica, Co-founder & Executive Chairman, Databricks
#23
Keynote: More Fun, Less Friction: How Open Source Operations Will Take Big Data to the Next Level - Mark Shuttleworth, Founder, Canonical
#24
Keynote: ODPi 101: Who We Are, What We Do and Don't Do - Alan Gates, Co-founder, Hortonworks
#25
Lightning Talks aka Big Data Shark Tank
#26
Breaking Spark: Top 5 Mistakes to Avoid When Using Apache Spark in Production - Neelesh Srinivas Salian, Cloudera
#27
Kafka at Peak Performance - Todd Palino, Linkedin
#28
Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent
#29
Building a Self-serve Kafka Ecosystem - Joel Koshy, LinkedIn
#30
Apache Kafka at Rocana - Alan Gardner, Rocana
#31
Apache Flume or Apache Kafka? How About Both? - Jayesh Thakrar, Conversant
#32
Using Kafka and Kudu for Fast, Low-latency SQL Analytics on Streaming Data - Mike Percy & Ashish Singh, Cloudera
#33
Coffee Break
#34
Get the Best Out of Hive and Spark - Xuefu Zhang, Uber
#35
Breakfast
#36
Clickstream Analysis with Apache Spark - Andreas Zitzelsberger, QAware GmbH
#37
A Java Implementer’s Guide to Boosting Apache Spark Performance - Tim Ellison, IBM
#38
Keynote: Apache Hadoop at 10 - Doug Cutting, Chief Architect, Cloudera
#39
Keynote: Role of Apache in Transforming eBay’s Data Platform - Seshu Adunuthula, Sr. Director of Analytics Infrastructure, eBay
#40
Keynote: Making Data Accessible - Ashish Thusoo, Co-founder & CEO, Qubole
#41
Keynote: ODPi and ASF: Building a Stronger Hadoop Ecosystem - John Mertic, Director of Program Management, ODPi
#42
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, Spark Streaming, Spark ML, Spark SQL - Chr
#43
Apache Zeppelin and It’s Pluggable Architecture for Your Data Science Environment - Moon Soo Lee, NFLabs
#44
Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM
#45
Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc.
#46
Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc
#47
Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH
#48
Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain
#49
Lunch
#50
Mining Public Datasets Using Apache Zeppelin (incubating) and Spark - Alexander Bezzubov, NFLabs
Popular by Type
All Types
BarCampApache
BoF
Faster-Better
Geospatial
HDFS-Storage
Interfacing with Big Data
Kafka
Keynote
Machine Learning
Managing Distributed Systems
Math & Standards
Monitoring-Benchmarking
New Projects
NoSQL
Operations-Use Cases
Security
Spark
SQL Interaction
State-Future of $foo
Streams
Tutorial
Popular by Day
All days
Sunday, May 8
Monday, May 9
Tuesday, May 10
Wednesday, May 11
Thursday, May 12