AGENDA

GRID | LIST VIEW

26th October, 2016
Business Tracks:
M
Modern Data Applications, IoT and Streaming
B
Business Adoption - Real World Case Studies
Technical Tracks:
A
Apache Committer Insights
D
Application Development, Analytics and Data Science
G
Governance, Security and Operations
S
Sponsor
RoomsYamato Higashi
& Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Katsura & Kasuga
(3rd Floor)
Yamato Nishi
(3rd Floor)
Asuka
(3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Nara
(3rd Floor)

Presentations will be in English

11:00AM - 7:00PM
Registration
11:30AM - 12:30PM
Lunch in the Community Showcase
1:00PM - 2:00PM
Opening Keynote Video | Video with Powerpoint
2:10PM - 2:50PM
G
Moving towards enterprise ready Hadoop clusters on the cloud
Hemanth Yamijala, Hortonworks
M
Real-time Analytics in Financial: Use Case, Architecture and Challenges
Yifeng Jiang, Hortonworks
D
Introduction to Hadoop and Spark (before joining the other talk) and An Overview of Hadoop in Japan
Kenichiro Hamano, NTT DATA
S
To The Cloud and Back: A Look At Hybrid Analytics
Keith Manthey, Dell EMC
3:00PM - 3:40PM
M
Path to 400M Members: LinkedIn’s Data Powered Journey
Xin Fu, LinkedIn
Carl Steinbach, Linkedin
S
A3RT - the details and actual use cases of "Analytics & Artificial intelligence API via Recruit technologies"
Nobuyuki Ishikawa, Recruit Technologies Co.,Ltd.
B
The real world use of Big Data to change business.
Kimihiko Kitase, Hortonworks
Hiroue Harada, Gruff, Inc.
D
Hivemall: Scalable machine learning library for Apache Hive/Spark/Pig
Makoto Yui, Treasure Data, Inc.
Takeshi Yamamuro, NTT
3:40PM - 4:10PM
Afternoon Tea in the Community Showcase
Apache Hadoop Crash Course
(3:30PM - 6:30PM)
4:10PM - 4:50PM
A
Hadoop 3.0 in a Nutshell
Junping Du, Hortonworks
Tsuyoshi Ozawa, NTT
B
Case study of online machine learning for display advertising in Yahoo! JAPAN
Takuya Nomura, Yahoo Japan Corporation
S
Case study of DevOps for Hadoop in Recruit.
Kensuke Soeda, Recruit Technologies Co.,Ltd.
G
Create a Hadoop cluster and migrate 39PB data plus 100000 jobs/day
Stuart Pook, Criteo
5:00PM - 5:40PM
G
Security and Data Governance using Apache Ranger and Apache Atlas
Madhan Neethiraj, Hortonworks Inc
D
Hadoop in the Cloud – The What, Why and How from the Experts
Naoki SATO, Microsoft Japan
S
The truth about SQL and Data Warehousing on Hadoop
Soh Kaijima, IBM
G
Apache Eagle - Monitor Hadoop in Real Time
Hao Chen, eBay Inc
5:50PM - 6:30PM
B
Using Hadoop to build a Data Quality Service for both real-time and batch data
Alex Lv, eBay Inc
Amber Vaidya, eBay Inc
S
Investment in Yahoo! JAPAN's dataplatform and business growth by big data
Tomohiro Sugiyama, Yahoo Japan Corporation
D
Comparison of Transactional Libraries for HBase
Toshihiro Suzuki, Hortonworks
A
Evolving HDFS to a Generalized Distributed Storage Subsystem
sanjay radia, Hortonworks
Jitendra Pandey, Hortonworks
6:30PM - 7:30PM
Sponsor Reception in the Community Showcase
27th October, 2016
Business Tracks:
M
Modern Data Applications, IoT and Streaming
B
Business Adoption - Real World Case Studies
Technical Tracks:
A
Apache Committer Insights
D
Application Development, Analytics and Data Science
G
Governance, Security and Operations
S
Sponsor
RoomsYamato Higashi
& Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Katsura & Kasuga
(3rd Floor)
Yamato Nishi
(3rd Floor)
Asuka
(3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Nara
(3rd Floor)

Presentations will be in English

9:00AM - 7:00PM
Registration
9:00AM - 10:00AM
Breakfast in Keynote Foyer
10:00AM - 11:00AM
Opening Keynote Video
11:10AM - 11:50AM
G
Protecting Enterprise Data In Apache Hadoop
Owen O`Malley, Hortonworks
S
Struggle against crossdomain data complexity in Recruit group
Haruka Matsuzaki, Recruit Technologies Co.,Ltd
G
A Container-based Sizing Framework for Apache Hadoop/Spark Clusters
Akiyoshi Sugiki, Hokkaido University
Phyo Thandar Thant, Hokkaido University
M
Apache NiFi 1.0 in Nutshell
Koji Kawamura, Hortonworks Japan Co., Ltd.
Arti Wadhwani, Hortonworks
Apache Spark Crash Course
(11:30AM - 2:30PM)
11:50AM - 12:20PM
Morning Tea in the Community Showcase
12:20PM - 1:00PM
A
Apache Hadoop YARN: Past, Present and Future
Junping Du, Hortonworks
Jian He, Hortonworks
S
Building Information Platform - Integration of Hadoop with SAP HANA and HANA VORA
Simon Vukojevic, VUPICO
Takuya Okamoto, VUPICO
B
SEGA : Growth hacking by Spark ML for Mobile games
Murakami Tadakazu, SEGA Games Co., Ltd.
G
Data infrastructure architecture for medium size organization: tips for collecting, storing and analysis.
Egor Pakhomov, AnchorFree
1:10PM - 1:50PM
D
Enabling Apache Zeppelin and Spark for Data Science in the Enterprise
Bikas Saha, Hortonworks
S
Combined analysis of Watson and Spark
Yuichi Tanaka, IBM
M
From a single droplet to a full bottle, our journey to Hadoop at Coca-Cola East Japan
Damien Contreras, Coca-Cola East Japan
G
How to overcome mysterious problems caused by large and multi-tenancy Hadoop cluster at Rakuten
Tomomichi Hirano, Rakuten
1:50PM - 3:00PM
Lunch in the Community Showcase
3:00PM - 3:40PM
B
Connected Truck: Predicting the future
Erik Spitzer, Daimler Trucks Asia
S
Case Study: OLAP usability on Spark and Hadoop
Miki Shingo, NEC
D
Network for the Large-scale Hadoop cluster at Yahoo! JAPAN
Kai Fukazawa, Yahoo Japan Corporation
G
Streamline Hadoop DevOps with Apache Ambari
Jayush Luniya, Hortonworks
Apache Nifi Crash Course
(3:00PM - 6:00PM)
3:50PM - 4:30PM
B
Near Real-Time Network Anomaly Detection and Traffic Analysis using Spark based Lambda Architecture
Debasish Das, Verizon
Pankaj Rastogi, Verizon
D
Business Innovation cases driven by AI and BigData technologies
Yoichi Kurachi, FUJITSU LIMITED
Haruyasu Ueda, FUJITSU LABORATORIES LTD.
S
Leveraging smart meter data for electric utilities: Comparison of Spark SQL with Hive
Yusuke Furuyama, Hitachi, Ltd.
Yang Xie, Hitachi, Ltd.
G
Why is my Hadoop cluster slow?
Bikas Saha, Hortonworks
4:30PM - 5:00PM
Afternoon Tea in the Community Showcase
5:00PM - 5:40PM
A
Apache Phoenix and HBase: Past, Present and Future of SQL over HBase
Enis Soztutar, Hortonworks
Ankit Singhal, Hortonworks
S
Real-World Machine Learning - Leverage the Features of MapR Converged Data Platform
Mathieu Dumoulin, MapR Technologies
Mateusz Dymczyk, H2O.ai
D
Generating Recommendations at Amazon Scale with Apache Spark and Amazon DSSTNE
Ryosuke Iwanaga, Amazon Web Services Japan
A
Major advancements in Apache Hive towards full support of SQL compliance
Pengcheng Xiong, Hortonworks, Inc
Ashutosh Chauhan, Hortonworks, Inc
5:50PM - 6:30PM
D
Data science lifecycle with Apache Zeppelin
Moon soo Lee, NFLabs
Jongyoul Lee, NFLabs
D
LLAP: Sub-Second Analytical Queries in Hive
Yuta Imai, Hortonworks
S
Use case and Live demo : Agile data integration from Legacy system to Hadoop and IoT.
Tetsuya Tomomatsu, Saison Information Systems
M
Rebuilding Web Tracking Infrastructure for Scale
Stephen Oakley, Marketo
6:40 - 7:30PM
BOF:
Apache Spark, Apache Zeppelin & Data Science
BOF:
Cloud & Operations
BOF:
Streaming & Data Flow
BOF:
Apache Hadoop

FILTER:
Full Schedule
Apache Committer Insights
Application Development, Analytics and Data Science
Governance, Security and Operations
Modern Data Applications, IoT and Streaming
Business Adoption - Real World Case Studies
Sponsor


26th October, 2016
11:00AM - 7:00PM
Registration
11:30AM - 12:30PM
Lunch in the Community Showcase
1:00PM - 2:00PM
Opening Keynote Video | Video with Powerpoint
2:10PM - 2:50PM
Moving towards enterprise ready Hadoop clusters on the cloud
Hemanth Yamijala, Hortonworks
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Real-time Analytics in Financial: Use Case, Architecture and Challenges
Yifeng Jiang, Hortonworks
Room: Katsura & Kasuga (3rd Floor)
Introduction to Hadoop and Spark (before joining the other talk) and An Overview of Hadoop in Japan
Kenichiro Hamano, NTT DATA
Room: Yamato Nishi (3rd Floor)
To The Cloud and Back: A Look At Hybrid Analytics
Keith Manthey, Dell EMC
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

3:00PM - 3:40PM
Path to 400M Members: LinkedIn’s Data Powered Journey
Xin Fu, LinkedIn
Carl Steinbach, Linkedin
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

A3RT - the details and actual use cases of "Analytics & Artificial intelligence API via Recruit technologies"
Nobuyuki Ishikawa, Recruit Technologies Co.,Ltd.
Room: Katsura & Kasuga (3rd Floor)
The real world use of Big Data to change business.
Kimihiko Kitase, Hortonworks
Hiroue Harada, Gruff, Inc.
Room: Yamato Nishi (3rd Floor)
Hivemall: Scalable machine learning library for Apache Hive/Spark/Pig
Makoto Yui, Treasure Data, Inc.
Takeshi Yamamuro, NTT
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

3:30PM - 6:30PM
Apache Hadoop Crash Course
3:40PM - 4:10PM
Afternoon Tea in the Community Showcase
4:10PM - 4:50PM
Hadoop 3.0 in a Nutshell
Junping Du, Hortonworks
Tsuyoshi Ozawa, NTT
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Case study of online machine learning for display advertising in Yahoo! JAPAN
Takuya Nomura, Yahoo Japan Corporation
Room: Katsura & Kasuga (3rd Floor)
Case study of DevOps for Hadoop in Recruit.
Kensuke Soeda, Recruit Technologies Co.,Ltd.
Room: Yamato Nishi (3rd Floor)
Create a Hadoop cluster and migrate 39PB data plus 100000 jobs/day
Stuart Pook, Criteo
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

5:00PM - 5:40PM
Security and Data Governance using Apache Ranger and Apache Atlas
Madhan Neethiraj, Hortonworks Inc
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Hadoop in the Cloud – The What, Why and How from the Experts
Naoki SATO, Microsoft Japan
Room: Katsura & Kasuga (3rd Floor)
The truth about SQL and Data Warehousing on Hadoop
Soh Kaijima, IBM
Room: Yamato Nishi (3rd Floor)
Apache Eagle - Monitor Hadoop in Real Time
Hao Chen, eBay Inc
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

5:50PM - 6:30PM
Using Hadoop to build a Data Quality Service for both real-time and batch data
Alex Lv, eBay Inc
Amber Vaidya, eBay Inc
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Investment in Yahoo! JAPAN's dataplatform and business growth by big data
Tomohiro Sugiyama, Yahoo Japan Corporation
Room: Katsura & Kasuga (3rd Floor)
Comparison of Transactional Libraries for HBase
Toshihiro Suzuki, Hortonworks
Room: Yamato Nishi (3rd Floor)
Evolving HDFS to a Generalized Distributed Storage Subsystem
sanjay radia, Hortonworks
Jitendra Pandey, Hortonworks
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

6:30PM - 7:30PM
Sponsor Reception in the Community Showcase
27th October, 2016
9:00AM - 7:00PM
Registration
9:00AM - 10:00AM
Breakfast in Keynote Foyer
10:00AM - 11:00AM
Opening Keynote Video
11:30AM - 2:30PM
Apache Spark Crash Course
11:10AM - 11:50AM
Protecting Enterprise Data In Apache Hadoop
Owen O`Malley, Hortonworks
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Struggle against crossdomain data complexity in Recruit group
Haruka Matsuzaki, Recruit Technologies Co.,Ltd
Room: Katsura & Kasuga (3rd Floor)
A Container-based Sizing Framework for Apache Hadoop/Spark Clusters
Akiyoshi Sugiki, Hokkaido University
Phyo Thandar Thant, Hokkaido University
Room: Yamato Nishi (3rd Floor)
Apache NiFi 1.0 in Nutshell
Koji Kawamura, Hortonworks Japan Co., Ltd.
Arti Wadhwani, Hortonworks
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

11:50AM - 12:20PM
Morning Tea in the Community Showcase
12:20PM - 1:00PM
Apache Hadoop YARN: Past, Present and Future
Junping Du, Hortonworks
Jian He, Hortonworks
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Building Information Platform - Integration of Hadoop with SAP HANA and HANA VORA
Simon Vukojevic, VUPICO
Takuya Okamoto, VUPICO
Room: Katsura & Kasuga (3rd Floor)
SEGA : Growth hacking by Spark ML for Mobile games
Murakami Tadakazu, SEGA Games Co., Ltd.
Room: Yamato Nishi (3rd Floor)
Data infrastructure architecture for medium size organization: tips for collecting, storing and analysis.
Egor Pakhomov, AnchorFree
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

1:10PM - 1:50PM
Enabling Apache Zeppelin and Spark for Data Science in the Enterprise
Bikas Saha, Hortonworks
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Combined analysis of Watson and Spark
Yuichi Tanaka, IBM
Room: Katsura & Kasuga (3rd Floor)
From a single droplet to a full bottle, our journey to Hadoop at Coca-Cola East Japan
Damien Contreras, Coca-Cola East Japan
Room: Yamato Nishi (3rd Floor)
How to overcome mysterious problems caused by large and multi-tenancy Hadoop cluster at Rakuten
Tomomichi Hirano, Rakuten
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

1:50PM - 3:00PM
Lunch in the Community Showcase
3:00PM - 6:00PM
Apache Nifi Crash Course
3:00PM - 3:40PM
Connected Truck: Predicting the future
Erik Spitzer, Daimler Trucks Asia
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Case Study: OLAP usability on Spark and Hadoop
Miki Shingo, NEC
Room: Katsura & Kasuga (3rd Floor)
Network for the Large-scale Hadoop cluster at Yahoo! JAPAN
Kai Fukazawa, Yahoo Japan Corporation
Room: Yamato Nishi (3rd Floor)
Streamline Hadoop DevOps with Apache Ambari
Jayush Luniya, Hortonworks
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

3:50PM - 4:30PM
Near Real-Time Network Anomaly Detection and Traffic Analysis using Spark based Lambda Architecture
Debasish Das, Verizon
Pankaj Rastogi, Verizon
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Business Innovation cases driven by AI and BigData technologies
Yoichi Kurachi, FUJITSU LIMITED
Haruyasu Ueda, FUJITSU LABORATORIES LTD.
Room: Katsura & Kasuga (3rd Floor)
Leveraging smart meter data for electric utilities: Comparison of Spark SQL with Hive
Yusuke Furuyama, Hitachi, Ltd.
Yang Xie, Hitachi, Ltd.
Room: Yamato Nishi (3rd Floor)
Why is my Hadoop cluster slow?
Bikas Saha, Hortonworks
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

4:30PM - 5:00PM
Afternoon Tea in the Community Showcase
5:00PM - 5:40PM
Apache Phoenix and HBase: Past, Present and Future of SQL over HBase
Enis Soztutar, Hortonworks
Ankit Singhal, Hortonworks
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

Real-World Machine Learning - Leverage the Features of MapR Converged Data Platform
Mathieu Dumoulin, MapR Technologies
Mateusz Dymczyk, H2O.ai
Room: Katsura & Kasuga (3rd Floor)
Generating Recommendations at Amazon Scale with Apache Spark and Amazon DSSTNE
Ryosuke Iwanaga, Amazon Web Services Japan
Room: Yamato Nishi (3rd Floor)
Major advancements in Apache Hive towards full support of SQL compliance
Pengcheng Xiong, Hortonworks, Inc
Ashutosh Chauhan, Hortonworks, Inc
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

5:50PM - 6:30PM
Data science lifecycle with Apache Zeppelin
Moon soo Lee, NFLabs
Jongyoul Lee, NFLabs
Room: Yamato Higashi & Minami (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

LLAP: Sub-Second Analytical Queries in Hive
Yuta Imai, Hortonworks
Room: Katsura & Kasuga (3rd Floor)
Use case and Live demo : Agile data integration from Legacy system to Hadoop and IoT.
Tetsuya Tomomatsu, Saison Information Systems
Room: Yamato Nishi (3rd Floor)
Rebuilding Web Tracking Infrastructure for Scale
Stephen Oakley, Marketo
Room: Asuka (3rd Floor)

Presentations will be in English. Simultaneous translation to Japanese is available

6:40 - 7:30PM
BOF: Apache Spark, Apache Zeppelin & Data Science
Room: Yamato Higashi & Minami
BOF: Cloud & Operations
Room: Katsura & Kasuga
BOF: Streaming & Data Flow
Room: Yamato Nishi
BOF: Apache Hadoop
Room: Asuka

Agenda is subject to change.