AGENDA

GRID | LIST VIEW

Day 1 » April 11, 2016
8:30 - 17:00
Pre-Event Training
Day 2 » April 12, 2016
8:30 - 17:00
Pre-Event Training
13:00 - 18:00
Registration Desk Open
18:00 - 20:00
Meetups
Day 3 » April 13, 2016
Tracks:
Apache Committer Insights
Data Science Applications for Hadoop
Hadoop Governance, Security, Deployment and Operations
Hadoop Application Development: Dev Languages, Scripting, SQL and NoSQL
Applications of Hadoop and the Data-Driven Business
The Future of Apache Hadoop
Hadoop and the Internet of Things
Sponsor
RoomsLiffey BLiffey ALiffey Hall 2Liffey Hall 1Wicklow Hall 1Wicklow Hall 2AWicklow Hall 2BEcocem
7:30 - 19:30
Registration Desk Open
8:00 - 9:00
Breakfast on Foyer Level 3 & 4
9:00 - 11:00
Keynote Opening Session in Auditorium
11:00 - 11:30
Morning Tea in the Community ShowcaseHadoop Crash Course
(11:00 - 13:30)
11:30 - 12:10
Apache Hadoop YARN: Past, Present and Future
Varun Vasudev, Hortonworks
Running Spark in Production
Vinay Shukla, Hortonworks
Saisai Shao, Hortonworks
Is Your Enterprise Data Lake Metadata-Driven AND Secure?
Madhan Neethiraj, Hortonworks
Batch is Back: Critical for Agile Application Adoption
Robby Dick, BMC Software
How To: A Beginners Guide to Becoming an Apache Contributor
Venkatesh Sellappa, Teradata UK Limited
It's Not the Size of Your Cluster, It's How You Use It
David Darden, Big Fish Games
Don Smith, Big Fish Games
Taming the Elephant: Efficient and Effective Apache Hadoop Management
Paul Codding, Hortonworks
12:20 - 13:00
Scale out Resource Management at Microsoft Using Apache YARN
Raghu Ramakrishnan, Microsoft Corporation
Using a Data Lake at the Core of a Life Assurance Business: Solutions for Data in one Place and Putting the Customer First
Raj Mukherjee, Zurich Insurance
Chris Murphy, Zurich Life Insurance , UK
Unified Stream & Batch Processing with Apache Flink
Ufuk Celebi, data Artisans GmbH
Tame That Beast: How to Bring Operations, Governance and Reliability to Hadoop
Stefan Radtke, EMC
Real-time Search on Terabytes of Data Per Day: Lessons Learned
Joey Echeverria, Rocana
Michael Peterson, Rocana
Apache NiFi in the Hadoop Ecosystem
Bryan Bende, Hortonworks
Querying the Internet of Things: Streaming SQL on Kafka/Samza and Storm/Trident
Julian Hyde, Hortonworks
13:00 - 14:10
Lunch in the Community Showcase
14:10 - 14:50
HDFS: Optimization, Stabilization and Supportability
Chris Nauroth, Hortonworks
Empower Data-Driven Organizations with HPE and Hadoop
Gilles Noisette, Hewlett Packard Enterprise
Ingest and Stream Processing - What Will You Choose?
Pat Patterson, StreamSets
Ted Malaska, Cloudera Inc
Advanced Execution Visualization of Spark Jobs
Marton Balassi, Hungarian Academy of Sciences
Zoltán Zvara, Hungarian Academy of Sciences
Powering a Virtual Power Station with Big Data
Michael Bironneau, Open Energi
Implementing the Business Catalog in the Modern Enterprise: Bridging Traditional EDW and Hadoop
Andrew Ahn, Hortonworks
15:00 - 15:40
Rocking the World of Big Data at Centrica
Reuben Banga, Centrica
On-Demand HDP Clusters using Cloudbreak and Ambari
Karthik Karuppaiya, Symantec
Narendra Bidari, Symantec
The Future of Apache Storm
P. Taylor Goetz, Hortonworks
HBase and Spark: Leveraging your Non-Relational Datastore in Batch and Streaming Applications
Ted Malaska, Cloudera Inc
Jonathan Hsieh, Cloudera
Exploring Titan and Spark GraphX for Analyzing Time-Varying Electrical Networks
Guillaume Germaine, EDF R&D
Thomas Vial, Octo Technology
No Time to Waste: From Data Warehousing to Modern Data Architecture in 4 Easy Sprints
Hessel Miedema, Capgemini
Andrea Capodicasa, Capgemini
The Heterogeneous Data Lake: Analytics in the World of Specialized Datastores
Tomer Shiran, Dremio
Spark Crash Course
(15:00 - 18:00)
15:40 - 16:10
Afternoon Tea in the Community Showcase
16:10 - 16:50
The Past, Present, and Future of Hadoop at LinkedIn
Carl Steinbach, LinkedIn
Fast Distributed Online Classification and Clustering
Prasad Chalasani, Media Math
Real-World NoSQL Schema Design
Tugdual Grall, MapR Technologies
Large-Scale Stream Processing in the Hadoop Ecosystem
Gyula Fora, King
Marton Balassi, Hungarian Academy of Sciences
Machine Learning in Big Data – Look Forward or Be Left Behind
Bill Porto, RedPoint Global Inc.
Apache Atlas: Tracking Dataset Lineage Across Hadoop Components
Andrew Ahn, Hortonworks
Hadoop and Friends as Key Enabler of the IoE – Continental’s Dynamic eHorizon
Dr. Thomas Beer, Continental Automotive
17:00 - 17:40
TensorFlow: Large-Scale Deep Learning For Intelligent Computer Systems
Ram Ramanathan, Google
Hive on ACID
Alan Gates, Hortonworks
Outlier Analysis and Anomaly Detection for Sensors with Spark and Storm
Casey Stella, Hortonworks
Hadoop in the Cloud: Real World Lessons from Enterprise Customers
Rashim Gupta, Microsoft Corp.
Accelerating Apache Hadoop through High-Performance Networking and I/O Technologies
Dhabaleswar K (DK) Panda, The Ohio State University
Connecting Everything
Patrick de Vries, KPN
Cooperative Data Exploration with IPython Notebook
Piotr Lusakowski, deepsense.io
17:50 - 18:30
Migrating Hundreds of Pipelines in Docker Containers
Noa Resare, Spotify
The Hadoop Deployment Strategy at Renault Group
Kamélia Benchekroun, Renault
Overview of Apache Flink: the 4G of Big Data Analytics Frameworks
Slim Baltagi, Capital One Financial Corporation
Securing Spark on Production Hadoop Clusters
Marcelo Vanzin, Cloudera
The Key to Unlocking the Value in the Internet of Things? Managing the Data!
Ron Bodkin, ThinkBig, a Teradata company
HBase on Steroids with In-Memory Compaction
Eshcar Hillel, Yahoo!
18:30 - 19:30
Community Showcase Reception
19:30 - 23:00
Hadoop Summit Party at Guinness Storehouse
Day 4 » April 14, 2016
Tracks:
Apache Committer Insights
Data Science Applications for Hadoop
Hadoop Governance, Security, Deployment and Operations
Hadoop Application Development: Dev Languages, Scripting, SQL and NoSQL
Applications of Hadoop and the Data-Driven Business
The Future of Apache Hadoop
Hadoop and the Internet of Things
Sponsor
RoomsLiffey BLiffey ALiffey Hall 2Liffey Hall 1Wicklow Hall 1Wicklow Hall 2AWicklow Hall 2BEcocem
5:00 - 8:00
Bike Ride
7:30 - 18:00
Registration Desk Open
8:00 - 9:00
Breakfast on Foyer Level 3 & 4
9:00 - 11:00
Keynote Opening Session in Auditorium
11:00 - 11:30
Morning Tea in the Community ShowcaseHadoop Crash Course
(11:00 - 13:30)
11:30 - 12:10
Scaling out to 10 Clusters, 1000 Users, and 10,000 Flows: The Dali Experience at LinkedIn
Carl Steinbach, LinkedIn
MLLeap: Or How to Productionize Data Science Workflows using Spark
Mikhail Semeniuk, Shift Technologies
Hollin Wilkins, Truecar
Bringing HBase Data Efficiently into Spark with DataFrame Support
Zhan Zhang, Hortonworks
Protecting Enterprise Data In Hadoop
Owen O'Malley, Hortonworks
Hadoop Helps Deliver High Quality, Low Cost Healthcare Services
Ranadip Chatterjee, Healtrix Ltd
Evolving HDFS to a Generalized Distributed Storage Subsystem
Sanjay Radia, Hortonworks
Securing Hadoop in an Enterprise Context
Hellmar Becker, ING
12:20 - 13:00
Tailored for Spark
John Scheibmeir, eBay
Petr Igrevski, eBay
Apache Hadoop YARN and the Docker Container Runtime
Sidharta Seethana, Hortonworks
Hadoop Platform at Yahoo: A Year in Review
Sumeet Singh, Yahoo!, Inc.
Deep Recurrent Neural Networks for Sequence Learning in Spark
Yves Mabiala, Thales
Telstra's Tale of Hadoop in the Enterprise
Chris Ottinger, Telstra
Production Grade Data Science for Hadoop
Villu Ruusmann, Openscoring OÜ
Why Big Data Management Requires Hierarchical Taxonomies
Andrew Ahn, Hortonworks
13:00 - 14:10
Lunch in the Community Showcase
14:10 - 14:50
Apache Hive 2.0 SQL Speed Scale
Alan Gates, Hortonworks
Telematics with Hadoop and Nifi
Adam Morton, Admiral Insurance
Simon Elliston Ball, Hortonworks
Apache Zeppelin, Helium and Beyond
Moon soo Lee, NFLabs
Smart Data for a Predictive Bank
Bart Buter, ING
Alex Buijsman, ING Bank
Planning with Polyalgebra: Bringing Together Relational, Complex and Machine Learning Algebra
Julian Hyde, Hortonworks
Organising The Data Lake – Information Governance In A Big Data World
Internet of Things Crash Course
(14:30 - 17:30)
15:00 - 15:40
Big Data Application Architectures - IoT
Nishant Thacker, Microsoft
Hadoop and Other Animals
Matthew Aslett, 451 Research
Apache Eagle - Monitor Hadoop in Real-time
Yong Zhang, eBay
Arun Manoharan, eBay
Zeppelin + Livy: Bringing Multi Tenancy to Interactive Data Analysis
Prabhjyot Singh, Hortonworks
Jianfeng Zhang, Hortonworks
Practical Advice to Build a Data Driven Company
Simon Maby, Octo Technology
Using Natural Language Processing on Non-Textual Data with MLLib
Casey Stella, Hortonworks
Hadoop Everywhere: Geo-Distributed Storage for Big Data
Nikhil Joshi, EMC
Vishrut Shah, EMC
15:40 - 16:10
Afternoon Tea on Foyer Level 1 & 2
16:10 - 16:50
Log, I am Your Father. The Role of Machine Data in the IoT
James Hodge, Splunk
The Evolution of Apache Kylin: Realtime and Plugin Architecture in Kylin2
Yang Li, Kyligence Inc.
Apache Phoenix and HBase: Past, Present and Future of SQL over HBase
Enis Soztutar, Hortonworks
Surviving The Hadoop Revolution
Scott Gray, IBM
Adriana Zubiri, IBM
How Do You Decide Where Your Customer Was?
Burak Isikli, Turkcell
17:00 - 17:40
LLAP: Sub-Second Analytical Queries in Hive
Sergey Shelukhin, Hortonworks
Benefits of Hadoop as Platform as a Service
Aaron Call, Barcelona Supercomputing Center
Working with the Type Safe Scalding API
Justin Coffey, Criteo
Sofian Djamaa, Criteo
Detecting Persistent Threats Using Sequence Statistics
Ted Dunning, MapR Technologies
17:50 - 19:00
Birds of a Feather Sessions

FILTER:
Full Schedule
Apache Committer Insights
Data Science Applications for Hadoop
Hadoop Governance, Security, Deployment and Operations
Hadoop Application Development: Dev Languages, Scripting, SQL and NoSQL
Applications of Hadoop and the Data-Driven Business
The Future of Apache Hadoop
Hadoop and the Internet of Things
Sponsor


Day 1 » April 11, 2016
8:30 - 17:00
Day 2 » April 12, 2016
8:30 - 17:00
13:00 - 18:00
Registration Desk Open
18:00 - 20:00
Meetups
Day 3 » April 13, 2016
7:30 - 19:30
Registration Desk Open
8:00 - 9:00
Breakfast on Foyer Level 3 & 4
11:00 - 13:30
Hadoop Crash Course
11:00 - 11:30
Morning Tea in the Community Showcase
11:30 - 12:10
Apache Hadoop YARN: Past, Present and Future
Varun Vasudev, Hortonworks
Room: Liffey B
Running Spark in Production
Vinay Shukla, Hortonworks
Saisai Shao, Hortonworks
Room: Liffey A
Is Your Enterprise Data Lake Metadata-Driven AND Secure?
Madhan Neethiraj, Hortonworks
Room: Liffey Hall 2
Batch is Back: Critical for Agile Application Adoption
Robby Dick, BMC Software
Room: Liffey Hall 1
How To: A Beginners Guide to Becoming an Apache Contributor
Venkatesh Sellappa, Teradata UK Limited
Room: Wicklow Hall 1
It's Not the Size of Your Cluster, It's How You Use It
David Darden, Big Fish Games
Don Smith, Big Fish Games
Room: Wicklow Hall 2A
Taming the Elephant: Efficient and Effective Apache Hadoop Management
Paul Codding, Hortonworks
Room: Wicklow Hall 2B
12:20 - 13:00
Scale out Resource Management at Microsoft Using Apache YARN
Raghu Ramakrishnan, Microsoft Corporation
Room: Liffey B
Using a Data Lake at the Core of a Life Assurance Business: Solutions for Data in one Place and Putting the Customer First
Raj Mukherjee, Zurich Insurance
Chris Murphy, Zurich Life Insurance , UK
Room: Liffey A
Unified Stream & Batch Processing with Apache Flink
Ufuk Celebi, data Artisans GmbH
Room: Liffey Hall 2
Tame That Beast: How to Bring Operations, Governance and Reliability to Hadoop
Stefan Radtke, EMC
Room: Liffey Hall 1
Real-time Search on Terabytes of Data Per Day: Lessons Learned
Joey Echeverria, Rocana
Michael Peterson, Rocana
Room: Wicklow Hall 1
Apache NiFi in the Hadoop Ecosystem
Bryan Bende, Hortonworks
Room: Wicklow Hall 2A
Querying the Internet of Things: Streaming SQL on Kafka/Samza and Storm/Trident
Julian Hyde, Hortonworks
Room: Wicklow Hall 2B
13:00 - 14:10
Lunch in the Community Showcase
14:10 - 14:50
HDFS: Optimization, Stabilization and Supportability
Chris Nauroth, Hortonworks
Room: Liffey B
Empower Data-Driven Organizations with HPE and Hadoop
Gilles Noisette, Hewlett Packard Enterprise
Room: Liffey A
Ingest and Stream Processing - What Will You Choose?
Pat Patterson, StreamSets
Ted Malaska, Cloudera Inc
Room: Liffey Hall 2
Advanced Execution Visualization of Spark Jobs
Marton Balassi, Hungarian Academy of Sciences
Zoltán Zvara, Hungarian Academy of Sciences
Room: Liffey Hall 1
Powering a Virtual Power Station with Big Data
Michael Bironneau, Open Energi
Room: Wicklow Hall 1
Implementing the Business Catalog in the Modern Enterprise: Bridging Traditional EDW and Hadoop
Andrew Ahn, Hortonworks
Room: Wicklow Hall 2B
15:00 - 18:00
Spark Crash Course
15:00 - 15:40
Rocking the World of Big Data at Centrica
Reuben Banga, Centrica
Room: Liffey B
On-Demand HDP Clusters using Cloudbreak and Ambari
Karthik Karuppaiya, Symantec
Narendra Bidari, Symantec
Room: Liffey A
The Future of Apache Storm
P. Taylor Goetz, Hortonworks
Room: Liffey Hall 2
HBase and Spark: Leveraging your Non-Relational Datastore in Batch and Streaming Applications
Ted Malaska, Cloudera Inc
Jonathan Hsieh, Cloudera
Room: Liffey Hall 1
Exploring Titan and Spark GraphX for Analyzing Time-Varying Electrical Networks
Guillaume Germaine, EDF R&D
Thomas Vial, Octo Technology
Room: Wicklow Hall 1
No Time to Waste: From Data Warehousing to Modern Data Architecture in 4 Easy Sprints
Hessel Miedema, Capgemini
Andrea Capodicasa, Capgemini
Room: Wicklow Hall 2A
The Heterogeneous Data Lake: Analytics in the World of Specialized Datastores
Tomer Shiran, Dremio
Room: Wicklow Hall 2B
15:40 - 16:10
Afternoon Tea in the Community Showcase
16:10 - 16:50
The Past, Present, and Future of Hadoop at LinkedIn
Carl Steinbach, LinkedIn
Room: Liffey B
Fast Distributed Online Classification and Clustering
Prasad Chalasani, Media Math
Room: Liffey A
Real-World NoSQL Schema Design
Tugdual Grall, MapR Technologies
Room: Liffey Hall 2
Large-Scale Stream Processing in the Hadoop Ecosystem
Gyula Fora, King
Marton Balassi, Hungarian Academy of Sciences
Room: Liffey Hall 1
Machine Learning in Big Data – Look Forward or Be Left Behind
Bill Porto, RedPoint Global Inc.
Room: Wicklow Hall 1
Apache Atlas: Tracking Dataset Lineage Across Hadoop Components
Andrew Ahn, Hortonworks
Room: Wicklow Hall 2A
Hadoop and Friends as Key Enabler of the IoE – Continental’s Dynamic eHorizon
Dr. Thomas Beer, Continental Automotive
Room: Wicklow Hall 2B
17:00 - 17:40
TensorFlow: Large-Scale Deep Learning For Intelligent Computer Systems
Ram Ramanathan, Google
Room: Liffey B
Hive on ACID
Alan Gates, Hortonworks
Room: Liffey A
Outlier Analysis and Anomaly Detection for Sensors with Spark and Storm
Casey Stella, Hortonworks
Room: Liffey Hall 2
Hadoop in the Cloud: Real World Lessons from Enterprise Customers
Rashim Gupta, Microsoft Corp.
Room: Liffey Hall 1
Accelerating Apache Hadoop through High-Performance Networking and I/O Technologies
Dhabaleswar K (DK) Panda, The Ohio State University
Room: Wicklow Hall 1
Connecting Everything
Patrick de Vries, KPN
Room: Wicklow Hall 2A
Cooperative Data Exploration with IPython Notebook
Piotr Lusakowski, deepsense.io
Room: Wicklow Hall 2B
17:50 - 18:30
Migrating Hundreds of Pipelines in Docker Containers
Noa Resare, Spotify
Room: Liffey B
The Hadoop Deployment Strategy at Renault Group
Kamélia Benchekroun, Renault
Room: Liffey A
Overview of Apache Flink: the 4G of Big Data Analytics Frameworks
Slim Baltagi, Capital One Financial Corporation
Room: Liffey Hall 2
Securing Spark on Production Hadoop Clusters
Marcelo Vanzin, Cloudera
Room: Liffey Hall 1
The Key to Unlocking the Value in the Internet of Things? Managing the Data!
Ron Bodkin, ThinkBig, a Teradata company
Room: Wicklow Hall 1
HBase on Steroids with In-Memory Compaction
Eshcar Hillel, Yahoo!
Room: Wicklow Hall 2A
18:30 - 19:30
Community Showcase Reception
19:30 - 23:00
Hadoop Summit Party at Guinness Storehouse
Day 4 » April 14, 2016
5:00 - 8:00
Bike Ride
7:30 - 18:00
Registration Desk Open
8:00 - 9:00
Breakfast on Foyer Level 3 & 4
11:00 - 13:30
Hadoop Crash Course
11:00 - 11:30
Morning Tea in the Community Showcase
11:30 - 12:10
Scaling out to 10 Clusters, 1000 Users, and 10,000 Flows: The Dali Experience at LinkedIn
Carl Steinbach, LinkedIn
Room: Liffey B
MLLeap: Or How to Productionize Data Science Workflows using Spark
Mikhail Semeniuk, Shift Technologies
Hollin Wilkins, Truecar
Room: Liffey A
Bringing HBase Data Efficiently into Spark with DataFrame Support
Zhan Zhang, Hortonworks
Room: Liffey Hall 2
Protecting Enterprise Data In Hadoop
Owen O'Malley, Hortonworks
Room: Liffey Hall 1
Hadoop Helps Deliver High Quality, Low Cost Healthcare Services
Ranadip Chatterjee, Healtrix Ltd
Room: Wicklow Hall 1
Evolving HDFS to a Generalized Distributed Storage Subsystem
Sanjay Radia, Hortonworks
Room: Wicklow Hall 2A
Securing Hadoop in an Enterprise Context
Hellmar Becker, ING
Room: Wicklow Hall 2B
12:20 - 13:00
Tailored for Spark
John Scheibmeir, eBay
Petr Igrevski, eBay
Room: Liffey B
Apache Hadoop YARN and the Docker Container Runtime
Sidharta Seethana, Hortonworks
Room: Liffey A
Hadoop Platform at Yahoo: A Year in Review
Sumeet Singh, Yahoo!, Inc.
Room: Liffey Hall 2
Deep Recurrent Neural Networks for Sequence Learning in Spark
Yves Mabiala, Thales
Room: Liffey Hall 1
Telstra's Tale of Hadoop in the Enterprise
Chris Ottinger, Telstra
Room: Wicklow Hall 1
Production Grade Data Science for Hadoop
Villu Ruusmann, Openscoring OÜ
Room: Wicklow Hall 2A
Why Big Data Management Requires Hierarchical Taxonomies
Andrew Ahn, Hortonworks
Room: Wicklow Hall 2B
13:00 - 14:10
Lunch in the Community Showcase
14:30 - 17:30
Internet of Things Crash Course
14:10 - 14:50
Apache Hive 2.0 SQL Speed Scale
Alan Gates, Hortonworks
Room: Liffey B
Telematics with Hadoop and Nifi
Adam Morton, Admiral Insurance
Simon Elliston Ball, Hortonworks
Room: Liffey A
Apache Zeppelin, Helium and Beyond
Moon soo Lee, NFLabs
Room: Liffey Hall 2
Smart Data for a Predictive Bank
Bart Buter, ING
Alex Buijsman, ING Bank
Room: Liffey Hall 1
Planning with Polyalgebra: Bringing Together Relational, Complex and Machine Learning Algebra
Julian Hyde, Hortonworks
Room: Wicklow Hall 1
Organising The Data Lake – Information Governance In A Big Data World
Room: Wicklow Hall 2B
15:00 - 15:40
Big Data Application Architectures - IoT
Nishant Thacker, Microsoft
Room: Liffey B
Hadoop and Other Animals
Matthew Aslett, 451 Research
Room: Liffey A
Apache Eagle - Monitor Hadoop in Real-time
Yong Zhang, eBay
Arun Manoharan, eBay
Room: Liffey Hall 2
Zeppelin + Livy: Bringing Multi Tenancy to Interactive Data Analysis
Prabhjyot Singh, Hortonworks
Jianfeng Zhang, Hortonworks
Room: Liffey Hall 1
Practical Advice to Build a Data Driven Company
Simon Maby, Octo Technology
Room: Wicklow Hall 1
Using Natural Language Processing on Non-Textual Data with MLLib
Casey Stella, Hortonworks
Room: Wicklow Hall 2A
Hadoop Everywhere: Geo-Distributed Storage for Big Data
Nikhil Joshi, EMC
Vishrut Shah, EMC
Room: Wicklow Hall 2B
15:40 - 16:10
Afternoon Tea on Foyer Level 1 & 2
16:10 - 16:50
Log, I am Your Father. The Role of Machine Data in the IoT
James Hodge, Splunk
Room: Liffey A
The Evolution of Apache Kylin: Realtime and Plugin Architecture in Kylin2
Yang Li, Kyligence Inc.
Room: Liffey Hall 2
Apache Phoenix and HBase: Past, Present and Future of SQL over HBase
Enis Soztutar, Hortonworks
Room: Liffey Hall 1
Surviving The Hadoop Revolution
Scott Gray, IBM
Adriana Zubiri, IBM
Room: Wicklow Hall 1
How Do You Decide Where Your Customer Was?
Burak Isikli, Turkcell
Room: Wicklow Hall 2A
17:00 - 17:40
LLAP: Sub-Second Analytical Queries in Hive
Sergey Shelukhin, Hortonworks
Room: Liffey A
Benefits of Hadoop as Platform as a Service
Aaron Call, Barcelona Supercomputing Center
Room: Liffey Hall 2
Working with the Type Safe Scalding API
Justin Coffey, Criteo
Sofian Djamaa, Criteo
Room: Liffey Hall 1
Detecting Persistent Threats Using Sequence Statistics
Ted Dunning, MapR Technologies
Room: Wicklow Hall 1
17:50 - 19:00
Birds of a Feather Sessions

Agenda is subject to change.

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