Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

Schedule: Office Hours sessions

Office Hours gives you a chance to meet face-to-face in a small group setting with expert Strata + Hadoop World presenters. Discuss the speaker’s area of expertise, give feedback about their sessions, or ask questions.

Sign-up now by adding it to your personal schedule. Seating is limited.

Office Hours will take place in the Exhibit Hall.

    Thursday, 2 June

    11:15–11:55 Thursday, 2/06/2016
    Location: O'Reilly Booth (Table A)
    Tags: ai
    Stuart Russell (UC Berkeley)
    Want to debate (or just explore) the future of artificial intelligence? Stop by and talk with Stuart. It’s sure to be fascinating. Read more.
    11:15–11:55 Thursday, 2/06/2016
    Location: O'Reilly Booth (Table B)
    Stephen O'Sullivan (Data Whisperers)
    Stephen is happy to answer questions about how to create a data platform supporting batch and interactive and real-time analytical workloads as well as tool selection and how to integrate Hadoop components with legacy systems. Read more.
    12:05–12:45 Thursday, 2/06/2016
    Location: O'Reilly Booth (Table A)
    Simon Elliston Ball (Cloudera)
    If you have IoT, streaming, data-in-motion, machine-learning, or Spark topics you want to discuss, talk to Simon. Read more.
    12:05–12:45 Thursday, 2/06/2016
    Location: O'Reilly Booth (Table B)
    Todd Lipcon (Cloudera)
    Todd will answer questions about Apache Kudu, how to best design a schema and partitioning in Kudu for your use case, and how to become a Kudu contributor. Read more.
    14:05–14:45 Thursday, 2/06/2016
    Location: O'Reilly Booth (Table A)
    Kim Nilsson (Pivigo)
    If you are creating your organization's data strategy, time spent with Kim could be invaluable. Stop by to discuss how to set up a data science/analytics team, what skills are needed, how to attract and retain talent and organize analytics teams, including geodistributed teams, or how to become a data scientist. Read more.
    15:45–16:25 Thursday, 2/06/2016
    Location: O'Reilly Booth (Table B)
    Stephan Ewen (data Artisans)
    Curious about Flink? Stephan will answer questions about Apache Flink, data streaming applications, the patterns of continuous streaming applications, details about how to build such applications on top of Apache Flink, or how to integrate Flink with other systems and applications. Read more.
    15:45–16:25 Thursday, 2/06/2016
    Location: O'Reilly Booth (Table A)
    Ted Dunning (MapR)
    Average rating: ****.
    (4.00, 1 rating)
    Ted will answer questions about anomaly detection, streaming data architectures including Kafka and MapR Streams, processing frameworks such as Flink, Apex, Storm, and Spark Streaming, and just about anything else you may want to talk about. Read more.

    Friday, 3 June

    11:15–11:55 Friday, 3/06/2016
    Location: O'Reilly Booth (Table B)
    Tags: real-time
    Gwen Shapira (Confluent), Todd Palino (LinkedIn)
    Join Gwen Shapira, Todd Palino, and other Apache Kafka experts for a fast-paced conversation on Apache Kafka use cases, troubleshooting Apache Kafka, using Kafka in stream architectures, and when to avoid Kafka. Read more.
    11:15–11:55 Friday, 3/06/2016
    Location: O'Reilly Booth (Table A)
    Ben Sharma (Zaloni)
    Ben is happy to answer questions about data lake design, development, and management. He can also offer insight into how to leverage data lakes for key aspects of risk data aggregation and reporting. Read more.
    14:05–14:45 Friday, 3/06/2016
    Location: O'Reilly Booth (Table A)
    Dean Wampler (Lightbend)
    Average rating: *****
    (5.00, 1 rating)
    Dean will discuss all things Spark, stream processing, and deployment platforms, such as Mesos and Hadoop. Read more.
    15:45–16:25 Friday, 3/06/2016
    Location: O'Reilly Booth (Table A)
    Dave McCrory (Basho Technologies)
    If you want to understand data gravity, stop by to talk with Dave about data gravity cause and effects and data gravity dynamics in a market space. Read more.