Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

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 Expo Hall.

    Wednesday, September 28

    2:05pm–2:45pm Wednesday, 09/28/2016
    Location: O'Reilly Booth (Table A)
    Neha Narkhede (Confluent)
    Join Neha for a deeper dive into Apache Kafka use cases, using Kafka for stream processing, comparing Kafka Streams's lightweight library approach with heavier, framework-based tools such as Spark Streaming or Storm, and how Kafka Connect can be combined with other tools such as stream processing frameworks to create a complete streaming data integration solution. Read more.
    2:55pm–3:35pm Wednesday, 09/28/2016
    Location: O'Reilly Booth (Table A)
    Julia Rodriguez (Eagle Investment Systems)
    Talk to Julie about new visualization methods. Read more.
    3:45pm–4:25pm Wednesday, 09/28/2016
    Location: O'Reilly Booth (Table A)
    Julien Le Dem (WeWork)
    Ask Julien about the future of column-oriented data processing with Arrow and ParquetSession, columnar, and hardware trends like RDMA, SSDs, and nonvolatile memory. Read more.
    3:45pm–4:25pm Wednesday, 09/28/2016
    Location: O'Reilly Booth (Table B)
    Andreas Mueller (Columbia University)
    Join Andreas to discuss machine learning, data science—in particular with Python—and using scikit-learn. Read more.

    Thursday, September 29

    11:20am–12:00pm Thursday, 09/29/2016
    Location: O'Reilly Booth (Table B)
    Ted Dunning (MapR, now part of HPE)
    Join Ted for discussion on data streaming—and how it can be applied to the analytics problems posed by modern motorsports. (Ask him about his physics-based simulator that analyzes data from simulated cars.) Read more.
    11:20am–12:00pm Thursday, 09/29/2016
    Location: O'Reilly Booth (Table A)
    Kurt Brown (Netflix)
    Ask Kurt about Netflix’s data platform and what the future holds. Read more.
    2:55pm–3:35pm Thursday, 09/29/2016
    Location: O'Reilly Booth (Table A)
    Michael Eacrett will be available to discuss how companies are using big data infrastructures, asynchronously and in real time, to actively solve information governance and data quality challenges. Read more.