Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Schedule: Meet the Experts sessions

Meet the Experts gives you a chance to meet face-to-face in a small group setting with expert Strata Data Conference 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.

Meet the Experts will take place in the Expo Hall.

    Wednesday, 24 May

    Add to your personal schedule
    11:1511:55 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table A
    Jesse Anderson (Big Data Institute)
    Jesse will be on hand to talk about his book, Data Engineering Teams and how data engineering teams should be set up. He also loves to talk about cutting edge technologies such as Kafka, Spark Streaming, and Apache Beam. Read more.
    Add to your personal schedule
    12:0512:45 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table A
    Matthew Rocklin (Anaconda)
    Matthew will explain how to parallelize Python data science workflows with NumPy, pandas, and scikit-learn across a cluster with dask or other parallel computing tools. Read more.
    Add to your personal schedule
    12:0512:45 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table B
    BT has adopted Hadoop as an enterprise platform for data processing and storage. Come talk to Phillip to find out how they did it—and what you can learn from their experiences. Read more.
    Add to your personal schedule
    14:0514:45 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table B
    Colin Gillespie (Jumping Rivers | Newcastle University)
    Colin is the author of Efficient R Programming, so if you have questions about working with R, stop by and see him. Read more.
    Add to your personal schedule
    14:0514:45 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table A
    Anima Anandkumar (UC Irvine)
    Anima is available to discuss deep learning at scale on AWS and various AI services on AWS. Read more.
    Add to your personal schedule
    14:5515:35 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table A
    Kim Nilsson (Pivigo)
    Average rating: *****
    (5.00, 1 rating)
    Getting started with data science can be hard. Want some advice? Stop by and meet with Kim. Read more.
    Add to your personal schedule
    14:5515:35 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table B
    Luke Han (Kyligence)
    Luke is cocreator and vice preseident of Apache Kylin, the top open source OLAP on Hadoop. Come chat with Luke about Apache Kylin, OLAP on Hadoop, and interesting use cases. Read more.
    Add to your personal schedule
    15:4516:25 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table A
    Ted Dunning (MapR)
    Ted will talk streaming architecture, machine learning, and geodistributed data. Read more.
    Add to your personal schedule
    15:4516:25 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table B
    Fabian Hueske (data Artisans)
    Fabian will discuss SQL on streams, stream analytics use cases, and stream processing with Apache Flink. Read more.
    Add to your personal schedule
    16:3517:15 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table A
    Amit Kapoor (narrativeVIZ Consulting), Bargava Subramanian (Impel Labs)
    Stop by and talk with Amit and Bargava about any aspect of narrative and interactive visualization or model (ML) visualization. Read more.
    Add to your personal schedule
    16:3517:15 Wednesday, 24 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table B
    What can you learn from nearly one million data scientists building more than two million machine-learning models? Stop by to meet Anthony and find out. Read more.

    Thursday, 25 May

    Add to your personal schedule
    12:0512:45 Thursday, 25 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table A
    srowen om (Cloudera)
    Sean will talk about Apache Spark, data science on Apache Hadoop, building data science teams, and open source software. Read more.
    Add to your personal schedule
    12:0512:45 Thursday, 25 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table B
    Dean Wampler (Lightbend)
    Dean will discuss trends in streaming data (so-called "fast data"), including Spark, Flink, Kafka, and even Scala, and explain what this means for Hadoop and emerging alternatives. Read more.
    Add to your personal schedule
    14:0514:45 Thursday, 25 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table B
    Tyler Akidau (Google)
    Average rating: *****
    (5.00, 1 rating)
    Chat with Tyler about stream processing in general or Apache Beam specifically. Read more.
    Add to your personal schedule
    14:0514:45 Thursday, 25 May 2017
    Location: Capital Hall (N24) - O'Reilly booth - Table A
    David Talby (Pacific AI)
    Tell David about your projects. He can answer any questions you have on how to build large-scale data science platforms and machine learning and natural language understanding pipelines—and how to successfully deploy and operate them in production. Read more.