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Integrating Real-Time Data - Spark and Kafka for Video and Data Stream Analysis

Integrating Real-Time Data Streams with Spark and Kafka for Video and Data-Stream Analysis

Join Talend as they bring you a deep, technical discussion on the real-world data science that underlies modern sport. Working from actual data collected in the English Premier league, and using tools that you can use yourself, we will walk through the process of building an analytics package using Spark and Kafka to collect real-time instrumentation data and produce meaningful results in minutes. 

The code, tools, and content for this session are readily available online and you can apply them to your own data science projects to accelerate your own real-time analytics. If you are using Kafka, Spark, or any real-time data science technologies, or even if you are just trying to get a better understanding of them, this event is for you. 

Mark Chapman

Mark Chapman is an industry veteran, with over 25 years business experience in information technology. For over 20 years, he has served as a technical consultant for data management software vendors specializing fuzzy matching, data quality and master data management. Mark is Senior Solutions Engineer for Talend in the US, providing deep technical product knowledge and industry experience to solve the challenges faced by Talend’s clients as they strive to become data driven enterprises.

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  • Franz D.

    For the job seeker,first congratulations and second start your mentor looking. here are the meetups that I suggested since my handwriting is quite poor.
    Remember there are Pyladie meetups in NY, CA, Boston, Chicago. For obivious reason, I don't go to the meetups but do follow the meetings in case a interesting meetup with github/presentation is posted. Cheers

    November 10

    • SukiGao

      Thank you so much for your suggestions, and I will definitely check these meetup organizations. A million thanks, again and have a good weekend!

      November 10

    • Franz D.

      No problem. Next meeting for the Data Scientist covers Presentation. Go, talk, ask advice, and find mentors. Down the road when you are in a good position, pay it back as you remember where you started. Cheers.

      November 11

  • Arturs O.

    I think the first time job seeker was Suki Gao!

    Btw I found an article that might be interesting to you related to our talk about what data science language to focus on. In the article the author uses google auto-suggest feature to do a network analysis of the "data science ecosystem" . It won't tell you what to focus on specifically, I don't think anything can in this regard, but maybe it'll be useful in getting a better understanding of the data science landscape. Hopefully it helps!

    November 10

    • SukiGao

      Hey Arturs, I just checked that link and it is really helpful me. A million thanks! Looking forward to meeting you in the next meetup meeting.

      2 · November 10

    • Arturs O.

      Looking forward to it as well!

      November 10

  • Franz D.

    Thanks to Talend and ByteCubed for an interesting night. I will enjoy playing with the sandbox. Also, while Talend has competitors like Apache Nifi, Pentaho, etc; it has lots of strengths and plays well with others. It helps to see the real time impacts as the recent World Series (US baseball) used real time analysis of their pitchers (arm and body motion) to judge their performance. With frameworks like (Pancakes see this, you start to get power streaming into the back end for user analysis.

    November 10

  • Joe C.

    Have a conflict for this one. Will the session be posted online somewhere?

    November 7

  • ben

    will this awesome topic be webcast or on youtube?

    1 · November 8

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