AWS re:Invent 2018: Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1)




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In this session, we discuss architectural principles that helps simplify big data analytics.

We’ll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We’ll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on.

Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.

ย  Complete Title: AWS re:Invent 2018: [REPEAT 1] Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1)

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Comment List

  • Amazon Web Services
    November 29, 2020

    It's a skilfully designed knowledgeable content. Fantastically explained.

    Also, if someone wants to know about the best Practices for Real-Time Analytics Architecture on Big Data.

    Read here: https://www.graymatter.co.in/real-time-analytics-bigdata-architecture/
    Know more: https://www.graymatter.co.in/real-time-analytics/
    Watch here: https://youtu.be/lXdYk3hak54

  • Amazon Web Services
    November 29, 2020

    Good talk. A learning one for me

  • Amazon Web Services
    November 29, 2020

    Nice looking UI on top of Open source projects. Highly innovative.

  • Amazon Web Services
    November 29, 2020

    Excellent presentation. Thanks. Can you please share the slide share the presentation link ?

  • Amazon Web Services
    November 29, 2020

    Great presentation!

  • Amazon Web Services
    November 29, 2020

    Too high level, not more detail

  • Amazon Web Services
    November 29, 2020

    Short and to the point!

  • Amazon Web Services
    November 29, 2020

    11:10 temperatures of data
    14:41 which stream/messages storages should I use?
    19:11 crazily heavy loading should use hdfs
    20:35 which database should I use?
    30:18 which stream processing technology should I use?

  • Amazon Web Services
    November 29, 2020

    Nice overview! The architectures presented are so insightful!

  • Amazon Web Services
    November 29, 2020

    Presto is stated as an interactive component, while AWS states https://aws.amazon.com/big-data/what-is-presto/ :ย it wasnโ€™t optimized for fast performance needed in interactive queries.

  • Amazon Web Services
    November 29, 2020

    Thanks a lot for this wonderful video. Now I have a rough idea how big data on aws look like

  • Amazon Web Services
    November 29, 2020

    Awesome presentation

  • Amazon Web Services
    November 29, 2020

    Why is this so similar to the one discussed on Invent 2017?https://www.youtube.com/watch?v=a3713oGB6Zk

  • Amazon Web Services
    November 29, 2020

    Awesome Video Love Watching Your Channel Post

    More videos๐Ÿ‘๐Ÿ‘‹๐Ÿ‘๐Ÿ‘Œ๐Ÿ™Œ๐Ÿ‘๐Ÿ‘‹๐Ÿ‘โœŒ๐Ÿ‘Œ

  • Amazon Web Services
    November 29, 2020

    nice presentation. please can you share the slides here.

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