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How Do You Query a Stream? | Ep. 15
Manage episode 371480908 series 3463469
Content provided by StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™ or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! In this episode of the Real-Time Analytics podcast, host Tim Berglund discusses the complexities of querying data streams. Tim examines two types of queries - transactional and analytical - and details four methods to handle such inquiries: dumping the data into a data lake, a relational database, using a stream processor, or a real-time analytics database. Each approach has its merits and drawbacks, relating to infrastructure, latency, and the type of analysis required.
Robert Zych's tweet: https://twitter.com/zychr/status/1540553490648289280
Gunnar Morling's episode: https://youtu.be/cyeKnfdjQlw
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Manage episode 371480908 series 3463469
Content provided by StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by StarTree, founded by the creators of Apache Pinot™ and Founded by the creators of Apache Pinot™ or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! In this episode of the Real-Time Analytics podcast, host Tim Berglund discusses the complexities of querying data streams. Tim examines two types of queries - transactional and analytical - and details four methods to handle such inquiries: dumping the data into a data lake, a relational database, using a stream processor, or a real-time analytics database. Each approach has its merits and drawbacks, relating to infrastructure, latency, and the type of analysis required.
Robert Zych's tweet: https://twitter.com/zychr/status/1540553490648289280
Gunnar Morling's episode: https://youtu.be/cyeKnfdjQlw
60 episodes
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Similar to Real-Time Analytics with Tim Berglund
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
1
Defensive Security Podcast - Malware, Hacking, Cyber Security & Infosec
Jerry Bell and Andrew Kalat
Defensive Security is a weekly information security podcast which reviews recent high profile cyber security breaches, data breaches, malware infections and intrusions to identify lessons that we can learn and apply to the organizations we protect.
…
continue reading
Material is a weekly discussion about the Google and Android universe. Your intrepid hosts try to answer the question, “What holds up the digital world?” The answer, so far, is that it’s Google all the way down. Hosted by Andy Ihnatko and Florence Ion.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
A podcast about web design and development.
…
continue reading
Every Friday and Sunday, Slate’s popular daily news podcast What Next brings you TBD, a clear-eyed look into the future. From fake news to fake meat, algorithms to augmented reality, Lizzie O’Leary is your guide to the tech industry and the world it’s creating for us to live in.
…
continue reading
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continue reading
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