BEGIN:VCALENDAR PRODID:-//Google Inc//Google Calendar 70.9054//EN VERSION:2.0 CALSCALE:GREGORIAN METHOD:REQUEST BEGIN:VEVENT DTSTART:20210901T160000Z DTEND:20210901T170000Z DTSTAMP:20210805T191501Z ORGANIZER;[email protected]:mailto:[email protected] UID:[email protected] ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP= TRUE;[email protected];X-NUM-GUESTS=0:mailto:wikimedi [email protected] X-MICROSOFT-CDO-OWNERAPPTID:-1335191410 CREATED:20210728T194516Z DESCRIPTION:The Data Engineering and Architecture teams are hosting a watch party for a talk given by Martin Kleppmann about how event streams can be used to build more flexible data systems.<br><br>This event is the discussi on of the talk. Attendees are expected to have watched the talk (and/or rea d the blog post) before hand\, either on their own or at the optional Watch Party. \; \;<br><br><a href="https://docs.google.com/document/d/17 ayKxzRY2vFGBkxz7Lh5GJfzBqYFPeC-J8rmixtx2ls/edit">Discussion Notes</a><br><h 1><a href="https://www.confluent.io/blog/turning-the-database-inside-out-wi th-apache-samza/">Turning the database inside-out</a>*</h1><br><p><em>Datab ases are global\, shared\, mutable state. That’s the way it has been since the 1960s\, and no amount of NoSQL has changed that. However\, most self-re specting developers have got rid of mutable global variables in their code long ago. So why do we tolerate databases as they are?</em></p><p><em>A mor e promising model\, used in some systems\, is to think of a database as an always-growing collection of immutable facts. You can query it at some poin t in time — but that’s still old\, imperative style thinking. A more fruitf ul approach is to take the streams of facts as they come in\, and functiona lly process them in real-time.</em></p>[...]<br><p><em>At its core is a dis tributed\, durable commit log\, implemented by Apache Kafka. Layered on top are simple but powerful tools for joining streams and managing large amoun ts of data reliably.</em></p><p><em>What do we have to gain from turning th e database inside out? Simpler code\, better scalability\, better robustnes s\, lower latency\, and more flexibility for doing interesting things with data. After this talk\, you’ll see the architecture of your own application s in a new light.</em></p><p><br></p><p><b>*This talk mentions Apache Samza \, but the specific framework is not relevant. \; Any modern Stream Pro cessing framework would do.</b></p>\n\n-::~:~::~:~:~:~:~:~:~:~:~:~:~:~:~:~: ~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~::~:~::-\nDo not edit this secti on of the description.\n\nThis event has a video call.\nJoin: https://meet. google.com/ikd-byyj-hgw\n(US) +1 650-449-9776 PIN: 483149521#\nView more ph one numbers: https://tel.meet/ikd-byyj-hgw?pin=9609297046684&hs=7\n\nView y our event at https://calendar.google.com/calendar/event?action=VIEW&eid=NTQ zbGxsdW9zbTNiOWE5NTdrMG8ycXFuOG8gd2lraW1lZGlhLXNlYXJjaEBsaXN0cy53aWtpbWVkaW Eub3Jn&tok=MjQjZG1vbnRhbGlvbkB3aWtpbWVkaWEub3JnYjE1NTI0M2E3Yjk3MmUxMDIyNTM0 YTVlODhlZmI1ZmEzYTE5NDNlZQ&ctz=America%2FNew_York&hl=en&es=1.\n-::~:~::~:~: ~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~:~::~:~::- LAST-MODIFIED:20210805T191500Z LOCATION: SEQUENCE:1 STATUS:CONFIRMED SUMMARY:Turning the database inside-out - Discussion TRANSP:OPAQUE END:VEVENT END:VCALENDAR
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