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50:44

Ingest & Stream Processing - What Will You Choose?

Posted by Pat Patterson, Ted Malaska  on  Aug 14, 2016 1

Pat Patterson and Ted Malaska talk about current and emerging data processing technologies, and the various ways of achieving "at least once" and "exactly once" timely data processing.

30:55

Journey from Data Integration to Data Science

Posted by Michael Wise  on  Aug 11, 2016

Michael Wise discusses the journey from having data integrated across an organization, to employing data science to make good use of it.

01:26:12

Data Driven Action: A Primer on Data Science

Posted by Sarah Aerni,Srivatsan Ramanujam,Jarrod Vawdrey  on  Dec 13, 2015

S Aerni, S Ramanujam and J Vawdrey present approaches and open source tools for wrangling and modeling massive datasets, scaling Java applications for NLP on MPP through PL/Java and much more.

50:40

Data Structure Adventures

Posted by Joseph Blomstedt  on  Oct 03, 2015

Joseph Blomstedt presents ongoing work to build a new set of high performance data structures for Erlang, including both single process data structures as well as various concurrent data structures.

59:25

Making Distributed Data Persistent Services Elastic (Without Losing All Your Data)

Posted by Joe Stein  on  Sep 20, 2015

Joe Stein introduces Mesos and managing data services on it, presenting use cases for replacing classic solutions (like cold storage) with new functionality based on these technology.

53:01

Design vs. Data: Enemies or Friends?

Posted by Mary Poppendieck  on  Aug 22, 2015

Big Design Upfront was considered so evil in the early days of Agile that it acquired its own acronym. It’s time we relearned that great products start with asking the right questions.

39:31

Responding Rapidly When You Have 100GB+ Data Sets in Java

Posted by Peter Lawrey  on  Jul 05, 2015

Peter Lawrey discusses data-driven reactive systems, profiling latency distribution in such an environment, finding rare bugs, implementing resilience and monitoring.

47:40

Evolving a Data System

Posted by Simon Metson  on  Apr 28, 2015

Simon Metson approaches the problem of evolving a data system; some patterns and anti-patterns both technical (polyglot systems, lambda architectures) and organisational (data silos, lava layers).

48:23

Don’t Let Data Gravity Crush Your Infrastructure

Posted by Dave McCrory  on  Apr 19, 2015

Dave McCrory talks about what is Data Gravity, how it affects performance and portability and why these effects are amplified when there are larger volumes of data.

46:52

Consistency without Consensus: CRDTs in Production at SoundCloud

Posted by Peter Bourgon  on  Feb 22, 2015

Peter Bourgon provides a practical introduction to Conflict-free Replicated Data Types (CRDTs) and describes a production CRDT system built at SoundCloud to serve several product features.

59:37

Following Google: Don’t Follow the Followers, Follow the Leaders

Posted by Mark Madsen  on  Feb 21, 2015

Mark Madsen explains the history of databases and data processing over the past decades and looks where the industry will go.

44:52

Structure, Personalization, Scale: A Deep Dive into LinkedIn Search

Posted by Asif Makhani, Daniel Tunkelang  on  Nov 01, 2014

The authors discuss some of the unique challenges they've faced delivering highly personalized search over semi-structured data at massive scale.

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