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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.


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.


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.


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.


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).


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.


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.


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.


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.


Leveraging Big Data for Payment Risk Management

Posted by John Canfield  on  Sep 28, 2014

John Canfield discusses the changing payment ecosystem, innovations in mining and organizing unstructured data from many sources, and approaches to deciding for loss minimization and user experience.


Graph Search: The Power of Connected Data

Posted by Ian Robinson  on  Sep 20, 2014

Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.


How Shutl Delivers Even Faster Using Neo4J

Posted by Volker Pacher, Sam Phillips  on  Sep 19, 2014

Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.

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