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Modern Fast Streaming Data

Posted by Todd Montgomery  on  Oct 04, 2015 1

Todd Montgomery challenges some of the common myths and misconceptions about high performance streaming data, and takes a look at what is really possible today.


Reporting and the First Law of Holes

Posted by Sebastian von Conrad  on  Sep 29, 2015

Sebastian von Conrad advises on reporting: capturing the right data at the right time, best practices and cleaning up reporting debts in code bases.


Akka Streams: Streaming Data Transformation à la Carte

Posted by Viktor Klang  on  Sep 27, 2015

Viktor Klang explores fast data streaming using Akka Streams - how to design robust transformation pipelines with built-in flow control able to take advantage of multicore and go over networks.


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.


Pulsar: Real-time Analytics at Scale

Posted by Sharad Murthy, Tony Ng  on  Sep 13, 2015

Sharad Murthy & Tony Ng present Pulsar, a real-time streaming system which can scale to millions of events per second with high availability and 4GL language support.


Exploratory Data Analysis with R

Posted by Matthew Renze  on  Sep 13, 2015 3

Matthew Renze introduces the R programming language and demonstrates how R can be used for exploratory data analysis.


Spreadsheets for Developers

Posted by Felienne Hermans  on  Sep 11, 2015

Felienne Hermans presents various algorithms that outlining the power of Excel, showing that spreadsheets are fit for TDD and rapid prototyping.


The Many Faces of Apache Kafka: How is Kafka Used in Practice

Posted by Neha Narkhede  on  Aug 27, 2015 1

Neha Narkhede discusses how companies are using Apache Kafka and where it fits in the Big Data ecosystem.


Netflix’s Viewing Data Microservices: How we Know Where you are in House of Cards

Posted by Matt Zimmer  on  Aug 20, 2015

Matt Zimmer discusses architectural patterns -service decomposition, stateless application tiers, and polyglot persistence- and migration strategies used by Netflix.


How 30 Years of Ticket Transaction Data Helps you Discover New Shows!

Posted by Vaclav Petricek  on  Aug 19, 2015

Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.


Distributed Eventually Consistent Computations

Posted by Christopher Meiklejohn  on  Aug 15, 2015

Christopher Meiklejohn looks at applying two techniques together, deterministic data flow programming and conflict-free replicated data types, to create highly available and fault-tolerant systems.


Taking the Pain out of Real-time Mobile Back-end Development

Posted by Mandy Waite  on  Aug 15, 2015

Mandy Waite shows how to get started with Firebase before walking through a live demo of building a multi-user, collaborative mobile app that provides real-time updates to its users.

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