phillyete

Philly ETE # 38 – Reactive Javascript at Netflix – Jafar Husain & Matthew Podwysocki

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From the abstract: What’s does a mouse drag event have in common with an Array of numbers? The answer to this question may surprise you: they are both collections. This key insight holds the key to dramatically simplifying asynchronous programming in Javascript. In this talk you will learn how you can use the familiar Javascript … Read More

Philly ETE # 37 – Not-So-Big Data After All: Managing Reference Data with Sirius – Jon Moore

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From the abstract: Many interesting “reference datasets” now fit in a single commodity server’s RAM, with more on the way as main memory sizes continue to grow. The open source Sirius library allows developers access to this data in native datastructures while managing the distributed systems heavy lifting of replication and persistence. In this talk, … Read More

Philly ETE #36 – Why Spark Is the Next Top (Compute) Model – Dean Wampler

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From the abstract: Spark is an open-source computation platform for Big Data. Leaders in the Hadoop community, such as Cloudera, have embraced Spark as a replacement for MapReduce, the venerable standard for writing Hadoop jobs. This talk explores why this change is needed. Spark provides two important benefits compared to MapReduce. First, its performance is … Read More

Philly ETE #35 – Life In The Data Mines – Cliff Moon

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From the abstract: Boundary was founded on a relatively simple idea: what if we were to use modern distributed data processing techniques to tackle a moribund industry; IT Monitoring? Further, we figured that if we could tackle the piece of the stack that outputs the most data, the network, then we could take on any … Read More

Philly ETE #34 – How to Build a Recommender: Best Practices with Apache Mahout and Solr – Ellen Friedman

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From the abstract- As machine learning emerges from research to find its place in practical applications, it’s useful to know some tips for how to build a simple but powerful recommendation engine. This talk explores how to choose effective data, how to use Apache Mahout to discover the “right kind” of co-occurrence and an innovative … Read More

Philly ETE #34 – High Performance Reactive Applications with Vert.x – Tim Fox

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From the abstract: Vert.x is a lightweight, high performance, reactive application platform for the JVM that’s designed for modern mobile, web, and enterprise applications. In this talk you will learn about the design principles and motivation behind Vert.x and why we are heading for a reactive future. You will also hear an overview including demonstrations … Read More

Philly ETE #33 – Generalists Are Special – Chris Merrick

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From the abstract: Software is easier to write today than ever before. With little understanding of what’s going on behind the scenes, a marketer can stream an API firehose into a distributed system to perform a data analysis in just a few lines of code. The proliferation of open source projects and sites like GitHub … Read More

Philly ETE #32 – Distributed Systems in Production – Jeff Hodges

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From the abstract: In the field, distributed systems are the new norm. This talk discusses tactics and strategy for productionizing distributed systems with a little bit about what the future will hold.

Philly ETE #31 – Functional Reactive Programming in Elm – Evan Czaplicki

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From the abstract: Functional Reactive Programming (FRP) is a simple and elegant way to design and structure interactive code, like games and GUIs. Elm is a young functional language that brings this approach to the web, allowing you to easily create complex interactions. This talk will fully explain the key concepts of Functional Reactive Programming, … Read More

Philly ETE #30 – Deconstructing the Lambda Architecture. A Small, Fast Data Geek’s Journey Through Big, Slow Data – Darach Ennis

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From the abstract: Map Reduce begat Hadoop begat Big Data. NoSQL moved us away from the stricture of monolithic storage architectures to fit-for-purpose designs. But, Houston, we still have a problem – architects are still designing systems like they did in the ‘70s. Yet most systems are still designed for store-then-compute rather than to observe, … Read More