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mnot’s blog: HTTP/2 is Done

The IESG has formally approved the HTTP/2 and HPACK specifications, and they’re on their way to the RFC Editor, where they’ll soon be assigned RFC numbers, go through some editorial processes, and be published.
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What is Deep Learning? - When bag of words meets bags of popcorn | Kaggle

Kaggle is a platform for data prediction competitions. Companies, organizations and researchers post their data and have it scrutinized by the world's best statisticians.
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Support for long-running services on your Hadoop YARN clusters

Support for long-running services on your Hadoop YARN clusters | Large-scale Incremental Processing | Scoop.it
This is the second post in a series that explores recent innovations in the Hadoop ecosystem that are included in HDP 2.2.
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Scala in Large Scale Systems

This is the first installment in a series about using Scala for large-scale data stores and analytics.
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Stream processing, Event sourcing, Reactive, CEP… and making sense of it all

Stream processing, Event sourcing, Reactive, CEP… and making sense of it all | Large-scale Incremental Processing | Scoop.it
This is an edited transcript of a talk I gave at /dev/winter 2015. Some people call it stream processing. Others call it Event Sourcing or CQRS. Some even call it Complex Event Processing. Sometime...
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Introducing Espresso - LinkedIn's hot new distributed document store | LinkedIn Engineering

Introducing Espresso - LinkedIn's hot new distributed document store | LinkedIn Engineering | Large-scale Incremental Processing | Scoop.it
We're seeking intelligent problem solvers who are inspired and motivated to change the world.
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HDFS Metadata Directories Explained

Learn details about files, configuration, and directory structure for HDFS Meta-directories. This blog explains how HDFS persists metadata in Hadoop 2.
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Hadoop Security: Is it a Different Paradigm?

Hadoop Security: Is it a Different Paradigm? | Large-scale Incremental Processing | Scoop.it
In this recap of a meetup, Hortonworks' security partner Dataguise recaps Apache Ranger's offerings and how Dataguise's DgSecure complements security for Hadoop.
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A tale of two clusters: Mesos and YARN - O'Reilly Radar

A tale of two clusters: Mesos and YARN - O'Reilly Radar | Large-scale Incremental Processing | Scoop.it
This is a tale of two siloed clusters. The first cluster is an Apache Hadoop cluster. This is an island whose resources are completely isolated to Hadoop and its...
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Kafka @ Yahoo

Kafka is used by many teams across Yahoo. The Media Analytics team uses Kafka in our real-time analytics pipeline. Our Kafka cluster handles a peak bandwidth of more than 20Gbps (of compressed data).
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Real-time distributed tracing for website performance and efficiency optimizations | LinkedIn Engineering

Real-time distributed tracing for website performance and efficiency optimizations | LinkedIn Engineering | Large-scale Incremental Processing | Scoop.it
We're seeking intelligent problem solvers who are inspired and motivated to change the world.
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The Netflix Tech Blog: Distributed Neural Networks with GPUs in the AWS Cloud

The Netflix Tech Blog: Distributed Neural Networks with GPUs in the AWS Cloud | Large-scale Incremental Processing | Scoop.it
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Video Archive of machine learning / deep learning talks at the Fields Institut

@rsalakhu: Video Archive of machine learning / deep learning talks at the Fields Institute: https://t.co/AXyc5yS2Pv
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Big data's big ideas - O'Reilly Radar

Big data's big ideas - O'Reilly Radar | Large-scale Incremental Processing | Scoop.it
Looking back at the evolution of our Strata events, and the data space in general, we marvel at the impressive data applications and tools now being employed by...
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Aggregators: modeling data queries functionally

This talk introduces Aggregators, an abstraction that makes it easy to build composable queries against big data sets.
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Metacademy - Deep learning from the bottom up

Metacademy - Deep learning from the bottom up | Large-scale Incremental Processing | Scoop.it
Metacademy - a free open source platform for efficient, personalized learning.
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