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The Slow Adoption of Big Data

The Slow Adoption of Big Data | Cloud & Bigdata Watching | Scoop.it
Despite all the hype and potential, most companies are essentially stalled in the preparation phase of their big data efforts.
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The Internet-Connected Engine Will Change Trucking

The Internet-Connected Engine Will Change Trucking | Cloud & Bigdata Watching | Scoop.it
It’s happened to all of us. You’re driving down the road and the “check engine” light appears on your dashboard. It could be something simple, like time for an oil change, or it could be something bigger.

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Benchmarking variation and RNA-seq analyses on Amazon Web Services with Docker

Benchmarking variation and RNA-seq analyses on Amazon Web Services with Docker | Cloud & Bigdata Watching | Scoop.it

Overview We developed a freely available, easy to run implementation of bcbio-nextgen on Amazon Web Services (AWS) using Docker. bcbio is a community developed tool providing validated and scalable...

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The Internet of Things is Dead

A journey through the Internet of Things landscape, why it's about the Data more than the Things, and how everything is connected.
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Catching the Internet of Things (IoT) Wave

A Presentation at the July 2014 IEEE Palouse section meeting by Christian Légaré VP & CTO at Micrium and VP at the IPSO Alliance. From the announcement: "The …
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리프트(Lyft) 드라이버 체험

리프트(Lyft) 드라이버 체험 | Cloud & Bigdata Watching | Scoop.it
지난 토요일 아침, 리프트(Lyft) 드라이버가 되어 샌프란시스코에서 반나절동안 운전을 해봤다. 꽤 흥미로운 경험이었다. 지난번 우버에 대해 썼던 블로그에 언급했듯, 운전을 하면서 다양한 사람을 만나면 재미있겠다 싶어서 예전에 운전자로 신청을 했었는데, 택시 운전사가 되어 제한 시간 내에 손님을 목적지까지 데려다주는 '크레이지 택시' 라는 게임 생각도...
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Benchmarking Apache Kafka: 2 Million Writes Per Second (On Three Cheap Machines) | LinkedIn Engineering

Benchmarking Apache Kafka: 2 Million Writes Per Second (On Three Cheap Machines) | LinkedIn Engineering | Cloud & Bigdata Watching | Scoop.it
We're seeking intelligent problem solvers who are inspired and motivated to change the world.
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(ARC306) IoT: Small Things and the Cloud | AWS re:Invent 2014

Working with fleets of ''Internet of Things'' (IoT) devices brings about distinct challenges. In this session, we will explore four of these challenges: teleme…
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Aerospike Hits One Million Writes Per Second with just 50 Nodes on Google Compute Engine

Aerospike Hits One Million Writes Per Second with just 50 Nodes on Google Compute Engine | Cloud & Bigdata Watching | Scoop.it
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The Impact of Using Latest-Generation Instances for Your Amazon EMR Job

The Impact of Using Latest-Generation Instances for Your Amazon EMR Job | Cloud & Bigdata Watching | Scoop.it
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Lustre Delivers 10x the Bandwidth of NFS on Intel Xeon Phi - TechEnablement

Lustre Delivers 10x the Bandwidth of NFS on Intel Xeon Phi - TechEnablement | Cloud & Bigdata Watching | Scoop.it

Lustre on Intel Xeon Phi delivered 10x the bandwidth of NFS as reported in the 2014 Lustre User Group (LUG) presentation “Running Native Lustre* Client inside Intel® Xeon Phi™ coprocessor” by Dmitry Eremin, Zhiqi Tao and Gabriele Paciucci of Intel Corporation. Network file systems are essential to the current generation of Knights Corner Intel Xeon Phi coprocessors because …

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Why Internet of Things 'standards' got more confusing in 2014

Why Internet of Things 'standards' got more confusing in 2014 | Cloud & Bigdata Watching | Scoop.it
Multiple industry groups formed in 2014, and there will probably be just as many a year from now.
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Introduction to AllJoyn

AllJoyn is an open source framework in the fight to become the standard for IoT applications. The presentation brings together information scattered around to …
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IoT protocols landscape

Protocols landascape for Internet of Things and M2M communication. The slides describe the architcture and all main features of HTTP (REST), CoAP, MQTT and AMQ…
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Implement a Real-time, Sliding-Window Application Using Amazon Kinesis and Apache Storm

Implement a Real-time, Sliding-Window Application Using Amazon Kinesis and Apache Storm | Cloud & Bigdata Watching | Scoop.it
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The Impact of Using Latest-Generation Instances for Your Amazon EMR Job

The Impact of Using Latest-Generation Instances for Your Amazon EMR Job | Cloud & Bigdata Watching | Scoop.it
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Something about Kafka - Why Kafka is so fast

This slide briefly introduced the reason why kafka is so fast in performance.
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Complex Event Processing using Spark Streaming and SparkSQL |

Notes and thoughts on software development
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ChattingCat Service Architecture

채팅캣 서비스 아키텍처 관하여 채팅캣은 지금까지 3번의 변화를 거쳐 현재 서비스에 이르게 되었습니다. 초창기 Node.js 가 막뜨던 시기에, Node.js + mongoDB 조합으로 시작되었다가, Rails 개발자를 만나 다른 버전으로 변경되었다가, 제가 맡게 되면서 지금의 Torquebox + Rails 버전에 이르기까지 다사다난한 과정을 겪으며 성장하고 있습니다.
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“엑셀 데이터 분석, 왓슨에게 무료로 맡기세요”

“엑셀 데이터 분석, 왓슨에게 무료로 맡기세요” | Cloud & Bigdata Watching | Scoop.it
IBM이 12월5일 ‘왓슨 애널리틱스’ 베타버전을 출시했다. 이는 ‘왓슨’을 이용한 데이터 분석 시스템으로, 베타버전은 누구나 무료로 체험할 수 있다. 왓슨은 IBM에서 연구하는 자연어 기반의 인지 컴퓨팅 서비스다. 이번에 공개한 왓슨 애널리틱스는 데이터 분석에 특화된 기술로, 자연어 기반으로 원하는 걸 묻고 분석 결과를 얻을 수 있다.
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Apache Kafka: Next Generation Distributed Messaging System

Apache Kafka: Next Generation Distributed Messaging System | Cloud & Bigdata Watching | Scoop.it
Apache Kafka is a distributed publish-subscribe messaging system. This article covers the architecture model, features and characteristics of Kafka framework and how it compares with traditional messaging systems.
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