Streaming databases in realtime with MySQL, Debezium, and Kafka

@tachyeonz : Change data capture has been around for a while, but some recent developments in technology have given it new life. Notably, using Kafka as a backbone to stream your database data in realtime has become increasingly common.

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Python for big data

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How physicists analyze massive data: LHC + brain + ROOT = Higgs (33c3)

@tachyeonz : http://bit.ly/2i1HRQ3 are not computer scientists. But at CERN and worldwide, they need to analyze petabytes of data, efficiently. Since more than 20 years now, ROOT helps them with interactive development of analysis algorithms (in the context of the experiments’ multi-

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Tags : analytics, big data, ccc, cern lhc, chaos computer club, data pipeline, data science, data visualisation, data visualization, demo, stream processing, videos, z

Published On:January 02, 2017 at 04:43PM

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“Stream RT Data Processing & Analysis” CEP on Storm for Aidima Use Case – Demo

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Tags : #analytics, #cep, #iiot, #iot, #realtime, #streamprocessing, apache storm, m

Published On:November 26, 2016 at 08:36AM

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Apache Spark: A Unified Engine for Big Data Processing

@tachyeonz : Communications of the ACM, Vol. 59 No. 11, Pages 56-65 10.1145/2934664 This open source computing framework unifies streaming, batch, and interactive big data workloads to unlock new applications.

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Tags : #bigdata, #distributedcomputing, #streamprocessing, apache spark, m

Published On:November 11, 2016 at 12:00PM

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Deep Dive on AWS IoT

@tachyeonz : Upcoming SlideShare Loading in …5 × Deep Dive on AWS IoT 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Vadim Jelezniakov | Dev Manager, AWS IoT 19 April 2016 IoT on AWS Deep Dive 2. Goal: Answer these questions 1.

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Tags : #amazon, #aws, #internetofthings, #iot, #lambdaarchitecture, #streamprocessing, #tutorials, m

Published On:December 01, 2016 at 06:30AM

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The world beyond batch: Streaming 101

@tachyeonz : Editor’s note: This is the first post in a two-part series about the evolution of data processing, with a focus on streaming systems, unbounded data sets, and the future of big data. See part two. Streaming data processing is a big deal in big data these days, and for good reasons. Amongst them:

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Tags : #apacheflink, #apachestorm, #batchprocessing, #frameworks, #lambdaarchitecture, #microbatching, #realtime, #streamprocessing, m

Published On:November 30, 2016 at 10:58AM

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OSCON 2016 – Robust Stream Processing with Apache Flink

@tachyeonz : This is Jamie Grier’s recent talk from OSCON 2016. In this video Jamie gives the worlds shortest intro to stream processing and then dives into code and demonstrations of the features in Apache Flink that make truly robust stream processing possible. Topics covered are:- Apache Flink- Event Time v

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Tags : #anomalydetection, #apacheflink, #datascience, #iot, #streamprocessing, #timeseries, m

Published On:November 26, 2016 at 08:36AM

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“Stream RT Data Processing & Analysis” CEP on Storm for Aidima Use Case – Demo

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Tags : #analytics, #apachestorm, #cep, #iiot, #iot, #realtime, #streamprocessing, m

Published On:November 26, 2016 at 08:36AM

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The Perfect Big Data Platform — My Blueprint

@tachyeonz : Some time ago I have created a simple and modular big data platform blueprint for myself. It is based on what I have seen in the field and read in tech blogs all over the internet. Today I am going to share it with you.

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Tags : #batchprocessing, #bigdata, #kafka, #platform, #streamprocessing, m

Published On:November 12, 2016 at 09:31PM

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Apache Spark: A Unified Engine for Big Data Processing

@tachyeonz : Communications of the ACM, Vol. 59 No. 11, Pages 56-65 10.1145/2934664 The growth of data volumes in industry and research poses tremendous opportunities, as well as tremendous computational challenges.

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Tags : #apachespark, #bigdata, #distributedcomputing, #streamprocessing, m

Published On:November 11, 2016 at 12:00PM

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The State of Streaming Analytics: The Need for Speed and Scale

@tachyeonz : Upcoming SlideShare Loading in …5 × The State of Streaming Analytics: The Need for Speed and Scale 1. page THE STATE OF STREAMING ANALYTICS: THE NEED FOR SPEED AND SCALE 2. page© 2015 VoltDB OUR SPEAKERS Peter Vescuso CMO, VoltDB 2 Mike Gualtieri Principal Analyst Forrester Research 3.

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Tags : #bigdata, #streamprocessing, fast data, m, slides

Published On:August 15, 2016 at 07:34AM

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