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Big Data Tools and Pipelines

Ideas and resources related to data tools.

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Applying the Kappa architecture in the telco industry

By Nicolas Seyvet, Ignacio Mulas Viela | May 19, 2016

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Learn how to analyze and scale large datastores using Elasticsearch

By Radu Gheorghe | May 17, 2016

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Building a scalable, secure platform: If I knew then what I know now

By Bill Loconzolo | May 17, 2016

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Apache Spark 2.0: Introduction to Structured Streaming

May 16, 2016

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How to build an anomaly detection engine with Spark, Akka, and Cassandra

By Natalino Busa | May 16, 2016

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What is a resilient distributed dataset?

By Alex Robbins | May 13, 2016

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Using design patterns to find greater meaning in your data

By Julie Rodriguez, Piotr Kaczmarek | May 11, 2016

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Conquering data preparation at enterprise scale

By Shannon Cutt | May 10, 2016

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Installing Jupyter Notebook Extensions

By Jonathan Whitmore | May 10, 2016

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Accelerating real-time analytics with Apache Spark

By Sean Owen, Yann Delacourt | May 2, 2016

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Quality of Service for Hadoop: It’s about time!

By Vinod Nair | April 20, 2016

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Dive into scikit-learn

By Andreas Mueller | April 19, 2016

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Get started with deep learning in computer vision

By Pete Warden | April 6, 2016

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The next 10 years of Apache Hadoop

By Mike Cafarella, Ben Lorica, Doug Cutting | March 31, 2016

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Let’s get real: Acting on data in real time

By Jack Norris | March 29, 2016

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Driving the on-demand economy with predictive analytics

By Eric Frenkiel | March 29, 2016