Tue.Sep 11, 2018

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The ethics of data flow

O'Reilly on Data

If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows. Data, even “big data,” doesn’t stay in the same place: it wants to move. There’s a long history of language about moving data: we have had dataflow architectures, there's a great blog on visualization titled FlowingData , and Amazon Web Services has a service for moving data by the (literal) truckload.

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How to improve manufacturing ROI with prescriptive analytics

IBM Big Data Hub

Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while managing production costs efficiently. Prescriptive analytics helps companies see where process improvements could have the biggest, most immediate impact on their bottom line.

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Building an Open Data Processing Pipeline for IoT

Cloudera

Authors: David Bericat, Global Technical Lead, Internet of Things, Red Hat and Jonathan Cooper-Ellis, Solutions Architect, Cloudera. Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40
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Will My Business Users Embrace Augmented Analytics?

Smarten

Advanced Analytics and Smart Data Discovery for ALL! Don’t think that advanced analytics is too complicated for your business users. Nothing could be further from the truth! You can create Citizen Data Scientists and improve the analytical abilities and outcomes for your average business user if you give them the right tools. What you need is Advanced Analytics Software that is designed with sophisticated analytical techniques and methods and also designed for business users, with simple n

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Progress for big data in Kubernetes

O'Reilly on Data

It has become much more feasible to run high-performance data platforms directly inside Kubernetes. Kubernetes is really cool because managing services as flocks of little containers is a really cool way to make computing happen. We can get away from the idea that the computer will run the program and get into the idea that a service happens because a lot of little computing just happens.

Big Data 153