Big Data

Tag: Big Data

Personalized Medicine Summit 2017

PHEMI is excited to be sponsoring this year’s Personalized Medicine Summit 2017. The Personalized Medicine Initiative and partners are pleased to announce the 2nd Personalized Medicine Summit 2017, scheduled for June 11-13, 2017 at the University of British Columbia (UBC). This meeting follows on from the highly successful 1st Personalized Summit 2015 at UBC, which resulted in a consensus advisory document, the “Roadmap for Bringing Personalized Medicine to British Columbians”. The Summit will produce an updated Roadmap to assist government,

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Webinar: The State of the Art in Data Management for Precision Medicine & Genomics

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eHealth Initiative (eHi) recently interviewed a number of leading healthcare organizations to learn about their data management strategies for precision medicine and genomics. Join this informative webinar to learn the role of precision medicine, and how organizations are working to get the most value from their genomic data. Topics include: Integrating genomics with clinical practice Use-case examples Data management and storage strategies Getting data ready for analytics Privacy and security concerns Implications of data sharing Exploring and mining unstructured and

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BC Safety Authority

BC Safety Authority is an independent, self-funded organization mandated to oversee the safe installation and operation of technical systems and equipment. In addition to issuing permits, licences and certificates, we work with industry to reduce safety risks through assessment, education and outreach, enforcement, and research. Join PHEMI CEO, Dr. Paul Terry, at the event on March 2, 2017.

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Capitalizing on Big Data with Data Science

It’s easy to get overwhelmed by the marketing hype these days around “big data.” But what does it actually mean in practice? What’s the difference between big data, data science and the kinds of analytics that organizations have been using for years? How do big data systems and modern data science work together to answer new kinds of questions? Scientific Computing spoke with Roy Wilds, Ph.D., of PHEMI, a Vancouver-based big data company, to find out. Dr. Wilds is the

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Turnkey Hadoop? Yes, It’s Possible.

As you already know, there are big benefits to big data, and the first step to capitalizing on them is getting an efficient data architecture (including your traditional systems AND big data) up and running. But what’s the best way to build that warehouse? In our last blog, we discussed the many questions and complications that arise when you want to go DIY and build the warehouse yourself. But what about a pre-integrated solution? A turnkey solution won’t be as

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Maybe Don’t Try This at Home: The Pains of DIY Hadoop

So you want to get started with big data. Excellent! It’s easy to see why. From 360-degree customer views built from past transactions and social media feeds, to the ability to analyze thousands of processes and identify inefficiencies, to uncovering brand new connections by bringing together all your formerly disparate data sources, big data means big rewards for organizations across industries. For these reasons, the why is obvious. It’s the how that often proves more elusive. How do you get

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Guest Speaker: Dr. Paul Terry at SFU’s Big Data Hub

PHEMI’s President and CEO, Dr. Paul Terry will be giving a talk on Thursday, Jan. 19th, 12-1 pm, in the Presentation Studio at SFU’s Big Data Hub (ASB 10900). In his talk, Paul Terry will discuss the following issues, and consider the future of big data. * Big Data meets the cloud. * Big Data takes over from the Data Warehouse – Is there a future beyond SQL? * Big Data meets real time – Analysis as a competitive advance –

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Sap Steps up Data Privacy in Europe

Big Data Privacy

In our Big Data Round-Up series, PHEMI’s roving reporter brings you thought-provoking articles, resources, and insights that have caught our eye. Software companies from all over the world – including heavyweights like SAP and Oracle, and new visionaries like PHEMI – are strengthening their data privacy capabilities to meet increasing demands from businesses and consumers. Changing data sovereignty laws and an increasing focus on data security are forcing data software companies to adapt. In the case of SAP, Computer Weekly

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IoT Predictions for 2017: Big Data, Orchestration, Standardization, and More

2016 has certainly been an exciting year in the burgeoning IoT space. Yet 2017 is expected to be even better; a recent note from 451 Research argues that seven in 10 enterprise IT buyers are now gathering IoT data, a figure expected to rise even further in 12 months’ time. Below, IoT Tech News has put together a series of predictions from experts at the sharp end of the industry. Agree or disagree? Let us know in the comments. 1. Real

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Executive Viewpoint 2017 Prediction: PHEMI

With analysts predicting a worldwide big data technology and services market valued at nearly $50 billion by 2019, it’s imperative to understand big data trends. PHEMI Systems CEO Dr. Paul Terry shares insights gleaned from working with CIOs and IT departments leveraging big data more effectively for analysis, business intelligence, data science, and discovery. 1. Consensus Builds for Big Data Privacy and Governance As companies collect different data types to run analytics and unlock new discoveries, technology is emerging to

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