BIG DATA & IoT INSIGHTS
Expert insights into big data, Internet of Things, and beyond
Recent Big Data Insights
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Meet the data scientist: Kristin CarneyWhen Kristin Carney graduated with a BS in mathematics, she wasn't sure what she wanted to do with her degree. That’s when she began researching data science.
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Meet the data scientist: Daymond LingDaymond Ling believes the right personal traits are more important than technical skills when it comes to being a successful data scientist.
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Meet the data scientist: Colin NugterenData scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
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Artificial intelligence, machine learning, deep learning and moreArtificial intelligence, machine learning and deep learning are set to change the way we live and work. How do they relate and how are they changing our world?
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Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
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IoT in manufacturing: Voices from the fieldThe Internet of Things (IoT) is a transforming the manufacturing industry. Learn how the concept of connected devices can power smart manufacturing.
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The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
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How do free-to-play video games earn big profits?How does the industry leader of free-to-play, massively multiplayer online games scale its customer intelligence and analytics efforts to thousands of models and terabytes of data a day? With industrialized modeling from SAS.
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The future of IoT: On the edgeFrom cows to factory floors, the IoT promises intriguing opportunities for business. Find out how three experts envision the future of IoT.
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Data lake and data warehouse – know the differenceData lake – is it just marketing hype or a new name for a data warehouse? Find out what a data lake is, how it works and when you might need one.
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5 machine learning mistakes and how to avoid themMachine learning is not magic. It presents many of the same challenges as other analytics methods. Learn how to overcome those challenges and incorporate this technique into your analytics strategy.
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Can data sharing help cure cancer?Clinical trials can bring new drugs – and new hope – to the market for cancer patients. Now, a new data sharing platform for clinical trial data brings even more hope.
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Big data: The gold mine of investigative policingFind out what's needed to capitalize on big data for a significant impact your investigators' work and outcomes.
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Analytic simulations: Using big data to protect the tiniest patientsAnalytic models help researchers discover the best way to care for babies in the NICU, saving lives (and millions of dollars) in the process.
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See IoT industry examples in actionHow can analytics unlock the limitless possibilities in the Internet of Things?
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An executive’s guide to cognitive computingCognitive computing is the latest buzzworthy term that everyone seems to be talking about in the technology industry. But can machines really think?
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Exploring the sun with big dataResearchers working for NASA are using automatic, exploratory and visual analysis of big data to help understand the mysteries of our universe.
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A brave new world of analyticsMike Frost from SAS explains how a modern analytics platform can help make sense of the new, complex data reality.
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Internet des objets, Cloud et Big Data Innovation LabTechnologies. Culture. Organisation. La deuxième séance plénière de SAS Forum 2015 faisait le point sur ce nouveau « TCO » de la transformation numérique.
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Your personal data scientistImagine pushing a button on your desk and asking for the latest sales forecasts the same way you might ask Siri for the weather forecast. Find out what else is possible with a combination of natural language processing and machine learning.
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3 Internet of Things examples from 3 industriesRead detailed Internet of Things examples from a manufacturer, a government agency, and an oil and gas company. You’ll learn how much data is being streamed and find out the documented ROI for each application.
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The scoop on HadoopCloudera co-founder Mike Olson talks trends, changes and outlines the formula for success with Hadoop.
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How does one of the largest cities in the world use data for social good? From data privacy to data quality, what are the challenges in using data for social good, and how does one large organization in New York City address them? Hear from a research scientist at the Center for Innovation through Data Intelligence about the data they have, the questions they ask of it, and the data they’d like to see in the future.
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Tracking down answers to your questions about data scientistsDo you need a data scientist? Want to be a data scientist, or improve the skills you already have? Check out our Insights series.
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3 things you need to know about event stream processingAs more data is generated from the Internet of Things, more of it will be analyzed as it is streaming. Learn how to analyze streaming data – and how it differs from traditional analysis.
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Big data in health careThere's enormous potential for big data in health care: Individualized medical treatment, improved processes, reduced waste and so much more. See how three health care organizations are leading the way.
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Meet the data scientist: Victor FangLike many in Silicon Valley, Victor Fang has been a data scientist since before the title was coined. Read this analytical professional's Q&A.
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7 steps for executing a successful data science strategyGet tips from TDWI for making your foray into data science a success.
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Preparing a new generation for leadership in a big data worldWords of wisdom from university leader Dr. Michael Rappa on the role data scientists play, tips for hiring them and how to make the most of this career path.
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Meet the data scientist: Manuel David GarciaWhile he did study statistics, operations research and relational marketing, Data Scientist Manuel-David Garcia's "real school" came from on-the-job-training.
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6 Big Data Dos and Don’ts Social data. Streaming data. Unstructured data. What are the dos and don’ts for dealing with all these new big data sources? Find out from SAS experts and recent IDG research.
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Meet the data scientist: Alex HerringtonAlex Herrington decided he wanted a career in data because he liked the idea of using numbers to figure out things. Now he’s a data scientist at a US retailer.
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How to get the most value from your data scientistsHiring data scientists isn’t enough. This excerpt from an MIT Sloan report offers advice on how to best manage these analytic professionals.
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Making sense of streaming data in the Internet of ThingsThe Internet of Things is moving from buzzword to reality. This article uncovers how the topic is causing a shift in the analytics world.
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Big data and the Internet of Things: Two sides of the same coin?The concepts of big data and the Internet of Things are converging. Tamara Dull explains the relationship between the two terms - and how they are different.
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The era of gargantuan dataAt The Big Show in New York City, we heard from eBay, Chico's and Brooks Brothers about their use of big data for customer loyalty.
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Can sensing cities become thinking and responsive cities?In the vision of the sensing city, sensors will gather data to monitor everything from noise levels to water use, in real time and at a very granular level. Can the resulting data be analyzed to improve the lives of citizens?
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Three tips for innovating with big dataLearn what you need to move past the pilot phase with your big data projects and actually achieve wide scale results with big data.
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Big data possibilities for insurersInsurers have always spent time and money crunching numbers to better understand who to insure, at what cost and how much to reserve for losses. Big Data paired with analytics amps up the options for providing critical market advantages. Let’s look at a few areas in particular.
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Are you ready for your smart car?The Internet of Things will soon give rise to smart, connected cars and change personal transportation as we know it. Cisco's Andreas Mai previews what's coming, the stunning benefits, key challenges and next steps.
Big Data: The Basics
Qu’entend-on par big data?
Le défi essentiel des Big Data n'est pas de stocker les données pour une durée indéterminée et pour un usage futur, mais bien de les traiter dans un temps compatible avec les enjeux métiers actuels ou potentiels.
Ceci nécessite la mise en œuvre d'une démarche analytique permettant :
- d'adresser la réactivité, qui se traduit parfois par des usages quasi temps-réel,
- d'adresser la complexité, inhérente à l'algorithme ou induite par la diversité des données,
- de mettre en perspective ces deux derniers aspects par rapport aux enjeux et aux usages métiers de l'entreprise.
Derrière les Big Data, il y a avant tout des usages et en particulier ceux qui favorisent la prise de décision « argumentée » basée sur une démarche expérimentale ou analytique appropriée en trois phases : découvrir, modéliser, décider.
En apprendre davantage sur le big data
SAS au congrès Big Data 2015
Big Data Analytics
Quelles que soient la vitesse, la volumétrie et la variété de ces données, les entreprises doivent être en mesure de tirer parti de la valeur des informations stockées en masse grâce à une approche analytique des Big Data – c’est ce que l’on appelle les Big Data Analytics.
Répondre aux enjeux des Big Data grâce à l’utilisation de solutions Big Data Analytics vous permet de transformer vos données structurées et non structurées en un véritable capital informationnel tout en exploitant de manière optimale vos infrastructures techniques.
Hadoop
Les big data représentent un gisement de valeur important pour les entreprises. Hadoop est l’une des technologies phares utilisées pour fédérer et gérer des nouvelles sources de données (sites web, mobilité, médias sociaux, log machine etc...). Hadoop fonctionne sur des serveurs standards, ne nécessite pas l’achat de matériel spécifique et est particulièrement adapté au stockage de données non structurées, comme du texte ou des documents multimédia. Hadoop peut répondre à des cas d’usages très divers, dans une approche financièrement acceptable.
Comment intégrer Hadoop en douceur
En apprendre davantage sur Hadoop
Data Visualisation
Voir pour comprendre, telle est notre définition de la visualisation de données. Approcher vos données de façon graphique vous offre des perspectives nouvelles. Représenter vos informations sans recours à aucun spécialiste est un accélérateur dans l’entreprise, le partage et la collaborateur sont vos atouts pour usage efficace de vos données, quel qu’en soit la volumétrie. La data visualisation est le moyen le plus simple de traiter et d’interpréter les grandes quantités d’informations.
Internet des Objets
Basé sur la connectivité directe ou indirecte, l'Internet des objets recouvre tout ce qui intègre des modules de communication. La mise en connexion de nos voitures, télévisions, montres, stylos, podomètres et autres appareils à internet crée un réseau d'objets connectés appelé l'Internet des Objets. C'est une nouvelle révolution technologique et culturelle dont les exploitations sont illimitées. Nouveaux défis ? Bénéfices ?
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