Tag: innovation

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Wednesday, February 15, 2017 By Philippe Poutonnet, Product Marketing Lead and Mike Styer, Strategic Partner Development Manager In partnership with YouTube, Google Research and Kaggle, Google Cloud Platform (GCP) invites you to participate in a large-scale video classification and representation learning task: Google Cloud & YouTube-8M Challenge on Video Understanding Using Google Cloud Machine Learning, TensorFlow, or your favorite machine learning framework, the competition challenges you to develop classification algorithms that accurately assign ... Read More

Feed: Latest imported feed items on Analytics Matters. While public cloud deployments often make the headlines, those companies considering a move away from an on premise strategy are more likely to move to a hybrid cloud strategy rather than a wholehearted public cloud approach. Hybrid cloud is widely becoming acknowledged as a sensible way to scale and optimise on-premises resources, while also capitalising on the efficiencies offered by the public cloud. While growing in popularity, many firms still aren’t entirely clear on the hybrid cloud and what it can do. So What is It? A hybrid cloud approach is when ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Monday, February 13, 2017 By Yufeng Guo and Guillaume Laforge, Google Cloud Platform Developer Advocates Jeff Dean talks about TensorFlow, the machine learning toolkit open sourced by Google. TensorFlow is the machine-learning library open sourced by Google in November 2015. It gained over 11,000 stars on GitHub in its first week after launch, and has built up quite a community since then: at the time of this writing, TensorFlow has over 45,000 stars, ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Thursday, February 9, 2017 By Reto Meier, Google Developer Advocate In this installment of #TILwBQ, import a new table into BigQuery to investigate the increase in rat complaints in the open NYC dataset. The NYC 311 dataset in BigQuery indicates a dramatic increase in complaints about rats, starting in 2013. To dig deeper, I uploaded the Rodent Inspection table from the NYC Pest Control Database to BigQuery; watch the video to see how ... Read More

Feed: Database Trends and Applications : All Articles. Way back in the summer of 2014, I told you about how I used DB-Engines to determine the popularity of various data management tools and vendor platforms.At that time, I explained how I used DB-Engines.com and to see where the overall trends that I’m interested in are headed. Staying up with the trends isn’t just for fashionistas!We are the Champions, My FriendThe surprise came when Microsoft SQL Server was announced as the DBMS of the year for 2016 by DB-Engines.com. For the 12 months of 2016, SQL Server experienced a steep rise ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Anna Yong. Big Data for Cybersecurity Modern information security encompass broader data sets than in the past, in order to create context and generate a complete picture of network data, user behaviour pattern and business data  – all combined together so that a trendline of normal operations can be created. Then from that, it is possible to determine deviations from the norm (Reference  “To detect the abnormal I need to predict the normal” by Michael Schiebel. Manual Processes Can’t Match Rapidly Evolving Patterns As the hyperconnected digital world produces cybersecurity data at a volume ... Read More

Feed: Google Cloud Platform Blog. Author: GCP Team. By Brian Stark, Product Manager Google Cloud Platform When Google Cloud meets with large customers, it’s clear they're managing years of investment in on-prem tools and applications — many of them still mission-critical. One of the most common questions we field is how to get the cost, performance and innovation of cloud using the talent and tech they have today.We're committed to a seamless transition to the cloud, and in an effort to facilitate our customers’ journeys, we’re collaborating with CloudEndure, a cloud migration and disaster recovery provider, to offer a no ... Read More

Feed: All Oracle Press Releases. Contact Info About Pluralsight Pluralsight is an enterprise technology learning platform that delivers a unified, end-to-end learning experience for businesses across the globe. Through a subscription service, companies are empowered to move at the speed of technology, increasing proficiency, innovation and efficiency. Founded in 2004 and trusted by Fortune 500 companies, Pluralsight provides members with on-demand access to a digital ecosystem of learning tools, including adaptive skill tests, directed learning paths, expert-authored courses, interactive labs and live mentoring. For more information, visit www.pluralsight.com. About Oracle Cloud Oracle Cloud is the industry’s broadest and most integrated ... Read More

Feed: Microsoft Azure Blog. Author: Jeffrey Snover. Building innovative applications on cloud technologies is critical for organizations to accelerate growth and create differentiated customer experiences. Applications leveraging cloud technologies with pay-as-you-use pricing are now standard. Our goal is to ensure that organizations choosing hybrid cloud environments have this same flexibility and innovation capability to match their business objectives and application designs. This is why we are extending Azure technologies on-premises with Azure Stack and today, are announcing several updates for Azure Stack: TP3 available for download: Technical Preview 3 (TP3) is available for download today and has new features that ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Guest blog post by Rubens Zimbres, PhD. This article brings images from my work modeling with Mathematica, my experience as a Business Analyst and also my doctorate lessons. For me, the borders between a properly executed Business Intelligence and Data Science (with substantive knowledge in Management) are fuzzy. See the picture below: What is a Data Scientist ? In my understanding, someone can be a data scientist according to his domain expertise: Business management, physics, computer science, etc. DATA SCIENCE AND BUSINESS INTELLIGENCE PHASES 1) UNDERSTAND PROCESSES First of all, ... Read More