Tag: analytics

Feed: SAS BlogsRSS – SAS Blogs. Author: Natalie Mendes. Who cares about sports and data? Not just athletes, coaches and fans. It turns out that many companies outside of sporting organisations are also associated with the sports industry.  For example, financial services organisations are actively involved in sports sponsorships. Retailers sell fan merchandise. Telcos build social engagement strategies around sporting events. And more recently, sporting apps and devices are a large part of the internet of things (IoT) data deluge. At a recent analytics in sports conference, almost every delegate at the conference talked about wearables, video imaging and smart ... Read More

Feed: SQL Server Blog. Author: SQL Server Team. This post is by Joseph Sirosh, Corporate Vice President of the Data Group at Microsoft. Transactional Workloads + Intelligence Online transaction processing (OLTP) database applications have powered many enterprise use-cases in recent decades, with numerous implementations in banking, e-commerce, manufacturing and many other domains. Today, I’d like to highlight a new breed of applications that marry the latest OLTP advancements with advanced insights and machine learning. In particular, I’d like to describe how companies can predict a million events per second with the very latest algorithms, using readily available software. We have ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Carter Shanklin. The 100% open source and community driven innovation of Apache Hive 2.0 and LLAP (Long Last and Process) truly brings agile analytics to the next level. It enables customers to perform sub-second interactive queries without the need for additional SQL-based analytical tools, enabling rapid analytical iterations and providing significant time-to-value. TRY HIVE LLAP TODAY Read about how Hive with LLAP can bring sub-second query to your big data lake, please go here: http://hortonworks.com/apache/hive/       2. If you’re looking for a quick test on a single node, the Hortonworks Sandbox 2.5. Download the Sandbox and this LLAP ... Read More

Feed: Big Data University Author: cora Posted on October 11, 2016 by cora Here’s this week’s news in Data Science and Big Data. Don’t forget to subscribe if you find this useful! Interesting Data Science Articles and News First Demonstration of Brain-Inspired Device to Power Artificial Systems – New research, led by the University of Southampton, has demonstrated that a nanoscale device, called a memristor, could be used to power artificial systems that can mimic the human brain. Bubble sheet multiple choice scanner and test grader using OMR, Python and OpenCV – Rosebrock demonstrates how to implement a bubble sheet ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Higher education has been a little slow on the uptake to use advanced analytics to improve student success but now with the technology that allows us to marry and analyze structured and unstructured data, including streaming data, a number of successful projects are underway.   Earlier this week I had the pleasure of moderating a webinar focusing on the work of two Pivotal data scientists working with a prestigious mid-west university to use data to predict student success.  It’s a topic that has long interested me as I ... Read More

Feed: Latest imported feed items on Analytics Matters. I’ve been asked a lot of questions since the Teradata Marketing Applications (TMA) acquisition was closed on July 1, 2016. If I were to create a word cloud from the universe of those questions, the word change would be exceptionally prominent. Depending on a number of possible factors—including one’s personal belief system, context, and current situation—the word change can take on many different meanings and/or evoke a multitude of emotions. Considering where Mapp is now and where we are going in our journey, I wholeheartedly love change! In this context, my favorite ... Read More

Feed: Latest imported feed items on Analytics Matters. Internet of Things (IoT), data labs, open source, Teradata Unified Data Architecture ™ – all of which evoke thoughts of innovation, pushing the limits of analytics and data with cutting edge access to actionable insights.  And Enedis is doing it all. As a neutral Distribution System Operator (DSO) covering more than 95% of France, Enedis is regulated by the French government and provides electricity to unregulated suppliers.  Ultimately though, Enedis is responsible for connecting 35 million customers within France to their electricity.  Continuity and quality are primary objectives and both have the ... Read More

Feed: Database Trends and Applications : All Articles. A new world of self-service BI brings with it its own issue of data chaos. When everyone is looking at the data their own way, people find different answers to the same questions.Data modeling can provide a valuable component of BI that has been largely neglected. In a recent DBTA webinar, Shohei Narron and Anika Kuesters Smith, data analysts at Looker, discussed the company’s approach to data modeling and how it powers a data exploration environment.In the past, data governance has been blamed for creating a bottleneck, Narron explained. In the early ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. Amazon Web Services and our justice and public safety partner ecosystem are gearing up to travel to San Diego for the 2016 IACP Annual Conference, October 15-18, 2016.Cloud technology is becoming the new normal in many industries, such as financial services and healthcare. The same is becoming true for the justice and public safety community. We are seeing more police departments in the U.S. and around the globe move their mission-critical applications and data to the cloud. To address any remaining questions you may have about the cloud, we will have ... Read More

Feed: Planet big data. Author: Curt Monash. October 10, 2016 Then felt I like some watcher of the skiesWhen a new planet swims into his ken — John Keats, “On First Looking Into Chapman’s Homer” 1. In June I wrote about why anomaly management is hard. Well, not only is it hard to do; it’s hard to talk about as well. One reason, I think, is that it’s hard to define what an anomaly is. And that’s a structural problem, not just a semantic one — if something is well enough understood to be easily described, then how much of ... Read More