Tag: data analytics

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. With the plethora of devices connecting to the Internet, companies are collecting information from consumers continuously. Even though companies’ data storage capacity is growing daily at enormous rates, there are inadequate solutions for security issues to protect that data. The big data that companies store and process is very sensitive. This data is subject to the same compliance mandates and requires the same protection against breaches as with traditional databases. According to a 2016 report by the Identity Theft Resource Center, there is a 40% increase in ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. Featured Resources and Technical Contributions Deep Learning with TensorFlow in Python + Using Uninformed & Informed Search Algorithms - to Solve 8-Puzzle (n-Puzzle) in Python  Python: Implementing a k-means algorithm with sklearn  Image and Video Processing: Motion Estimation, Image Restoration  Semi-Supervised Classification using Markov Chain and Random Walk  Data Modelling Topologies of a Graph Database  The 10 Algorithms Machine Learning Engineers Need to Know  ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Roni Fontaine. On June 7, we hosted the Next Gen Data Analytics Powered by Cloud webinar with speakers from Hortonworks, Jeff Sposetti  and Amazon Web Services, Karthik Krishnan. The webinar provided an overview on how your organization can achieve the benefits of data analytics with the cloud, how to use the AWS marketplace for ease of deployment, and how to leverage Hortonworks cloud solutions for data science and analytics needs. Jeff and Karthik provided demos to show how easy it is to get started in the cloud. To get access to the slides, go ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Raghavan Madabusi. Overview Datameer, an end-to-end big data analytics platform, is built on Apache Hadoop to perform integration, analysis, and visualization of massive volumes of both structured and unstructured data. It can be rapidly integrated with any data sources such as new and existing data sources to deliver an easy-to-use, cost-effective, and sophisticated solution for big data analytics. It simplifies data extraction, data transformation, data loading, and real-time data retrieval. It helps to gain actionable insights from complex organizational data through data preparation and analytics. In this blog, let us discuss ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Tom Hastain. Did you catch the DataWorks Summit last week? Wedged between our huge announcements and the fumes from the t-shirt press, the Summit featured an array of keynote speakers from top companies across many industries. One of the keynote presenters was Gowri Selka, Head of Data Analytics and Corporate Technology at Walgreens Boots Alliance. Gowri spoke about how Walgreens is using Big Data to provide exceptional service to its 100 million customers. Here are the details from her presentation: When Data Becomes StrategyAbstract: Explore how data–mission critical in today’s business world–helps Walgreens Boots Alliance ... Read More

Feed: Latest imported feed items on Analytics Matters. Making intelligent and accurate predictions is the core objective of machine learning and artificial intelligence applications. To achieve that objective, the machine learning or artificial intelligence application needs clean and well-organized information in a robust ecosystem architecture. Machine Learning (ML) is the process of a computer system making a prediction based on samples of past observations. There are various types of ML methods. One of the approaches is where the ML algorithm is trained using a labeled or unlabeled training data set to produce a model. New input data is introduced to the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ramesh Dontha. One of the best ways to learn about any topic is start with very fundamental questions like What, Why etc? Good old Socratic method. In this series of articles on data mining, I plan to approach this topic in a similar fashion.  What is Data Mining? Simply put, Data mining is the process of sifting through large data sets to identify and describe patterns, discover and establish relationships with an intent to predict future trends based on those patterns and relationships. Why is data mining relevant now? Haven’t we been ‘mining’ data from time immemorial? Yes and No ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. When we think about analytical data, we imagine information collated and used in advanced niches such as the medical and computer industries. But there’s one other industry that uses analytical data on a major scale and has done so since the dawn of time. We are of course talking about the world of sport. From motorsports to badminton, there are very few sports (if any) that don’t make use of analytical data in some shape or form. Anyone that remembers a baseball player’s batting average or a ... Read More

Feed: AllegroGraph - THE Semantic Graph Database. Author: cnorvell. AllegroGraph News July, 2014 In this issue Free Webcast Series: Graph vs. Semantic Graph Databases - Selecting the Right Database for Your Next Project Discovering the Social Networks in your Customer Data Previous Webcasts: YouTube - The AllegroGraph Channel AllegroGraph 4.14 Available July 14th Gruff v5.3 Now Available NoSQL Now! August 19-21 to feature Dr. Jans Aasman Franz Sponsors GraphLab Conference 2014 - San Francisco, July 21 Follow us on Google Plus, Twitter, and YouTube Brief Highlights Free Webcast: Graph vs. Semantic Graph Databases - Selecting the Right Database for Your ... Read More

Feed: AllegroGraph - THE Semantic Graph Database. Author: cnorvell. #AllegroGraph News November, 2013 In this issue Free Webcast: Augmenting Hadoop for Graph Analytics Gruff Gets Reification Right Free Webcast: Taxonomies and Ontologies for Graph Search Franz to present at SF DAMA Day 2013, Dec. 11 Follow us on Google Plus, Twitter, and YouTube Brief Highlights Free Webcast: Augmenting Hadoop for Graph Analytics Wednesday, November 20 - 10:00 AM Pacific E-commerce sites, auction sites, financial institutions, insurance companies and telephone companies all have event based data that describes transactions between customers (Social Networks) that are located in time and space (GeoTemporal) ... Read More