Tag: metadata

Feed: The Internet of Things on AWS – Official Blog. Author: Amanda Lowe. Manufacturing industries only realize 20 to 30 percent of the value of their data. By consistently leveraging the value of their data, manufacturing companies could reduce product development costs by up to 50 percent and operating costs by up to 25 percent, while increasing their gross margins by one third[1]. Industrial IoT (IIoT) is a data lever – it brings machines, field assets at the edge, cloud computing, analytics, and people together to improve the performance and productivity of industrial processes. With IIoT, industrial companies can digitize ... Read More

Feed: R-bloggers. Author: Casey Bates. In this blog post, we’ll look at how to use R Markdown. By the end, you’ll have the skills you need to produce a document or presentation using R Mardown, from scratch!We’ll show you how to convert the default R Markdown document into a useful reference guide of your own. We encourage you to follow along by building out your own R Markdown guide, but if you prefer to just read along, that works, too!R Markdown is an open-source tool for producing reproducible reports in R. It enables you to keep all of your code, ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Retainment and reuse of institutional expertise is the holy grail of knowledge management. Over the years, enterprises have leveraged many generations of knowledge management products in order to retain and reuse knowledge across the enterprise, prevent re-inventing the wheel and improve productivity. Why Build an Enterprise Knowledge GraphEnterprise knowledge graph, coupled with AI/ML-based predictive capabilities, is the future of knowledge management technology.This is a vast improvement over current knowledge management implementations. Graph technology helps connect discrete pieces of information together with the right context, providing extremely fast and flexible querying capabilities. Coupling ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: itumeleng-monale; Follow @IBMAnalyticsDataOps journey Our data journey with IBM started when needing to respond to regulatory changes. We have since evolved to applying the technology to various business cases; most recently adapting to COVID-19 market conditions and now looking to the future for building new use cases with DataOps and AI. The journey begins with seeking to improve our data management, in the areas of data quality, governance, business reporting and customer experience.  Regulatory market changes The first market force challenges were regulatory -the Basel Committee on Banking Supervision ... Read More

Feed: Neo4j Graph Database Platform. Author: David Penick. Data is both our most valuable asset and our biggest ongoing challenge. As data grows in volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data no longer work. Increasingly, businesses are recognizing a need to harness all of their data, particularly their data around customers, products, partners and more – often called master data. Pressing business priorities such as compliance and digital transformation require a holistic view of this master data.Achieving that holistic view requires connecting data across a myriad of sources and silos. Connecting ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Join us for a webinar on Wednesday July 8, 2020 at 11:00 am – 12:00  noon PST, presented by Microsoft Data Platform MVP,  Reid Havens from Havens Consulting Inc. Reid will walk us through Performance, Optimization and Intelligent Error Handling in Power Query. There are two cornerstones to building optimized and low maintenance queries in Power BI. The first is making sure queries have been designed to refresh at optimal speeds. Primary topics for performance tuning include: removing columns and rows, applied step configuration and order precedence, query folding, managing variables, and tables vs lists for ... Read More

Feed: R-bloggers. Author: Jozef's Rblog. [This article was first published on Jozef's Rblog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.The National Hockey League (NHL) is considered to be the premier professional ice hockey league in the world, founded 102 years ago in 1917. Like many other sports, the data about teams, players, games, and more are a great resource to dive in and analyze using modern software tools. Thanks to the open NHL ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Noora Husseini. By Noora Husseini, Lead Data Scientist at TIBCO SoftwareBy Mariano Luna, Sr. Manager, Cloud and Technology Alliances at TIBCO SoftwareBy Dilip Rajan, Partner Solutions Architect at AWSIn March 2020, TIBCO Software—an integration, analytics, and event-processing software provider—launched an analytics app to track the spread and impact of the COVID-19 pandemic in real-time, over local regions worldwide. The goal of this analytics app is to enable organizations to assess the potential impact of the COVID-19 pandemic on their business fabric, using sound data science and data management principles, in the context of ... Read More

Feed: Recent Announcements. Today, we are pleased to announce improved handling of missing or sparse metadata for interactions, user and item dataset types, in Amazon Personalize. Metadata such as brand of a product, age group of a user, or device type for the browsing session can be useful for improving the accuracy and relevance of recommendation models. However, this data is often imperfect, and can have data missing in many cases, which if not handled carefully during a machine learning model training process, can adversely affect the model performance.   To handle such situations, Amazon Personalize now enables you to ... Read More

Feed: erwin Expert Blog – erwin, Inc.. Author: Zak Cole. Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to workIT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. This article highlights some specific use cases and the results they’re experiencing within the organizations.Enterprise Architecture & Business Process Modeling with erwin EvolveAn enterprise architect uses erwin Evolve at an aerospace/defense firm with more than 10,000 employees. His team is “doing business process modeling and high-level strategic modeling with its capabilities.” Others in his ... Read More