Feed: Planet MySQL; Author: Vitess; For many large companies seeking help with horizontal scaling, Vitess’ value proposition is easily understood; running stateful workloads at astronomical scale is a hard problem that Vitess has boldly solved in the past. However, for businesses that aren’t hitting the performance limitations of standard MySQL, it may seem difficult to justify placing seemingly complex middleware in your data path with no immediate reward. I’m here to show you why unsharded Vitess is not just a pre-optimization for future horizontal scaling - it provides many upgrades to the MySQL experience.Query OptimizationNo matter how advanced our new ... Read More

Feed: R-bloggers. Author: Bruno Silva. In this post I’m going to explain how to use the package roadHotspots. This is just a development version located in github and I must say that I have no further intentions of continuing to work on this. If someone find this useful and would like to continue where I’ve left, please contact me. I’ve created this project just to demonstrate that with some (limited) programming knowledge, free open-source tools and approximately 20h of work it’s possible to develop a useful and simple software with a user-friendly interface and a great scientific potential. To install ... Read More

Feed: R-bloggers. Author: Kristopher Overholt. RStudio Connect 1.7.6 has been released and is now available for download. Thisrelease includes a new publishing method for Git-backed content, the ability forpublishers to manage vanity URLs for applications, full support for all SAMLauthentication providers, and other improvements and bug fixes. Updates New publishing method for Git-backed content This release adds the ability for data scientists to deploy content from Gitrepositories for individual applications within RStudio Connect. This publishing method is designed to allow data scientists to publish directlyfrom Git repositories to Connect, and have that content get updated at regularintervals without the need ... Read More

Feed: R-bloggers. Author: Posts on Lorenzo Busetto Website & Blog. A new version of MODIStsp (1.3.9) is on CRAN as of today ! This version: Related R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more... If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook ... Read More

Feed: R-bloggers. Author: exploRations in R. Intro In an earlier post I provided a template for creating a basic waterfall graph. Here I introduce a slightly more complex version with stacked bars over a time series. I use dplyr, ggplot2 and lubridate libraries. Stacked Waterfall Graphs This is a version of a waterfall graph I have found useful for showing delivery of commitments over time. The scenario is one where there are multiple groups with monthly deliverables. We want to see progress over time, current state, and timing of future deliverables through to end state or project completion. I start ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. This week Robert Schäfer and Grzegorz Leonie show us how they use Neo4j and GraphQL to build Human Connection, and Andy Robbins visualised Bloodhound data using PowerBI. We also have a detailed tutorial on monitoring Neo4j with Prometheus, a new release of Structr, and the college admissions scandal visualised. Our featured community members this week are Robert Schäfer and Grzegorz Leoniec. Robert Schäfer and Grzegorz Leoniec – This Week’s Featured Community Member Robert is a Javascript and Ruby developer who helps beginners to learn programming and journalists to develop prototypes for innovative ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Jocelyn Hoppa, Managing Editor, Neo4j | June 21, 2019Reading time: 1 minute Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.Last time, Bryce Merkl Sasaki put the spotlight on Neo4j’s Chief Scientist Jim Webber, who is a graph database technical guru (a thing I just made up, but not untrue!). Don’t sleep on Jim’s tidbits of graphy wisdom.This week, I decided it would be fun to bring you into the fold of Swedish Midsummer (June 22), which is essentially ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. Explore:  ai • artificial intelligence • feature selection • graph algorithms • link prediction • machine learning • machine learning predictions • ML • overfitting • webinar About the Author Mark Needham & Amy E. Hodler , Neo4j Mark Needham is a Support Engineer for Neo4j. He also blogs about software development at markhneedham.com. Amy is the Analytics and AI Program Manager at Neo4j. She believes a thriving graph ecosystem is essential to catalyze new types of insights. Accordingly, she helps ensure Neo4j partners are successful. In her career, Amy has ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Dr. Peng Sun, Software Engineer, CA Technologies | June 19, 2019Reading time: 9 minutes Editor’s Note: This presentation was given by Peng Sun at GraphConnect New York City in September 2018.Presentation SummaryCA Technologies was undergoing a digital transformation when they began incorporating Neo4j. They understood that multifaceted problems require different solutions, and sought to cover much more of their extensive data landscape.They were looking for a solution that could encompass the customer footprint and user journey from start to finish. However, they had a lot of dispersed data in a lot ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By David Allen, Technology Partner Architect, Neo4j | June 17, 2019Reading time: 4 minutes Google Kubernetes Engine (GKE) is a hosted, managed version of Kubernetes. As such, it is a great environment for developers to start experimenting with the many use cases for Neo4j. Neo4j is available through the Google Cloud Platform Marketplace, so developers familiar with Kubernetes can have Neo4j running in minutes.In this series, we explore the power of containers and Kubernetes in combination with Neo4j. Last week, we provided some background on GKE and Neo4j. This week we look ... Read More