Tag: fun

Feed: Planet PostgreSQL. A partitioning system in PostgreSQL was first added in PostgreSQL 8.1 by 2ndQuadrant founder Simon Riggs. It was based on relation inheritance and used a novel technique to exclude tables from being scanned by a query, called “constraint exclusion”. While it was a huge step forward at the time, it is nowadays seen as cumbersome to use as well as slow, and thus needing replacement. In version 10, it was replaced thanks to heroic efforts by Amit Langote with modern-style “declarative partitioning”. This new tech meant you no longer needed to write code manually to route tuples ... Read More

Feed: R-bloggers. Author: Chester Ismay. Here is the track link. Track Details In this track, you’ll learn the skills needed to get you up and running with data science in R using the tidyverse. The tidyverse is a collection of R packages that share a common design philosophy and are designed to seamlessly work together, all with novices to data science professionals equally benefiting. You’ll begin by hopping into data wrangling and data visualization with the gapminder dataset in the Introduction to the Tidyverse course. Next, in Working with Data in the Tidyverse, you’ll learn about “tidy data” and see ... Read More

Feed: SAS Blogs. Author: Gerhard Svolba. Orakel von Delphi im Tempel des Apollon Diesen Sommer war ich in Griechenland und habe dort auch das Orakel von Delphi im Tempel des Apollon besucht. Unser Tourguide erzählte uns, dass das Orakel vom siebten Jahrhundert v. Chr. bis zum vierten Jahrhundert n. Chr. für Prophezeiungen konsultiert wurde. Das ist beeindruckend: Es ist vermutlich die erste und möglicherweise einzige „Prediction Engine“, die 1100 Jahre lang erfolgreich in Betrieb war – und je länger ich den Tempel betrachtete, desto mehr Parallelen zu Machine Learning kamen mir in den Sinn. Wie funktioniert die erste dokumentierte „Predictive ... Read More

Feed: R-bloggers. Author: Hugo Bowne-Anderson. Here is a link to the podcast. Hugo: Hi there, Renée, and welcome to DataFramed. Renée: Hi Hugo. Great to be here. Hugo: It’s great to have you on the show and I’m really excited to talk about all the things we’re gonna talk about today, the podcast that you worked on for so long, the idea of becoming a data scientist and your journey and process there, but before that I’d like to find out a bit about you. Maybe you can tell us a bit about what you’re known for in the data ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. By Karin Wolok, Neo4j Program Manager, Community Development & Enablement | September 17, 2018Reading time: 4 minutes GraphConnect is almost here, which means it’s time for our annual GraphHack Hackathon!Join other graph hackers for a fun day of building applications featuring Neo4j’s great integrations with other popular technologies (a.k.a. buzzwords). This year’s event will be hosted at the Stack Overflow office (28th floor) in New York City all day on Saturday, September 22nd. All Your GraphHack Questions AnsweredDo I need a GraphConnect ticket to attend? Nope. While the GraphHack is always ... Read More

Feed: Planet MySQL; Author: Norbert Tretkowski; Fun with high available database clusters... a full disk on one #Galera node can lead to a complete stop of the whole cluster...https://github.com/codership/mysql-wsrep/issues/281 ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. In the second post of the series where we obtained data fromeBird wedetermined what birds were observed in the county of Constance, and wecomplemented this knowledge with some taxonomic and trait information inthe fourth post of theseries. Now,we could be curious about the occurrence of these birds in scientificwork. In this post, we will query the scientific literature and an openscientific data repository for species names: what have these birds beenstudied for? Read on if you want to learn how to use R packages allowingto do so! Getting a list ... Read More

Feed: Liquid Web. Author: Cody Landefeld; Automation takes over monotonous tasks no one wants to do like data entry — boring work that doesn’t encourage accuracy, either. As an eCommerce store owner, you probably don’t have time for this anyway. Luckily, the eCommerce automation software you’re using almost certainly has eCommerce automation tools that can complete routine tasks quickly and accurately.So let’s talk about time-saving (and possibly sanity-saving) eCommerce automation tools starting with those that handle key items for running a smooth online operation.Automate Inventory ManagementIf you’re selling goods (as opposed to services) online, it’s all about inventory. You’ve got ... Read More

Feed: R-bloggers. Author: Rstats on Julia Silge. Topic 28 0.067 like, really, good, something, thats, thing, well Topic 44 0.050 people, dont, think, know, even, just, didnt Topic 37 0.049 get, time, better, go, going, youre, probably Topic 33 0.042 can, want, see, cant, find, someone, without Topic 47 0.037 ive, never, got, interesting, always, thought, found Topic 43 0.031 doesnt, say, mean, yes, agree, fact, exactly Topic 40 0.028 use, using, used, need, works, instead, user Topic 15 0.023 years, article, two, first, ago, days, started Topic 10 0.023 one, problem, hard, another, issue, problems, needs Topic 20 0.020 ... Read More

Feed: Planet MySQL; Author: MySQL Performance Blog; Jervin Real | September 7, 2018 |  Posted In: Amazon Aurora, AWS, Insight for DBAs, MySQL, Technical Webinars PREVIOUS POST Please join Percona’s Senior Consultant, Jervin Real, as he presents Migrating to AWS Aurora: A Checklist for Success. The event will take place on Tuesday, September 11th, 2018, at 11:00 AM PDT (UTC-7) / 2:00 PM EDT (UTC-4). In the last few weeks, we have shown you how to successfully migrate from on-premise MySQL installations to AWS Aurora. What comes next is how to successfully ensure that your Aurora cluster performs and operates as you expect ... Read More