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Новые видео из канала RuTube на сегодня - 21 April 2026 г.
Новые видео из канала RuTube на сегодня - 21 April 2026 г.
Continuação da aula anterior com demonstração prática de como usar o banco de dados Neo4J para montar um grafo de propriedades a partir de arquivos externos em formato CSV. Continuação do exemplo de medicamentos e doenças. Dados recuperados a partir do FAERS (FDA Adverse Event Reporting System) - https://open.fda.gov/data/faers/ e DRON (The Drug Ontology) - https://bioportal.bioontology.org/ontologies/DRON. Relacionando medicamentos com patologias. Uso do MERGE combinado com atribuição de valores (SET) para construir arestas com pesos. Condições no WHERE e expressões regulares para caminhos. Projeção de grafos para um formato homogêneo relacionando medicamentos a partir de doenças tratadas em comum.Neo4j is a highly scalable, robust (fully ACID) native graph database. Neo4j is used in mission-critical apps by thousands of leading startups, enterprises, and governments around the world. The Agenda for the session includes: What is a Graph ? What is Neo4j ? Building blocks of a Graph DB Data Modeling : SQL vs. Graph Use cases: Social Media Installation of NeoFor Devsisters, the Korean gaming company, uptime is a core requirement for online games. Because of the popularity of their games Devsisters has learned about the challenges of scale. CockroachDB is a critical part of this highly resilient tech stack and ChangWon and Pierre speak to their experience scaling their game without downtime. Featuring: ChangWon Lee, DevOps Engineer; Devsisters Pierre Ricadat, Technical Lead; Devsisters 0:00 Intro 1:15 What is CookieRun: Kingdom 2:00 Architecture of a video game 2:49 Event sourcing for gaming architecture 4:34 Gaming database usage patterns 5:48 Launch setup for the game 7:55 Disaster outbreak 1 10:08 Disaster recovery 1 14:14 Disaster outbreak 2 15:36 Disaster recovery 2 16:40 Disaster outbreak 3 17:38 Disaster recovery 3 18:49 Key takeaways 22:01 A story to end with... 23:00 Wrap-up Download the slides from this presentation from this link: https://www.cockroachlabs.com/roachfest/ Learn more about their use case from this case study: https://www.cockroachlabs.com/customers/devsisters/ #CockroachDB #distributedsql #devsisters #cookierunkingdom #cookierunovenbreakThe 2022 Cloud Report is the only cloud performance report to compare AWS, Azure, and GCP on benchmarks that reflect critical applications and workloads. In this session we sit down with the team who creates this annual report and chat: • Why would we recommend many smaller nodes rather than a few large nodes? • Which clouds offer more freebies? • When evaluating price efficiency, which drives more cost: storage or transfer… and does intra-AZ make a difference? • How to get the best performance from each cloud? • And finally, what’s going on in the AMD vs Intel horse race? We encourage everyone to check out the report: https://www.cockroachlabs.com/guides/2022-cloud-report/Whether it's statistics, weather, astronomy, finance, or network management, time series data plays a critical role in analytics and forecasting. Unfortunately, while many tools exist for time series storage and analysis, few are able to scale past memory limits, or provide rich query and analytics capabilities outside what is necessary to produce simple plots; For those challenged by large volumes of data, there is much room for improvement. Apache Cassandra is a fully distributed second-generation database. Cassandra stores data in key-sorted order making it ideal for time series, and its high throughput and linear scalability make it well suited to very large data sets. This talk will cover some of the requirements and challenges of large scale time series storage and analysis. Cassandra data and query modeling for this use-case will be discussed, and Newts, an open source Cassandra-based time series store under development at The OpenNMS Group will be introduced. Eric Evans The OpenNMS Group @jericevans Eric has more than a decade of experience in large-scale distributed systems, having held roles in both operations and engineering. An early employee of Rackspace, he implemented a global DNS infrastructure utilizing IP anycast (possibly the first), and a novel data-center-wide IDS for which a patent was awarded. An avid open source hacker, Eric is a developer with the Debian Project and a member of the Apache Cassandra PMC. He resides in Texas and works on distributed systems for The OpenNMS Group.In this video, I will show you how to use LiDAR and orthophoto data to create a stunning 3D city map using rayshader in R. LiDAR is a remote sensing technology that uses laser pulses to measure the distance and elevation of objects. An orthophoto is a type of aerial photograph that is geometrically corrected to have a uniform scale and perspective. By combining these two data sources, we can create realistic and detailed 3D city models! 0:00 Intro 00:51 Packages 02:24 LiDAR data 05:36 Get LiDAR data 09:21 Orthophoto data 10:44 Fetch coordinates 13:34 Buffer 14:28 Clip rasters 15:56 Resample LiDAR data 17:21 Save overlay image 18:30 Fill missing values 21:58 Render scene 24:47 Render object 27:41 Final word Some national LiDAR sources Canada: https://open.canada.ca/data/en/dataset/957782bf-847c-4644-a757-e383c0057995 Finland: https://asiointi.maanmittauslaitos.fi/karttapaikka/tiedostopalvelu?lang=en Netherlands: https://geotiles.nl/ ____________________________________________________________ Check the full code in my GitHub repo: https://github.com/milos-agathon/make-your-3d-city Follow my work on Instagram: https://www.instagram.com/milos_makes_maps Let's connect on X: https://twitter.com/milos_agathon If you like my work, consider buying me a coffee: https://www.buymeacoffee.com/milospopovic Music credits: --------------------------------------------------------------------------------------------------- Music By: massobeats - serenity @ https://www.youtube.com/watch?v=pucXMAL6pug&t=0s Original upload HERE - https://www.youtube.com/watch?v=pucXMAL6pugView full lesson: http://ed.ted.com/lessons/how-the-konigsberg-bridge-problem-changed-mathematics-dan-van-der-vieren You’d have a hard time finding the medieval city Königsberg on any modern maps, but one particular quirk in its geography has made it one of the most famous cities in mathematics. Dan Van der Vieren explains how grappling with Königsberg’s puzzling seven bridges led famous mathematician Leonhard Euler to invent a new field of mathematics. Lesson by Dan Van der Vieren, animation by Artrake Studio.Objects can have relationships with other objects. In Parse, there are a number of really easy ways to implement these relationships. In this video, we'll look at the different scenarios for which you will want to create relationships, show you how to implement each of them in Parse, and then discuss some of the circumstances for when you would want to choose one over the other, and the tradeoffs in doing so.Max De Marzi, Field Engineer, Neo Technology:Graph databases are a popular choice for online recommendation engines for their flexibility in storing social data. Organizations like Walmart are turning to Neo4j to manage their online recommendation systems and provide social elements to their users.by Hannes Voigt At: FOSDEM 2018 Room: H.2214 Scheduled start: 2018-02-03 13:30:00+01In diesem Video zeige ich, wie Daten von der Neo4J Datenbank mittels Cypher abgefragt werden können. Neo4J Tutorial Playlist https://youtube.com/playlist?list=PLNm1BoGDChIIrggbNX3dbEjMJZQNwnXNJLearn the significance of the label property for vertices and edges when building an azure cosmos graph database. $10.99 Course Coupon: https://www.udemy.com/learn-cosmos-db-gremlin-api/?couponCode=YTB2019PROM1 This is lesson 31 of my Udemy course entitled: "Learn Cosmos db Gremlin API by building a .NET Core REST API."Neo4J+Cypher: with, collect, unwind, библиотека APOC, списки, кратчайший путь в графе,Recommendation Algorithms, slides #1 ~ 10 Code: https://github.com/louisyang2015/movie_recommender 00:30 - Technologies Used 07:15 - Linear Model 09:15 - ALS Model 11:13 - ALS Solution 13:10 - ALS Sparse Matrix 14:55 - Solving ALS in Python 20:00 - Rank Agreement Percentage 25:35 - Algorithms (100k dataset) Overview 32:40 - Tag Counting Algorithm 38:50 - LS Tag Algorithm 46:55 - ALS Algorithm 55:35 - Baseline Algorithms - median and average 58:40 - Similar Movies 1:07:47 - Title Search 1:18:35 - Movie Median vs Movie Average (as a bias term)ZippyDB: a modern, distributed key-value data storeIn this short video we'll show you how to stream data from Zeek, a popular intrusion detection system, into the Neo4j graph database. The graph database allows us to spot patterns and anomalies in network traffic. Related blog article: http://woolford.io/2019-12-11-zeek-neo4j/The latest version of NoSQL Workbench for Amazon DynamoDB can generate human-readable sample data for realistic demos or to test your application's access pattern. Let's take a quick look. #dynamodb #nosql #testing #amazonwebservices #serverless #awsjunkie #srccodes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Connect with Abhijit Ghosh on Social Media: https://www.linkedin.com/in/abhijitghosh/ https://twitter.com/AbhijitGh0sh https://www.awsjunkie.com/ https://www.srccodes.com/Alessandro Amidani Svensson, Solutions Team, and William Lyon, Developer Relations Team, Neo4j:This webinar focuses on the particular use case of graph databases in Network & IT-Management. This webinar is designed for people who work with Network Management at telecom companies or professionals within industries that handle and rely on complex networks.Databases: IBM DB2 Timetravel logging based on some criteria Helpful? Please support me on Patreon: https://www.patreon.com/roelvandepaar With thanks & praise to God, and with thanks to the many people who have made this project possible! | Content (except music & images) licensed under CC BY-SA https://meta.stackexchange.com/help/licensing | Music: https://www.bensound.com/licensing | Images: https://stocksnap.io/license & others | With thanks to user Yogesh Chavan (dba.stackexchange.com/users/133413), user Paul Vernon (dba.stackexchange.com/users/155056), and the Stack Exchange Network (dba.stackexchange.com/questions/223209). Trademarks are property of their respective owners. Disclaimer: All information is provided "AS IS" without warranty of any kind. You are responsible for your own actions. Please contact me if anything is amiss at Roel D.OT VandePaar A.T gmail.com