Инфраструктура данных - видео - все видео
Новые видео из канала RuTube на сегодня - 20 April 2026 г.
Новые видео из канала RuTube на сегодня - 20 April 2026 г.
Neste vídeo, vou te ensinar como criar e configurar o AWS Neptune na prática, que é o Banco de Grafo da Amazon Web Services. Você entenderá porque as principais características desse banco de dados são redundância, resiliência, escalabilidade, backup automático e, o fato de ser gerenciado pela AWS. Você vai aprender mais detalhes sobre a linguagem Gremlin do Apache TinkerPop, como consumir sua instância do AWS Neptune a partir de uma VPC (Amazon Virtual Private Cloud) ou de um ELB (Elastic Load Balancer) e como utilizar o Gremlin Visualizer para rodar querys, fazer testes e entender melhor sobre o funcionamento do banco de grafo e como ele gerencia os registros inseridos nele. ? Outros vídeos citados: - SQL vai morrer! | Quem substituirá o Banco de Dados Relacional?: https://youtu.be/75YB17HuyuQ - ORM - Usar ou não para conectar com Banco de Dados? | Mapeamento Objeto-Relacional: https://youtu.be/vPrC1jpwc8c - Contribuindo com Comunidade Opensource com AWS Neptune Connector para Loopback: https://youtu.be/jGij-UVyCys ____________________________________________________________________________________ Playlist Completa Curso AWS na Prática - https://www.youtube.com/watch?v=j6yImUbs4OA&list=PLOF5f9_x-OYUaqJar6EKRAonJNSHDFZUm ____________________________________________________________________________________ Seja membro: https://www.youtube.com/channel/UC2XpRp9gpbMFK4kS06u7jkQ/join LinkedIn: https://www.linkedin.com/in/wesleymilan/ Podcast: https://bit.ly/3qa5JH1 Instagram: https://bit.ly/3tfzAj0▶︎目次 00:00 オープニング 00:12 DynamoDBってどういうもの? 00:59 DynamoDBとは 01:08 DynamoDBとRDBの違い 03:48 ツール面の違い 05:33 データ作成、変更がどうなるのか 07:26 検索、ソート、ページングの違い 12:39 やっすん×企業コラボ # やっすんx企業コラボ エンタメ好きエンジニア必見! playgroundの紹介! 転職に興味のある方はこちら! https://playground.yassun.dev/?utm_source=youtube&utm_medium=web&utm_campaign=T9XO2VA99Vc ▶︎ Twitterフォローお願いします! https://twitter.com/yassun_youtuber ▶︎ Qiitaはこちら! https://qiita.com/yassun-youtube ▶︎ 同人誌を出しました! ぜひ読んでみてください! ## TypeScriptの入門書 https://yassun.booth.pm/items/3186532 ## Serverlessの入門書 https://techbookfest.org/product/6282121133948928?productVariantID=4919415386669056 #aws #dynamodb #nosql #rds #amazon #やっすん #れい先生Emil Eifrem, CEO, Neo4j and the Neo4j Product Team:Join Emil Eifrem and the Neo4j product team for this special live event to learn about Neo4j 3.x series with a deep dive on Neo4j 3.1. Neo4j 3.1 introduces a new clustering architecture that enables very large clusters of Neo4j to be deployed across data centers while maintaining the data integrity that is is critical for your production data.Meeting Summary: The community and contributors remain focussed on the 4.0 release. There was broad consensus that we want to keep working towards the 4.0 QA Test Plan and a call for contributors to sign up for major components. We also touched on a number of other process discussions and agreed to take a few discussions to the mailing list. All meeting notes can be found here: https://cwiki.apache.org/confluence/display/CASSANDRA/Apache+Cassandra+Contributor+Meeting[ About ] ‧ https://twitter.com/0xEnleak ‧ https://enleak.github.io/ This is purely educational content.URL: https://www.fravo.com/C2090-317-exams.html IBM C2090-317 Questions & Answers are updated and all C2090-317 all products are 100% tested by our subject experts who have years of experience in the industry. Our Pdf & test engines comes with free 365 days update so rest assured , you are getting latest C2090-317 exam questions.PyData Tel Aviv Meetup #17 7 November 2018 Sponsored and hosted by SimilarWeb https://www.meetup.com/PyData-Tel-Aviv/ www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestampsYahoo! has been using HBase for a long time in isolated instances, most notably for the personalization platform powering its homepage experiences. The introduction of multi-tenancy has lowered the barriers for all Hadoop users to use HBase. We will cover traditional use cases for HBase at Yahoo!, and new use cases as a result in content management, advertising, log processing, analytics and reporting, recommendation graphs, and dimension data stores. We will then talk about the deployment strategy and enhancements made that facilitate multi-tenancy. Region Server groups provide a coarse level of isolation among tenants by designating a subset of region servers to serve designated tables, and Namespaces for logical grouping of resources (region servers, tables) and privileges (quota, ACLs). We'll also share our experiences in operating HBase with security enabled and contributions made in this area, and results from performance runs conducted to validate customer expectations in a multi-tenant environment. URL: http://www.cloudera.com/content/cloudera/en/resources/library/hbasecon/hbasecon-2013--multi-tenant-apache-hbase-at-yahoo-video.htmlRavenDB is a database that solves the biggest problems enterprises and small businesses encounter before they even encounter them. RavenDB allows you to set up and secure a distributed database cluster in minutes with a low overhead database that does the work for you. Hosts: Randal Schwartz, Jonathan Bennett Guest: Oren Eini Download or subscribe to this show at https://twit.tv/shows/floss-weekly Here's what's coming up for FLOSS in the future. Think your open source project should be on FLOSS Weekly? Email Randal at merlyn@stonehenge.com Thanks to Lullabot's Jeff Robbins, web designer and musician, for our theme music.Key takeaways from the session 1) Understanding Graphs 2) Applications of Knowledge Graphs 3) Building a basic Knowledge Graph in Python The session will be delivered by Vinodhini Ranganathan. Vinodhini is a Senior Data Scientist @Cisco and has over 14 years of industry experience. She earned her Executive Graduation in Business Analytics from Indian Institute of Management, Bangalore and Bachelors in Computer Science Engineering from Anna university. She is a visiting faculty in the Data science area for reputed academic institutions across India. With a passion for research, she has published articles and case studies in the Harvard Business Review, Analytics India Magazine and the Journal of Natural Language Processing among others. Her research interests include Knowledge Graphs, Natural Language Processing and social media analytics. ---- Connect with us: Website: https://dphi.tech LinkedIn: https://www.linkedin.com/company/dphi Instagram: https://www.instagram.com/dphi.tech Facebook: https://www.facebook.com/dphi.tech Twitter: https://twitter.com/dphi_techAmazon AWS | Continuous Backup with PITR - Hands on | Amazon DynamoDB and DAX In this demo, let's look at how to use the Continuous backups with PITR. Say, this is our game play table, and let's go to the Backups tab. #PITR #amazonaws #dynamodbPolyglot Persistence for Microservices using Spring Cloud and Neo4j Kenny Bastani, Spring Developer Advocate and Josh Long, Spring Developer Advocate, Pivotal2015 Final Project - HBase is a real-time column-oriented database - CSCI-E63 Big Data Analytics, Harvard Extension SchoolSummit Lunch & Learn: IBM i Services for RPGers --AND-- Build a Phenomenal Web App on IBM i in Under 10 Minutes - No Coding Required! IBM i Services for RPGers with Susan Gantner IBM i Services were initially focused on system administration. Recently many have been added that RPGers may find far more interesting. Provided by a set of SQL views, functions and procedures, these services allow access to things that previously required system APIs or CL commands. They are easier, more powerful ways to retrieve information about application-related objects with the power of SQL (think SELECT ... WHERE ... GROUP BY, etc.) A few examples: - Obtain lists of modules in ILE programs or SRVPGMs - Read and write to IFS files - Interact with Data Areas or Data Queues - Grab contents of spooled files and/or delete old spooled files --------------- AND --------------- Build a Phenomenal Web App on IBM i in Under 10 Minutes - No Coding Required! with Robert Swanson The Valence Framework for IBM i, available for free download, includes a browser-based low-code development utility called Nitro App Builder (NAB), through which anyone with a solid understanding of their IBM i database can create dazzling web or mobile apps, including dashboards and data grids with download-to-Excel functionality, all in a matter of minutes! Running entirely on IBM i, the NAB tool can also be used to create intricate file maintenance apps, through which users can adjust content in one or more physical files - you control which fields they can see and/or edit. All of this can be achieved with no coding, though IBM i developers can easily extend the app's functionality with RPG or SQL code to handle business logic as needed. Advanced programmers comfortable with HTML5 and JavaScript code can take things even further, creating super elaborate data-entry apps that work hand-in-hand with server-side RPG logic through the Valence Portal.Working on enhancing CockroachDB's health API. -- Watch live at https://www.twitch.tv/kena42 Music: "One" and "Minecraft Beta" by C418 - https://c418.org Music: "Fastfall" by Lifeformed - https://lifeformed.bandcamp.com/album/fastfall Music: "Marble Machine" and "Starmachine2000" by Wintergatan This track can be downloaded for free at https://wintergatan.net Free License to use this track in your video can be downloaded at https://wintergatan.netMark Mulligan, senior DBA for a large insurance company talks about his experience with DB2 and his experience with IDUG.[Read]: Ultimate Guide to DynamoDB: https://serverless.com/dynamodb/ We will be using DynamoDB in our course. This video is meant as a gentle introduction to what DynamoDB is, why we should use it and how it works.In this video, we will dive into the differences between filtering documents in AWS DynamoDB using the Scan and Query operations. DynamoDB is a powerful NoSQL database service that offers scalability and high-performance, and knowing how to effectively filter data is crucial for optimizing your application's performance. Scan operation is a table-wide operation and it scans the entire table to return the matching items, which could be a performance bottleneck in large tables. Query operation, on the other hand, is used to retrieve a specific set of items from a table using a specified primary key. We will demonstrate how to use both operations. By the end of the video, you will have a better understanding of how to efficiently filter documents in DynamoDB and which operation to use based on your application's specific needs. This video is ideal for developers who are already familiar with the basics of DynamoDB and want to learn how to optimize their application's performance by efficiently filtering data. Whether you are building a new application or optimizing an existing one, the knowledge shared in this video will help you leverage DynamoDB's features to the fullest. Links to the repos: https://github.com/nim-f/rekognition-frontend https://github.com/nim-f/recognition-backend Other videos about DynamoDB: https://www.youtube.com/watch?v=NLDUmG0pbe4 https://www.youtube.com/watch?v=Bz6NiC5qXvk https://www.youtube.com/watch?v=AA06ikFUb98