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Видео на тему: MySQL Разработка систем управления персоналом - видео

Как правильно читать название моего канала Twitch: https://go.twitch.tv/georglider23 VK: https://vk.com/videos284124188 GoodGame: https://goodgame.ru/user/1056459 Periscope: https://www.pscp.tv/Georglider Соц. Сети: VK: https://vk.com/georglider23 Facebook: https://www.facebook.com/profile.php?... Twitter: https://twitter.com/Georglider23 Instagram: https://www.instagram.com/georglider23/ Пожалуйста не спамьте в комментариях. Не рекламируйте ничего. Давайте уважать друг друга! Mr Georglider ©1Like= Understand the concept (visit my website for more www.tableauinfo.com) ? Just For U Links ► https://www.tableau.com/2020-3-features#feature-135055 You can do below with 2020.3 now I would like an equivalent to the SQL 'IN' operator. Currently, the only way to compare a list of values is by using an OR operator. This is very cumbersome when comparing a large list of values. For example: IF [Country]='HONDURAS' OR [Country]='MEXICO' OR [Country]='PERU' OR [Country]='COLUMBIA' OR [Country]='ARGENTINA' THEN 'AMERICAS' ELSE 'OTHER' END What I am used to doing in SQL is this: IF [Country] IN ('HONDURAS','MEXICO','PERU','COLUMBIA','ARGENTINA') THEN 'AMERICAS' ELSE 'OTHER' END ?Contact ►http://www.tableauinfo.com/contact-us... ? Learn more about Tableau ► http://tableauinfo.com ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ? CONNECT WITH ME ON SOCIAL Facebook ► https://www.facebook.com/tableauinfo/ Twitter ► https://twitter.com/RiteshBisht01 Linkedin ► https://www.linkedin.com/in/ritesh-bi... Tableau Community ►https://community.tableau.com/people/... ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ? ABOUT ME: My name is Ritesh, a Data Science enthusiast & trainer, ranked as high as 15th in the Tableau World Community, I hold both Tableau Desktop Qualified and Server Qualified certifications. I love to train people and blog@tableauinfo.com ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Please leave all questions and comments in the contact section or visit our website:Source code : https://drive.google.com/file/d/1DPuyI6sjs3kUHNaOrB7CtAWjCKaVM7sr/view?usp=sharingWelcome To Code Bengali Channel we will see MongoDB GUI Compass Introduction . ***************** Must Watch Video ****************** ➡️ Miles to kilometers Convert --:https://youtu.be/ofNI178nJ74 ➡️ Celsius to Fahrenheit Convert --:https://youtu.be/Bv0ZYevuS7A ➡️ string Length find --:https://youtu.be/_19bsUrgXe0 ➡️ string include method--:https://youtu.be/vhE2JSVNx-M ➡️ startsWith and endsWith--:https://youtu.be/6d_VnARbIG8 ➡️ Search method--:https://youtu.be/wy9MjFj0Yj8 ➡️ String match Method --:https://youtu.be/yEhQnzc_2sw ➡️ Spread Operator in JavaScript --:https://youtu.be/z7SPNA1cxvU ➡️ Spread Operator in Object--:https://youtu.be/mDU_5aEqalo ***************** React JS Tutorial ****************** ➡️ React JS Environment Setup --:: https://youtu.be/8A92a534MZU ➡️ React Folder Structure And NPM --:: https://youtu.be/Gv4t40FAhfM ➡️ React JSX and React Render --:: https://youtu.be/v-MnPDHkvO4 ➡️ Fragments in React --:: https://youtu.be/zBQfCRx2tss ➡️ Expressions in JSX --:: https://youtu.be/H2Utml_uxg4 ➡️ JSX Attribute in React --:: https://youtu.be/a929qR_YvgM ➡️ CSS in React JS--::https://youtu.be/tqIGMppDMxs ➡️ Google Fonts in React JS--::https://youtu.be/yVfnRdcQGJ4 ➡️ internal And inline Css--::https://youtu.be/SxkPCb2ZnuU ➡️ Components in ReactJs--::https://youtu.be/QM-IPrQTxHU ➡️ Props in ReactJs--::https://youtu.be/XjwoTpaZEuU ➡️ Array of an object in ReactJs-::https://youtu.be/SMssq8cPFFQ ➡️ map Method in ReactJs-::https://youtu.be/VEY1YQN5afM ➡️if else statement in React JS-::https://youtu.be/RGDNiU0HXfU ➡️React Developer Tool-::https://youtu.be/qo34sBw-34c ➡️Create Digital Clock In ReactJs-::https://youtu.be/Mfc9mTs3IDc ➡️Bootstrap use in React-::https://youtu.be/d7Ir_denUl4 ➡️Display data using input field p--1-::https://youtu.be/5UrpcU-o8II ➡️Display Data using input Field part--2-::https://youtu.be/jP4F-nAcAc0 ➡️Live Photo Search On React-::https://youtu.be/WQ8j9kcAzLE ➡️useEffect Hook in React js::https://youtu.be/apzMqnfgNZM ➡️React Router in ReactJs part-1::https://youtu.be/Jk_AnWS0BZ4 ➡️React Router in ReactJs part-2::https://youtu.be/_IkEsJ8K8xY ➡️React Router in ReactJs part-3:https://youtu.be/bywM_vRl4Vo ➡️React Router in ReactJs part-4:https://youtu.be/m7ppxX7et8w ➡️React Router in ReactJs part-5:https://youtu.be/2yx-bMuEoYk ➡️Nested Routes and Shared Routing:https://youtu.be/V19UPOrbKPk ➡️index props in react router--https://youtu.be/P_xTJh5t5Io ***************** Node JS Tutorial ****************** ➡️ Install Node JS Node.JS Script--::https://youtu.be/QNKQAkSMKcY ➡️REPL in NodeJS--::https://youtu.be/pH8aQWabYxI ➡️REPL in NodeJS Module and method--::https://youtu.be/AkfjMYXQN-s ➡️File System Module in Node.js--::https://youtu.be/3n8iVyip3r8 ➡️Async File System Module in Node.js--::https://youtu.be/YZaKskagXDI ➡️Path Module in Nodejs--::https://youtu.be/fA27pDiJnD0 ***************** Python Tutorial ****************** ➡️Python install Print Hello world in --::https://youtu.be/6AcKPWCIq_c ➡️Python Comments and Variables --::https://youtu.be/Vnyrp6diCz0 ➡️Variables Creating Rules in Python --::https://youtu.be/x4DyKgzBK5A ***************** Express Tutorial ****************** ➡️Express install and creat server --::https://youtu.be/AtP6MXuvT_w ➡️Express Routing and Nodemon --::https://youtu.be/7FWYQ9mGtOo ➡️Send Html Data as a Response --::https://youtu.be/6XdWybFE_mY ➡️Send JSON and Object Data --::https://youtu.be/N03_nYA0oHw ➡️Website Host using Express --::https://youtu.be/bSf3CHzecwo ➡️Template engine Express hbs --::https://youtu.be/2NIaPzrrbUE ***************** MongoDB Tutorial ****************** ➡️MongoDB installation--::https://youtu.be/oEAHrhdQxw0 ➡️Create Database Collections--::https://youtu.be/9_VPw6pysok ➡️Specific Queries Oparation--::https://youtu.be/KU5QkZtaPl8 Please support my channel by SUBSCRIBE to my channel and share my videos in your Social Network.Продолжаем прохождение Crusader Kings 3. В этой серии нам предстоит грабить соседние земли, основывать новые королевства и двигаться в направлении основания Империи. #Crusaderkings3 #crusaderkings3прохождение #GarantineThe speaker, Chander Dhall, is the CEO of Cazton and has experience in data modeling and partitioning with Microsoft Azure Cosmos DB. His company Cazton uses 30+ patterns for NoSQL databases including Azure Cosmos DB and MongoDB. In this presentation he demonstrates data modeling and partitioning and suggests using problem-specific patterns to optimize request time and query speed. Dhall illustrates the importance of good data modeling by showing examples of real-life problems that arise when designing a database. He notes that by using the right data modeling patterns, total request time can be reduced by up to 75-86% and query time and output document size can be improved by 99%. For more information visit cazton dot com.Донат- https://donatello.to/JOKER Донат- https://new.donatepay.ru/@1039002 Привет, меня зовут Ваня Я Живу В УКРАИНЕ.!!! на моем канале я провожу стримы по разным играм . Присаживайся поудобнее - будем вместе хорошо проводить время и общаться.ЙОУ Ребят всем здарова! Дружище, если тебе не сложно.... Можешь лайк поставить? :3 Cпасибо!!!! мой вк - https://vk.com/loloki_ez Там могу дать информацию по сьемкам и дать ссылку на дискорд сьемок. Еще раз спасибо за лайк,друг! Discord - НубикТВ#2695 #НубикТВ #BedWars #BGAEliot Horowitz, MongoDB, at AWS Re:Invent 2013 2013 with John Furrier and Dave Vellante DevOps and MongoDB have a few things in common. According to Eliot Horowitz, the co-founder and CTO of the database company, both deliver on the promise of accelerating time-to-market by enabling developers to focus on their ideas instead of getting bogged down in plumbing. He dropped by theCUBE at Amazon's landmark re:Invent 2013 summit to elaborate. In contrast to traditional databases, MongoDB is based on a document data model that makes it easier for users to store and interact with their information. But while the platform differs from relational systems architecturally, it employs the same indexing functions to streamline migration, Horowitz says. He reflects that MongoDB was originally created for internal use to simplify application development. The platform is new compared to the more established products on the market and it has received a fair share of criticism, but Horowitz says that a lot of progress is being made in addressing user concerns. The issues that prompted some practitioners to complain about the scalability of MongoDB have been solved, he continues. The company is continuously improving its offering to compete in the cutthroat NoSQL market, which Horowitz believes will be consolidated over the next few years. "I definitely think that there will be consolidation, and I think that there will be consolidation in two ways: one is the number of database vendors, and two is right now you have this mentality of 'I'm just gonna try a different database for every different problem I have,'" he says. "The days of one database for all my problems is definitely gone, you're not gonna have companies betting everything on a single database, but I don't think companies are gonna have 20 different operational data stores, they're gonna want to have three, maybe four." The databases in tomorrow's enterprise will include a batch processing system, a relational solution, a platform like MongoDB for sorting loosely related information such as entity data, and possibly a lightweight key-value store, Horowitz predicts. Check out the interview for more on developer productivity and MongoDB use cases. @thecube #AWSreinventDatabases: Isn't contradictory that MongoDB may lose updates with journaling in WiredTiger? 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 Vegan Sv (dba.stackexchange.com/users/80807), user gabrielgiussi (dba.stackexchange.com/users/84804), and the Stack Exchange Network (dba.stackexchange.com/questions/133140). 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.comсериал //друг моего брата//канал денлона https://youtube.com/@DenlonYTnew?feature=share8Sin audio, win 7, operaciones utilizadas, db.createCollection, find(), insertOne(), updateOne(), deleteOne()Free and popular NoSQL databases MongoDB This highly scalable and agile NoSQL database is an amazing performing system. This open source database written in C++ comes with storage that is document oriented. Also, you will be provided with benefits like full index support, high availability across WANs and LANs along with easy replication, horizontal scaling, rich queries that are document based, flexibility in data processing and aggregation along with proper training, support, and consultation. Redis This is an open source, key-value store of an advanced level. Owing to the presence of hashes, sets, strings, sorted sets and lists in a key; Redis is also called as a data structure server. This system will help you in running atomic operations like incrementing value present in a hash, set intersection computation, string appending, difference and union. Redis makes use of in-memory dataset to achieve high performance. Also, this system is compatible with most of the programming languages. Couch DB Couch DB Couch DB is an Apache project and a really powerful database for JSON based web applications. This database provides a really powerful API to store JSON objects as documents in the database. You can use JavaScript to run MapReduce Queries on CouchDB. It also provides a very convenient web-based administration console. This database could be really handy for web applications. RavenDB RAVENDB is a second generation open source DB. This DB is document oriented and schema-free such as you simply have to dump in your objects into it. It provides extremely flexible and fast queries. This application makes scaling extremely easy by providing out-of-the-box support for replication, multi-tenancy, and sharding. There is full support for ACID transactions along with the safety of your data. Easy extensibility via bundles is provided along with high performance. MemcacheDB This is a distributed storage system of key value. It should not be confused with a cache solution; rather, it is a persistent storage engine which is meant for data storage and retrieval in a fast and reliable manner. Confirmation to Memcache protocol is provided for. The storing backend that is used is the Berkeley DB which supports features like replication and transaction. Riak This is one of the most powerful, distributed databases ever to be introduced. It provides for easy and predictable scaling and equips users with the ability for quick testing, prototyping and application deployment so as to simplify development. Neo4j This is a NoSQL graph database which exhibits a high level of performance. It comes well equipped with all the features of a robust and mature system. It provides the programmers with a flexible and object-oriented network structure and allows them to enjoy all the benefits of a database that is fully transactional. Compared to RDBMS, Neo4j will also provide you with performance improvements on some of the applications. HBASE HBase can be easily considered as a scalable, distributed and a big data store. This database can be used when you are looking for real-time and random access to your data. It comes with modular and linear scalability along with reads and writes that are strictly consistent. Other features include Java API that has easy client access, table sharding that is configurable and automatic, Bloom filters and block caches and much more. Perst This is an object-oriented DBMS that is open source and has a dual license. With this, you will be able to store, sort and retrieve data in your applications with low overhead storage and memory and very high speed. HyperGraphDB This is an open source data storage system that is extensible, distributed, general purpose, portable and embeddable. Basically, this is a graph database which is mostly meant for AI, Semantic web projects and knowledge representation; it can also handle Java projects of different sizes. Cassandra Cassandra In case you are looking for high availability and scalability without compromising on performance, then Cassandra database is the thing for you. It is a perfect data platform characterized by fault tolerance and linear scalability along with best in class replication support. Voldemort This is an automatically replicating distributed storage system. It provides for automatic partitioning of data, transparent handling of server failure, pluggable serialization, independence of nodes and versioning of data items along with support for data distribution across various centers. Terrastore This is a modern document store that facilitates elasticity features and high scalability without compromising on consistency. This system is based on a fast, clustering technology that is industry proven. It can support deployments that are single or multi clustered and can be accessed through HTTP protocol. 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Copyright Disclaimer under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. ****************************************************************************************************MongoDB is a great database technology. In this mongodb crash course I will use the mongodb shell to teach your all the different commands and give quizzes at end of each video topics. This course will contain all of the CRUD operations and needed theory to understand what we are doing and why. Installation Guide Links: ============================================= Windows: https://zarkom.net/blogs/how-to-install-mongodb-for-development-in-windows-3328 Mac: https://docs.mongodb.com/manual/tutorial/install-mongodb-on-os-x #install-mongodb-community-edition https://www.youtube.com/watch?v=DX15WbKidXY Ubuntu: https://docs.mongodb.com/manual/tutorial/install-mongodb-on-ubuntu #install-mongodb-community-edition-using-deb-packages https://www.youtube.com/watch?v=b089GmAvUyQ ============================================================ MongoDB Download Link: https://www.mongodb.com/try ==============================================Text File Script: @echo off cd "C:\mongodb\bin" start mongod.exe timeout 4 start mongo.exe exit ============================================================ Timestamps: 0:00 Introduction and Course Roadmap 1:58 NoSQL vs SQL structure 3:06 What is MongoDB? 4:08 Installation 7:04 Using MongoDB Shell I really hope you are excited about this Crash Course if this series does well i might try one on other technologies as well. Let me know of what you think in the comments down below. My personal website ================= https://www.thefullstackjunkie.comParkhour is designed to give end-user hassle-free experience in finding and reserving parking space. Parkhour automatically detects the nearest parking space for user to reserve. When user makes a reservation, user will be given the shortest route to the designated location with only a tap on their phone. Parkhour will then secure a parking space with real-time detection so that user won’t have to worry about losing the space even before they arrive at the building. To make it even more convenient, Parkhour provides a payment system for the customer. 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