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Database sharding is a technique used to optimize database performance at scale. It relies on separating data into logical chunks so that they can be separated and queried independently. Learn more about sharding in this video. Looking to get hands on experience building on AWS with a REAL project? Check out my course - The AWS Learning Accelerator! 🤍 📚 MY RECOMMENDED READING LIST FOR SOFTWARE DEVELOPERS📚 Clean Code - 🤍 Clean Architecture - 🤍 Head First Design Patterns - 🤍 Domain Driver Design - 🤍 Code Complete - 🤍 The Pragmatic Programmer - 🤍 Algorithms - 🤍 Working Effectively with Legacy Code - 🤍 Refactoring - 🤍 🎙 MY RECORDING EQUIPMENT 🎙 Shure SM58 Microphone - 🤍 Behringer UM2 Audio Interface - 🤍 XLR Cable - 🤍 Acoustic Sound Absorbing Foam Panels - 🤍 Desk Microphone Mount - 🤍 Logitech C920s Webcam - 🤍 Fujilm XS10 Camera - 🤍 Fujifilm XF 35mm F2 Lens - 🤍 Neewer 2 Piece Studio Lights - 🤍 💻 MY DESKTOP EQUIPMENT 💻 Dell 34 inch Ultrawide Monitor - 🤍 Autonomous ErgoChair 2 - 🤍 Autonomous SmartDesk 2 Standing Desk - 🤍 MX Master 3 Productivity Mouse - 🤍 Das Keyboard Prime 13 MX Brown Mechanical- 🤍 Veikk A15 Drawing Tablet - 🤍 🌎 Find me here: Twitter - 🤍 Instagram - 🤍 Patreon - Donations help fund additional content - 🤍 📚 References: Great Sharding Article - 🤍 #Databases #Sharding #SoftwareEngineer
Sharding a database is a common scalability strategy used when designing server side systems. The server side system architecture uses concepts like sharding to make systems more scalable, reliable and performant. Sharding is horizontal partitioning of data according to a shard key. This shard key determines which database the entry to be persisted is sent to. Some common strategies for this are reverse proxies. Database interviews ask for concepts like sharding to make databases more performant and available. This makes horizontal partitioning a logical choice. Looking to ace your next interview? Try this System Design video course! 🔥 🤍?source_id=youtubesharding Video lectures, architecture diagrams, capacity planning, API contracts and evaluation tests. It's a complete package. Horizontal vs. Vertical partitioning: 🤍 Consistent Hashing: 🤍 🤍 Sources: 🤍 🤍 🤍 🤍 Designing Data Intensive Applications - 🤍 #database #sharding #systemdesign
A part of set of Mongo database Videos.This video will give you a hands on session regarding Mongo Database Sharding. Here's what you will learn : First i'll be giving you an introduction to the concept of sharding and what benefit it brings to your mongo database.Then i would explain the architecture of a sharded mongo database and explain its various components. In next video i would showing hands on session on how to configure sharding in your mongo environment. This video is part of a playlist of videos on Mongo, you can subscribe to my channel and explore more videos on programming, database administration and much more. You can follow me on twitter 🤍HubVemara. Check out my blog : 🤍
Make sure you're interview-ready with Exponent's system design interview prep course: 🤍 Learn the basics of database sharding and partitioning in system design with this video! Database sharding and partitioning are both about breaking up a large data set into smaller subsets. Sharding implies that the data is spread across multiple databases, while partitioning usually implies dividing a table into multiple pieces based on some separation criteria. We'll explain the differences between these two concepts and when to use each one. Watch more system design videos here: Meta engineering manager answers a rate limiter interview question: 🤍 Google SWE answers an algorithms interview question: 🤍 Google TPM answers Tiktok system design interview question: 🤍 Flipkart EM “Design Amazon Prime Video” system design interview question: 🤍 👉 Subscribe to our channel: 🤍 🕊️ Follow us on Twitter: 🤍 💙 Like us on Facebook for special discounts: 🤍 📷 Check us out on Instagram: 🤍 📹 Watch us on TikTok: 🤍 ABOUT US: Want to land your dream career in tech? Exponent is an online community, course, and coaching platform to help you ace your upcoming system design interviews. Exponent has helped hundreds of thousands of candidates pursue and land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others. Our system design courses include interview lessons, questions, and complete answers with video walkthroughs. Get access to hours of real interview videos, where we analyze what went right or wrong, and our community of expert coaches and industry professionals to help you get your dream job and more! Chapters - 00:00 - Intro 01:18 - Sharding techniques 02:43 - Manual vs Automatic sharding 04:27 - Advantages of sharding 05:13 - Disadvantages of sharding
This is the twenty-first video in the series of System Design Primer Course. We talk about one more important component of System Design: Sharding. We want software engineers and aspiring software engineers to develop basics and get ready for the world of interviews as well as excelling as a Software Engineer. We talk about the following: Horizontal vs Vertical DB Partioning Logical vs Physical Shards Algorithmic vs Physical Sharding Pros and Cons of Sharding Recommendations Our full courses on youtube: ✒ System Design Primer Course: 🤍 ✒ REST APIs made easy:🤍 Some paid courses that we recommend: ✒Educative.io: 🤍 ✒Interviewready.io: 🤍 (Use coupon code SUDOCODE for extra discount) About Us Created and Instructed by: Yogita Sharma ✒ LinkedIn - 🤍 ✒ Instagram - 🤍 ✒ Facebook - 🤍 ✒ Medium - 🤍 Post-production(editing, thumbnail etc) managed by: CiKi ✒ Website: 🤍ciki.co.in ✒ LinkedIn: 🤍 Colors and design by: Naini Todi ✒ LinkedIn - 🤍 Both Arpit and Yogita are software engineers and want to help other software engineers become better by providing high quality and well researched content by adding their creativity and teaching twist. Join Us Hangout with sudoCode: ✒Discord Server: 🤍 For business: ✒Email: sudocode.yogita🤍gmail.com Timestamps: 0:00 - Intro 0:59 - What is Sharding ? 2:15 - Horizontal vs Vertical shards 5:46 - Logical Sharding vs Physical Sharding 8:58 - Advantages of Sharding 11:07 - Algorithmic and Dynamic Sharding 13:33 - Disadvantages of Sharding 16:06 - Some more important details about Sharding 16:40 - Outro
When it comes to Sharding in crypto, we are referring to splitting up a blockchain into many different pieces so that the entire network can scale to allow more transactions and data to be processed.
System Design for Beginners: 🤍 System Design for Experienced Engineers: 🤍 Become a member for exclusive in-depth videos: 🤍 Redis Internals: 🤍 Sharding and partitioning come in very handy when we want to scale our systems. These concepts operate on the database and help us improve the overall throughput and availability of the system. In this video, we take a detailed look into how a database is scaled and evolved through different stages, what sharding and partitioning are, understand the difference between them, see at which stage should we introduce this complexity, and a few advantages and disadvantages of adopting them. Outline: 00:00 Introduction and Agenda 03:05 How a database is progressively scaled? 08:10 Scaling beyond the limit of vertical scaling 11:57 Sharding vs Partitioning 12:43 Example of Data Partitioning 17:15 Sharding and Partitioning together 20:20 Advantages and Disadvantages of Sharding and Partitioning # Arpit's System Design Masterclass I teach a course on System Design where you'll learn how to intuitively design scalable systems. The course will help you - become a better engineer - ace your technical discussions - get you acquainted with a massive spectrum of topics ranging from Storage Engines, High-throughput systems, to super-clever algorithms behind them. I have compressed my ~10 years of work experience into this course, and aim to accelerate your engineering growth 100x. To date, the course is trusted by 500+ engineers from 9 different countries and here you can find what they say about the course. Together, we will build some of the most amazing systems and dissect them to understand the intricate details. You can find the week-by-week curriculum and topics, benefits, testimonials, and other information here 🤍 ### Other links CS Engineering and Software Development books that I have read 🤍 Research papers that I have read 🤍 Newsletter: 🤍 LinkedIn: 🤍 Twitter: 🤍 ### Things I use to make these videos Apple iPad Pro 12.9 Inch: 🤍 Apple Pencil 2nd Generation: 🤍 Boat Airdopes 621: 🤍 GoodNotes Notetaking App: 🤍 Until next time, stay awesome :) Yours truly, Arpit 🤍 #AsliEngineering
Sharding is a popular method of scaling a database without needing to replicate the whole dataset. In a distributed system, replication can place an undue burden on the network stack. Sharding mitigates that by reducing the number of replicas per record. As a software engineer, one of our primary concerns is latency. A database which can scale to meet increased demand is vital. Sharding is a key tool in the arsenal for scaling datastore. ——————————————————— About the channel: Sam x Smith This channel is dedicated to software engineering, programming and distributed systems learning & education. Technology defines every era, and computer science is the breakout technology of our time. Understand today. Build tomorrow. ——————————————————— FAQ Q: Do you have a blog? A: I write about distributed systems at samxsmith.com Q: What job do you do? A: I’m a distributed systems engineer. Q: What laptop do you use? A: I use both a MacBook Pro & a Lenovo ThinkPad. The latter runs Fedora Linux. Q: What programming languages do you use? A: I like to choose the best tool for the job. Day to day, I use Go(lang), Node.js, Rust & sometimes C. Q: What editor do you use? A: I mostly use VSCode. But for Go, I use Goland which is a fantastic Go-specific IDE by JetBrains.
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What is Sharding? Well, Sharding is a concept that is widely used in databases in order to make them more efficient. A shard is a horizontal portion of a database, with each shard stored in a separate server instance. This spreads the load and makes the database more efficient. In the case of the blockchain, each node will have only a part of the data on the blockchain, and not the entire information, when sharding is implemented. In this video, let's learn what crypto sharding in blockchain is, how sharding works, its pros and cons, and what alternatives can we opt for. Video Walkthrough, 0:00 Introduction 0:14 What is Sharding in Blockchain Explained 0:56 How Sharding Works in Blockchain 1:58 Parallel Execution Model & its Impact 2:26 Horizontal Partitioning 3:00 Vertical Partitioning 3:21 How Actually Sharding is Done 3:58 Why Sharding isn't Possible in PoW 4:51 What is Shard Sharing 5:16 Pros of Sharding 5:32 Cons of Sharding 5:54 Is Sharding Necessary in a Network 6:18 Alternatives to Sharding in Crypto Recommended Videos, What is Staking in Crypto | Cryptocurrency Staking Explained 🤍 Proof of Work vs Proof of Stake vs Proof of Authority Explained 🤍 What is Web 3.0 Explained | Web 1.0 vs Web 2.0 vs Web 3.0 Crypto 🤍 What is Yield Farming in Crypto: Risks, Returns & Working 🤍 What is DeFi in Blockchain | Decentralized Finance Explained 🤍 What are Smart Contracts in Blockchain, its Importance & How they Work 🤍 Got feedback on this video of blockchain sharding explained? Feel free to share your views in the comment section below. Let's get social! 🤍 🤍 🤍 #Sharding #Crypto #Blockchain #BlockchainTechnology #Ethereum #Decentralization #Coinbase #Cryptocurrency
Sharding is one of several methods being tested by start-ups, developers and current blockchain platforms to see if it can help developers finally climb address blockchain's scalability problem. Read more about blockchain sharding here: 🤍 Follow TECH(talk) for the latest tech news and discussion! SUBSCRIBE: 🤍 FACEBOOK: 🤍 TWITTER: 🤍 IDG ENTERPRISE WEBSITES Computerworld: 🤍 CIO: 🤍 CSO: 🤍 InfoWorld: 🤍 Network World: 🤍
Ethereum 2.0 has some major updates coming and we are here to explain them to you in an easy-to-understand way. Sharding: Eth 2.0 is adding 63 shard chains to help scale the network so it can process more transactions and data at a faster speed, which means lower fees! Beacon Chain: The beacon chain is the heart of the upgrade, it is a mega chain controlling all the shards, as well as doing some other important things Proof of Stake: This is the way we will decide who gets to add the next block to the chain - instead of working really hard, we are going to pick people who lock up their Eth and randomly select them so it's more fair and eco-friendly
Someone asked a question on Twitter and I thought it's interesting to answer it here in the show. I have a 2 million row table used in my CRUD python app, I’m worried that as the table grows my inserts will slow down, should I consider sharding my database or partition the table? thank you * inserts are fast, queries are slow 0:00 * inserts can be slow 3:00 * indexes/stored procedures * selects, updates and deletes can be slow 12:00 * add proper indexes. * simplicity wins, premature optimization is bad 15:20 * crazy things that people say as microservices day 1 scares me 🎙️Listen to the Backend Engineering Podcast 🤍 🏭 Backend Engineering Videos 🤍 💾 Database Engineering Videos 🤍 🏰 Load Balancing and Proxies Videos 🤍 🏛️ Software Archtiecture Videos 🤍 📩 Messaging Systems 🤍 Become a Member 🤍 Support me on PayPal 🤍 Stay Awesome, Hussein
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#ad Be sure you check out 🤍 to get your discount! There are few characters in the history of the Sonic franchise that have gone on the journey of Shard. The original Metal Sonic of the Archie series that would evolve in a way we have never seen for most of the mainstay characters in any canon. Today I look at both the good and bad steps in the story of one of the most interesting Sonic robots in the series. If this is your first video on this channel, I've done a lot of videos on Sonic robots, check out the playlist here: 🤍 You can also watch more Speed Reading here: 🤍 If you'd like to support the channel, get shows early, and access to my Discord: 🤍 Keep up with me on Twitter! 🤍
#shorts #StardewValley #Stardew
So what is the long-awaited Ethereum 2.0 all about? What is Proof of Stake, the Beacon Chain, Sharding and Docking? And what are the different phases of their rollouts? You’ll find answers to these questions in this video. Let’s start with an overview of what Ethereum 2.0 is and why it’s even needed in the first place. Ethereum 2.0 a.k.a Eth2 is a set of interconnected upgrades to the Ethereum network that aims at making Ethereum more scalable, more secure and more sustainable. These changes are worked on by multiple different teams in the Ethereum ecosystem, each team focusing on building a specific part of the whole upgrade. Initially, the set of changes needed to achieve these goals was called “Serenity”, but now most people refer to it as Ethereum 2.0 or just Eth2. 📘 DeFi Guide ► 🤍 📖 Post ► 🤍 🐦 Follow Finematics on Twitter ► 🤍 💛 Support Finematics on Patreon and join our Discord community ► 🤍 🔒 Ledger ► 🤍 (affiliate) 📱 Argent Wallet ► 🤍 (affiliate) 🌐 Get your .crypto Unstoppable Domain ► 🤍
Sooo apparently people can read the description. I just don't know how easy that is. If it is easy to read, say "I hate this video". If it is hard to read say "youtube needs to get their s*it together" Anyway here is some random words to increase my chance with algorithm Stardew valley, prismatic shard, Clint will never find a wife and will die alone, those two prismatic shards i am holding looks like a butt, ok im stopping here because this might get demonetized. Soundtrack(the credit goes to the creator. I don't know if that means anything, but maybe it won't get me sued) Stardew Valley soundtrack by ConcernedApe "Banjo Faraway"
The number one mistake made with sharding is not planning for it early on. Like most daunting things, the “ignorance is bliss” approach is appealing until it’s unboxing day... You’re in luck. It turns out sharding your cluster is not so scary after all! This talk explores the concepts and architecture behind sharding while demonstrating its use cases and strengths. Furthermore, we outline how to pick a shard key and ultimately boost your application's performance through our sharding technology. Demystify one of MongoDB’s most powerful features with one of our sharding engineers. The talk is crafted to be educational for all expertise levels. Speaker: Albert Wong, Senior Solutions Architect .local SF ’22 playlist ➡️ 🤍 Subscribe to MongoDB ➡️ 🤍 #MongoDBlocalSF22
Підпишись: 🤍 Трек на усіх платформах: 🤍 У своїй пісні артист виражає універсальний для кожної дорослої людини меседж: «В наш час технологій дуже легко загубити самого себе десь у телефоні і стати більше роботом, ніж людиною. Головна ідея пісні — це сумний висновок, що люди з часом перестають цінувати те, що мають, і лише критичні моменти можуть здути пил з їхніх сердець і нагадати про чистоту почуттів, про ті часи, коли готовий був їхати через все місто заради п'яти хвилин особистої зустрічі. І саме зараз є лише жаль про те, чого вже може ніколи не бути». Shard — це гурт з Дніпра, який грає суміш інді та поп-року. У кожній пісні Shard є яскравий промінь надії, що веде до кращого. Основними мотивами пісень є пошук справжнього Я, особисті проблеми людей, а також нагадування про те, що час не зупиняється. Shard препарує у своєму новому синглі теми, які зараз близькі усім дорослим людям. Автор у своїй ліриці та музиці передає те відчуття, коли твоє життя раз і назавжди змінилося і ти розумієш, що твої старі проблеми взагалі нічого не вартували. Наша музика тут: 🤍 Автор тексту і музики: Кирило Зворигін - 🤍zvoryhin Склад гурту: Кирило Зворигін – вокал, гітари, клавішні, бас, ударні. Артем Мороз – гітара, бек-вокал. Микита Макаров - клавішні, бек-вокал. Іван Панов – ударні. Герман Дунаєв – бас. Накопичення інструментів – хоум студіо, Кирило Зворигін Зведення та майстеринг - Руслан Дубовик, D&D mixing & mastering studio Підписуйся на SHARD у соцмережах: INSTAGRAM: 🤍 FACEBOOK: 🤍 Зйомки: 🤍novikov.kir - оператор-постановник 🤍Oleksii Stromenko - креативний менеджер 🤍music.box.rental - рентал 🤍leonova.catherine - співавтор основної ідеї та сценарію 🤍d.petruk - режисер та відеомонтаж 🤍bjarni0513 - технічний директор 🤍haitmargatitamuah - візажист oko.production - продакш 🤍 🤍 🤍 🤍murmurbar2020 - локація 🤍vitte_studio_dnepr - студія ТЕКСТ ПІСНІ SHARD - Вибухи Знову тік, знову так В голові стучить нервовий Тік в такт Знову тік, знову так Блукає мій паперовий Втік дах А кімнатами луна стелиться, як же холодно А давай загоїмо наши тріщини золотом Де ти є?! В моїй голові вибухи Живу нервовими зривами Тільки кляті годинники Лише спогади дотиків Прагнуть здатися сильними Серця наші пилові Наче стали машинами Начебто щасливі ми Вічний тік, вічно так Щелепу звело від сліз Крик, мат Наче рік за ніч так Ніколи знову це "на біс" Це жах А кімнатами луна стелиться, як же холодно А давай загоїмо наши тріщини золотом Де ти є?! В моїй голові вибухи Живу нервовими зривами Тільки кляті годинники Лише спогади дотиків Прагнуть здатися сильними Серця наші пилові Наче стали машинами Начебто щасливі ми _ #shard #вибухи #українськийрок
Lex Fridman Podcast full episode: 🤍 Please support this podcast by checking out our sponsors: - Athletic Greens: 🤍 and use code LEX to get 1 month of fish oil - Magic Spoon: 🤍 and use code LEX to get $5 off - Indeed: 🤍 to get $75 credit - Four Sigmatic: 🤍 and use code LexPod to get up to 60% off - BetterHelp: 🤍 to get 10% off GUEST BIO: Vitalik Buterin is the co-founder of Ethereum. PODCAST INFO: Podcast website: 🤍 Apple Podcasts: 🤍 Spotify: 🤍 RSS: 🤍 Full episodes playlist: 🤍 Clips playlist: 🤍 SOCIAL: - Twitter: 🤍 - LinkedIn: 🤍 - Facebook: 🤍 - Instagram: 🤍 - Medium: 🤍 - Reddit: 🤍 - Support on Patreon: 🤍
Database Sharding is beneficial but can be complex to implement. Here are few things you can do before you shard your database and gain great performance.
Когда речь идет о Шардинге в криптографии, то имеется в виду разделение блокчейна на множество различных частей (шардов), чтобы вся сеть могла масштабироваться, позволяя обрабатывать больше транзакций и данных. Присоединяйтесь к WhiteboardCrypto Club, чтобы получить бонус в виде ETH и уникальный NFT, а также мгновенный доступ к нашему частному сообществу и частным видео: 🤍 Или подпишитесь на нашу бесплатную рассылку, чтобы получить доступ к нашему Discord и бесплатному руководству по DeFi: 🤍 Узнай больше о Whiteboard Crypto: Facebook: 🤍whiteboardcrypto Instagram: 🤍whiteboardcryptoteam Website: 🤍whiteboardcrypto.com
The number one mistake made with sharding is not planning for it early on. Like most daunting things, the “ignorance is bliss” approach is appealing until it’s unboxing day... You’re in luck. It turns out sharding your cluster is not so scary after all! This talk explores the concepts and architecture behind sharding while demonstrating its use cases and strengths. Furthermore, we outline how to pick a shard key and ultimately boost your application's performance through our sharding technology. Demystify one of MongoDB’s most powerful features with one of our sharding engineers. The talk is crafted to be educational for all expertise levels. Subscribe to MongoDB ➡️ 🤍
Real Big, Real Fast, Real Time: Data Sharding and the Art of Real-Time Analytics at Scale | Boaz Wiesner Most analytics applications aim for sub-second analytics queries - but this becomes difficult when dealing with large volumes of real-time data. We’ll take you through our series of engineering and ops efforts that ultimately helped us reach sub-second real-time queries at scale (in our case, with Apache Druid) by using a custom data sharding mechanism. Description At Singular, we process and store our customer’s marketing data so they can run complex analytical queries on it and ultimately make smarter, data-driven decisions. While many of these decisions can be based on historical batch-ingested data, more and more decisions are being made based on fresh real-time data. Modern OLAP databases have recognized this new trend and adapted to support real-time ingestion flows. With Apache Druid as our database, we have utilized its real-time Kafka ingestion effectively for some time, ingesting all the real-time data into a single data source. As we grew, however, our real-time data source got larger and larger and became a significant bottleneck, causing spikes in query times and service disruption. After researching the issue, we discovered the problem: since we had a single real-time data source, different customers' data was stored in the same segments. When running a heavy query, this caused almost all resources to be allocated to that query. It also caused the data to be stored sub-optimally and significantly increased the volume of data that needed to be scanned. The simple solution was to batch-run optimizations and compaction tasks on the real-time data. However, this was only partly effective and was a costly operation. We went for the more complex solution: split our real-time data into different “shards”, so any given query would only run over a fraction of the total data. The sharding solution involved many operational complexities. We need to know what data is in each shard, keep our shards evenly balanced, and tune both our stream (Kafka) and database (Druid) to deal with the decrease in tenancy and new ingestion tasks. On top of this, we had to implement, deploy, and migrate workloads while maintaining full data availability for our customers. Since overcoming these challenges and releasing our Druid real-time sharding solution, we’ve seen significantly lower query times, better-optimized data storage, and faster data ingestion, ultimately creating a more efficient and reliable product. Boaz Wiesner DevOps Engineer 🤍 Singular
Partitioning is a generic term used for dividing a large database table into multiple smaller parts. Sharding is a specific type of partitioning in which data is partitioned horizontally and divided on the basis of a shared key also known as Shard key. In sharding, schema is replicated across multiple servers. Data is stored on multiple nodes on the basis of a Shard key. Most popular sharding key techniques are by alphabets or digits. Eg. Data from 0-4 in one shard and 5-9 in another shard. Or data from a-m in one shard and n-z in another shard. Watch more Playlists: System Design Interview Questions: 🤍 Software Architect Questions: 🤍 Microservices Questions: 🤍 Devops Interview Questions: 🤍 Connect with us: Facebook: 🤍 Twitter: 🤍 Amazon: 🤍 Site: 🤍knowledgepowerhouse.com
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System Design concepts - Database sharding. It covers: 1. What, why? 2. How - App level sharding, db level sharding 3. Sharding strategy - Hashing, Ranges 4. Real life example - sharding order data 5. Database with support 6. Followups - Hotspotting, Network partition #sharding #distributed #database
Skill Tree And Gear: 🤍 This may be the strongest Sorcerer build in diablo 4 right now. Ice Shard is an extremely powerful core ability, and paired with the other cooldown defensive options, this D4 Sorceress build can take on early AND end game alike! Wether it is elite mob groups or bosses, Ice Shard Sorcerer is one of the best builds in #diablo4 #diabloiv Check out MTASHED MANGO SPLASH FOCUS! 🤍 Use code "Mtashed" for 10% off 5% off Astro Headsets & Controllers: 🤍 MTASHED DISCORD: 🤍 Become A BROTHER today: 🤍 Links to my LIVESTREAM, TWITTER, AND INSTAGRAM: Twitch: 🤍 Twitter: 🤍 Instagram: 🤍 Music by: 🤍
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Hi guys, So today i will be discussing about sharding and High Speed data access in NoSQL and Distributed Databases. Sharding a database is a common scalability strategy used when designing server side systems. The server side system architecture uses concepts like sharding to make systems more scalable, reliable and performant. Sharding is horizontal partitioning of data according to a shard key. This shard key determines which database the entry to be persisted is sent to. High Speed data Access in NoSQL systems are usually achieved through Hashing technique and Range Partitioning. Links for the books that we recommend for DBMS are: 1.Database System Concepts (Writer: Avi Silberschatz · Henry F.Korth · S. Sudarshan) (Publisher: McGraw Hill Education) 🤍 2.Fundamentals of database systems (Writer:Ramez Elmsari,Shamkant B.Navathe) 🤍 3.Database Management Systems (Writer: Raghu Ramkrishnan, JohannesGehrke) 🤍 4.Introduction to Database Management (Writer: Mark L. Gillenson, Paulraj Ponniah, Alex Kriegel, Boris M. Trukhnov, Allen G. Taylor, and Gavin Powell with Frank Miller.(Publisher: Wiley Pathways) 🤍 Instagram : 🤍 #NTANET #DATABASE #SHARDING Instagram :
The number one mistake made with sharding is not planning for it early on. Like most daunting things, the “ignorance is bliss” approach is appealing until it’s unboxing day... You’re in luck. It turns out sharding your cluster is not so scary after all! This talk explores the concepts and architecture behind sharding while demonstrating its use cases and strengths. Furthermore, we outline how to pick a shard key and ultimately boost your application's performance through our sharding technology. Demystify one of MongoDB’s most powerful features with one of our sharding engineers. The talk is crafted to be educational for all expertise levels. Speaker: Dawoud Ibrahi, Advisory Solutions Architect .local Dallas ’22 playlist ➡️ 🤍 Subscribe to MongoDB ➡️ 🤍 #MongoDBlocalDallas22
Documentary about the first few months in the life of London's newest five-star hotel, the Shangri-La in the Shard. Subscribe to Our Stories: 🤍 The hotel is the 90 million pound flagship of an Asian hotel empire and one of the first hotels in the UK to bring traditional Asian hospitality. The programme follows members of staff as they are interviewed for their new jobs and also during their crucial first few months after the hotel's opening. 19-year-old chef Ollie lands his first job straight out of college, sommelier Anne tries to teach other novice restaurant staff about fine wine, including her protege Angela, an under-confident waitress from a pizza chain who feels completely out of her depth in the glitzy five-star world of the Shangri-La. There are also the two bellmen and childhood friends from Bermondsey, Thaddaeus and Eddie, who have never even been in a five-star hotel before. This film was first broadcast: 11 Nov 2014 Watch More Documentaries Our Life - 🤍 Our History - 🤍 Our World - 🤍 Our Stories - 🤍 Our Taste - bit.ly/3OZoDcV Welcome to Our Stories, your home on YouTube for inspiring human stories that give us an insight into real people and real lives. Our exciting range of fly-on-the-wall style documentaries and special access reality programmes will give you an inside look into the everyday lives of people; exploring what life is like for those working in education, healthcare, policing and many others! Content distributed by ITV Studios.
Sharding Overview Watch more Videos at 🤍 Lecture By: Mr. Arnab Chakraborty, Tutorials Point India Private Limited
Finally heading up to the top of The Shard here in London. Almost 1000 feet high up for visitors, and it the highest building in Europe (ok excluding one other). Please remember the EU is not the same as Europe before you comment on that lol. What does it look like at the top, and is it worth the money?! Other vlogs you might like: 🎥 River Thames and Big Ben tour: 🤍 Borough Market: 🤍 Thanks for watching, let me know you enjoyed it with subscribing and also give it a thumbs up 👍🏻 💕💌 📷 INSTAGRAM 🤍 🎥 I use a Sony A6600 with a 16-50mm lens OR my iphone 13 pro for filming and premiere pro for editing. #london #ukvlog #travelvlog
Missing? Bugged? No! It's all about the Nekko poo! Follow this video guide to unlock that elusive Priorite Shard at Rambler's Reach Outpost Stables! Let me know in the comments below which colour Nekko worked for you!
MOST INSANE SACRED SHARD PULL OF 2023! | Raid: Shadow Legends We will have a YouTube stream tonight with loads of giveaways and me in a forfeit cosplay! Come and join at 9pm UTC, 8pm UK, 3pm EST! My Website is live: 🤍 Bluestacks Links: RAID: 🤍 My Facebook is 🤍 My Twitter is 🤍 My twitch is 🤍 Come and join the discord channel. 🤍 Champion Tier List - 🤍 For Business inquiries please contact me through my agent: hellhades🤍amg.gg #RaidShadowLegends #RaidRPG #Raid