Cloud SQL смотреть последние обновления за сегодня на .
What is Cloud SQL? How do I set it up? How do I migrate my existing MySQL database to Cloud SQL? Will my data be safe? How much does it cost? Learn all about fully managed relational database, Cloud SQL! Cloud SQL → 🤍 Cloud SQL FAQ → 🤍 Connecting to Cloud SQL from external applications → 🤍 Check out other episodes of Google Cloud Drawing Board → 🤍 Subscribe to get all the episodes as they come out → 🤍 Follow Priyanka on Twitter → 🤍 #GoogleCloudDrawingBoard product: Cloud SQL; fullname: Priyanka Vergadia;
Overview of connection options → 🤍 Cloud SQL provides a managed service for MySQL, PostgreSQL, and SQL Server databases as well as backups, high availability, maintenance, and so much more! In this episode of Networking End to End, Lorin Price discusses networking concepts from implementation and security to connectivity on Cloud SQL. Watch along to learn about the options for deploying Cloud SQL and tips on how to determine who and what can access your Cloud SQL instance. Chapters 0:00 - Intro 1:10 - Public IP Access patterns 2:17 - Private IP Access patterns 5:35 - Network security considerations 6:04 - Key takeaways Watch more episodes of Networking End to End → 🤍 Subscribe to Google Cloud Tech → 🤍 #NetworkingEndToEnd
#GCPStartupGuides Episode 7: Getting started with Cloud SQL Tune into our new series for a new episode each time and let us know what you think in the comments below! Chapters: 0:00 - Intro 1:11 - Overview of database services 1:54 - Databases decision chart 2:40 - Introduction to Cloud SQL 5:21 - [Demo] Create Cloud SQL instances 8:17 - [Demo] Import data into Cloud SQL and explore data 9:58 - [Demo] Connect Cloud SQL to Bigquery and Data Studio 11:35 - [Demo] Connect to GCE with Cloud SQL Proxy 12:46 - Performance and cost optimization 14:38 - Sample use cases and gaming database architecture 15:32 - Startup customer case study 16:06 - Conclude and what’s next Useful Links: Read up on databases → 🤍 Create a CloudSQL instance Lab → 🤍 Connecting GCE to Cloud SQL Lab → 🤍 Optimization for Cloud SQL best practices → 🤍 🤍 Sample database architecture → 🤍 Migrating your databases to Cloud SQL whitepaper → 🤍 Google Cloud Technical Guides for Startups playlist→ 🤍 Subscribe to Google Cloud Tech → 🤍
Having fun watching these videos? Find more episodes by googling #CloudBytes ! Cloud SQL → 🤍 Cloud SQL is a fully-managed database service that helps you set up, maintain, manage, and administer your relational databases on Google Cloud Platform. In this episode of Cloud Bytes, we show what Cloud SQL is and how it can help you with time-consuming tasks - such as patches updates, replicas, and backups - so you can focus on designing your application! Watch more episodes of Cloud Bytes → 🤍 Subscribe to the GCP Channel → 🤍 Product: Cloud SQL; fullname: Max Saltonstall; #CloudBytes
In this video, Ori Kashi demonstrates how to get started using Cloud SQL. Learn how to create, manage, and run SQL instances using Cloud SQL. Get started today → 🤍 Cloud SQL → 🤍 Cloud SQL for SQL Server documentation → 🤍 Subscribe to GCP → 🤍 product:Cloud SQL; fullname:Ori Kashi;
Google Cloud Platform(GCP) Part 3: Google Cloud SQL Create SQL Instance, Creating Database and User Share, Support, Subscribe!!! Youtube: 🤍 Facebook: 🤍 Blog: 🤍 GitHub: 🤍 Connect with Me: Linkedin: 🤍 Facebook: 🤍 Instagram: 🤍 Twitter: 🤍
Code for this episode → 🤍 Cloud SQL documentation → 🤍 Cloud Run documentation → 🤍 Cloud Run is serverless, which means you don’t have to worry too much about configuration settings. If your code connects to a relational database, you will find that Cloud SQL is not serverless and that it has a lot of configuration settings. But don’t worry, in this video Craig and Martin will set up and configure a Cloud SQL machine and show how to connect to it from Cloud Run code! Timestamps: 0:00 - Intro 1:37 - Why Cloud SQL 2:22 - Creating and configuring a new Cloud SQL instance 6:33 - Creating and populating tables 7:10 - Connecting to Cloud SQL from Cloud Run code 9:20 - Deploying the application to Cloud Run Checkout more episodes of Serverless Expeditions → 🤍 Subscribe to Google Cloud Tech → 🤍 #ServerlessExpeditions Product: Cloud Run, Cloud SQL; fullname: Martin Omander, Craig Labenz;
This tutorial will walk you through how to use Google Cloud SQL. We begin by installing a fresh instance of the LAMP stack via Google Marketplace. After configuring and validating that the LAMP installation is working as expected we create a Google Cloud SQL instance. We then adjust the network rules to allow traffic from our LAMP virtual machine. We then use both the command line and PHP PDO script to connect to the remote Cloud SQL instance instead of the previous local MySQL instance. Then to wrap up we create an SSL certificate and connect of a secure SSL connection from both the command line and our PHP PDO script. #mysql #cloudsql #database 0:00 - 0:21 Introduction to Google Cloud SQL 0:21 - 1:47 Installing LAMP (Linux/Apache/MySQL/PHP) Stack 1:47 - 2:20 PHP MyAdmin 2:20 - 3:22 Configuring Apache 2 Web Server 3:22 - 3:45 Validating PHP Installation 3:45 - 5:15 Querying Local MySQL 5:15 - 5:50 Create Cloud SQL 5:50 - 7:56 Querying Cloud SQL 7:56 - 9:30 Setting Up SSL Connection 9:30 - 10:07 Connecting to Cloud SQL Over SSL 10:07 - 10:48 SSL Query from PHP Script Code Snippets from the Video 🤍
Overview In this lab, you configure a Cloud SQL server and learn how to connect an application to it via a proxy over an external connection. You also configure a connection over a Private IP link that offers performance and security benefits. The app we chose to demonstrate in this lab is Wordpress, but the information and best practices are applicable to any application that needs SQL Server. By the end of this lab, you will have 2 working instances of the Wordpress frontend connected over 2 different connection types to their SQL instance backend, as shown in this diagram: Objectives In this lab, you learn how to perform the following tasks: - Create a Cloud SQL database - Configure a virtual machine to run a proxy - Create a connection between an application and Cloud SQL - Connect an application to Cloud SQL using Private IP address #qwiklabs #gcp #googlecloud
Architecting with Google Cloud Platform Description: * In this video, you are going to learn what is Google Cloud SQL , Its features, various databases it supports and then a crisp demo. What this Video covers ... 1. What is Google Cloud SQL ? 2. Features of CloudSQL 3. MySQL vs PostgreSQL vs SQL Server 4. Architecture: Cloud SQL with Read Replicas 5. Architecture: Cloud SQL with High Availability(HA) 6. Architecture: Cloud SQL with HA Failover 7. Architecture: Cloud SQL with HA Failback 8. DEMO * Step 1: Login to GCP Console * Step 2: Create a Cloud SQL (MySQL) Instance with HA * Step 3: Connect CloudSQL(MySQL) Instance using DB Client * Step 4: Add Read Replica to the CloudSQL Instance * Step 5: Initiate Failover and Test * Step 6: Lab Clean up For suggestions/feedback/doubts contact email: kvk🤍vsparkz.com Happy Learning !!! = USEFUL LINKS: ############# Google Cloud SQL Concepts: 🤍 Google Cloud SQL Features: 🤍 Google Cloud SQL - All How to do Guide: 🤍 Google Cloud SQL HA Overview: * 🤍 Google Cloud SQL READ Replica's: 🤍 #googlecloud #gcp #googlecloudplatform
Fala meu amigo e minha amiga! Neste vídeo mostro como: - Criar uma instância de POSTGRES SQL no CLOUD SQL DO GCP - Criar uma DATABASE - Criar usuários - Acessar a instância de CLOUD SQL usando o CLOUD PROXY Curte ai! #gcp #cloudsql #googlecloud #sql #cloud #gcloud
Cloud SQL is a managed database service that makes it easy to set up and maintain your MySQL, PostgreSQL, and SQL Server databases in the cloud. Learn how to configure databases that can recover from user errors, infrastructure failures, and full region outages. Hear about the replication technologies used by Cloud SQL and how Cloud SQL performs automatic health checking to ensure databases are highly available. Speaker: Brett Hesterberg Watch more: Google Cloud Next ’20: OnAir → 🤍 Subscribe to the GCP Channel → 🤍 #GoogleCloudNext DBS301 event: Google Cloud Next 2020; re_ty: Publish; product: Cloud - Databases - Cloud SQL; fullname: Brett Hesterberg;
Cloud SQL for SQL Server is the latest addition to Google’s portfolio of fully managed database services that make it simple and easy to set up and maintain while ensuring compatibility with existing SQL Server deployments. This session covers best practices on leveraging Cloud SQL-specific functionality for SQL Server as well as the robust ecosystem of tools to interact with it. Understand when and how to utilize SQL Server’s managed offering. Speakers: Ori Kashi, Doug Mahugh, Shashank Agarwal Watch more: Google Cloud Next ’20: OnAir → 🤍 Subscribe to the GCP Channel → 🤍 #GoogleCloudNext DBS201 event: Google Cloud Next 2020; re_ty: Publish; product: Cloud - Databases - Cloud SQL; fullname: Ori Kashi, Doug Mahugh, Shashank Agarwal;
Introduction blog → 🤍 Cloud SQL Insights Overview documentation → 🤍 Using Cloud SQL Insights documentation → 🤍 Introduction to Cloud SQL Codelab → 🤍 SQL Commenter documentation → 🤍 Cloud SQL Insights helps you detect, diagnose, and prevent query performance problems for Cloud SQL databases. With Insights, you can monitor performance at an application level and trace the source of a problematic query across the application stack by model, view, controller, route, user, and host. In this video, we introduce you to Cloud SQL Insights and demo how you can use it for self-service, intuitive monitoring and troubleshooting. Subscribe to the GCP Channel → 🤍 product: Cloud SQL Insights; fullname: Jan Kleinert;
Cloud SQL is managed database service that makes it easy to set up and maintain your MySQL, PostgreSQL, and SQL Server databases in the cloud. See new features and enhancements that improve security, protect against disaster, and more. Speaker: Brett Hesterberg Watch more: Google Cloud Next ’20: OnAir → 🤍 Subscribe to the GCP Channel → 🤍 #GoogleCloudNext DBS102 event: Google Cloud Next 2020; re_ty: Publish; product: Cloud - Databases - Cloud SQL; fullname: Brett Hesterberg;
Обзор Google Cloud SQL в Google Cloud Platform. Смотрим как создавать базу данных, как ей управлять и как создать failiver-replica для Cloud SQL. MySQL и PostgreSQL как сервис, PaaS от Google
𝐓𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭, 𝐭𝐡𝐞𝐧 𝐫𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐟𝐨𝐫 𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐂𝐥𝐚𝐬𝐬 𝐚𝐭 🤍 Every application needs to store data. Different applications and workloads demand additional storage and database solutions. There are two products among GCP's core storage options: Cloud SQL and Cloud Spanner. 📌 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐒𝐐𝐋 ► Cloud SQL is a fully-managed database service that 💁 helps you set up, maintain, operate, and administer your relational databases on Google Cloud Platform. 📌 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐒𝐩𝐚𝐧𝐧𝐞𝐫 ► Spanner is a distributed relational database service that runs on ☁️ Google Cloud. It is ⚙ designed to support global online transaction processing deployments, SQL semantics, highly available horizontal scaling, and transactional consistency. 🤔 Should I choose Cloud SQL instead of Cloud Spanner? 💡 There are many similarities between these offerings in that they both support strong consistency and SQL syntax for querying the database. However, the two products are at 📃 different levels of maturity. 𝐖𝐚𝐧𝐭 𝐭𝐨 🤔 𝐥𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞? Watch this video: 🤍 𝐖𝐡𝐞𝐫𝐞 𝐡𝐞 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐬 : 00:00 = Introduction 00:39 = Structured Database 01:25 = Cloud SQL 04:51 = Cloud Spanner 06:55 = How to Prepare for GCP Certification? 07:24 = Learning Path for Google Professional Cloud Architect Certification 08:12 = Exam Guide for Certification 09:42 = FREE CLASS on GCP Pro 10:21 = Registration Link for FREE CLASS Do you have questions? Let us know in the comment section 👇 #CloudSQLvsCloudSpanner #CloudSpannervsCloudSQL #cloudspanner #googlecloudspanner #cloudspanneroverview #cloudSQL #googlecloudSQL #cloudsqloverview #cloudstorage #googlecloudstorage #gcp #gcpforbeginners #googlecloudplatform #k21academy #askatul Subscribe if you want to know more about Cloud technology: 🤍 - LET'S CONNECT ON SOCIAL ↴ ➽ Facebook: 🤍 ➽ Linkedin:🤍 ➽ Twitter: 🤍 ➽ Instagram: 🤍 See you soon!
In this lab, you'll learn how to import data from CSV textbook trains into Cloud SQL and either carry out some underlying data analysis using simple queries. The dataset used in this contains true information about internal slips. This dataset can be used to demonstrate a wide range of data wisdom stereotypes and tactics and is used in all of the labs in the Data Science on Google Cloud Platform Quest. Plans 1. Make Shadow SQL representative 2. Make a Shadow SQL database 3. Import primer data into Shadow SQL 4. Raise an pioneer data model using queries 🤍zeedup.com
Este es un vistazo a uno de los productos estrella de Google Cloud SQL. Vemos una mezcla de teoría y practica en laboratorio que nos muestra sus características clave, casos de uso y aplicación practica.
SUBSCRIBE & SHARE PLEASE In this lab, you configure a Cloud SQL server and learn how to connect an application to it via a proxy over an external connection. You also configure a connection over a Private IP link that offers performance and security benefits. The app we chose to demonstrate in this lab is Wordpress, but the information and best practices are applicable to any application that needs SQL Server. By the end of this lab, you will have 2 working instances of the Wordpress frontend connected over 2 different connection types to their SQL instance backend. #Googlecloud #gcp #Qwiklabs #LearntoEarn
#appengine #gcp Tutorial to connect Cloud SQL from App Engine in Google Cloud. GitHub URL: 🤍 - Commands Used: gcloud sql connect gk-demo-utube user=mastergk create table demo_tbl( demo_id INT NOT NULL AUTO_INCREMENT, demo_txt VARCHAR(500) NOT NULL, PRIMARY KEY ( demo_id ) ); insert into demo_tbl(demo_id,demo_txt) values(1,"hello guys, thanks for watching my video :)") select demo_txt from demo_tbl; PLEASE SUBSCRIBE ➡️🤍 ❤️ BUY ME A COFFEE ☕🤍 PLAYLISTS: - Associate Cloud Engineer Study Guide: 🤍 - Google Cloud Playlist: 🤍 - Questions? Thoughts? Disagreements? Tell us here in the comments. LETS CONNECT: 👍 Facebook: 🤍 📸 Instagram - 🤍 🐦 Twitter - 🤍
In this video, learn how to use the Cloud SQL Proxy to create a secure connection to Google Cloud SQL from your local machine or external application. Google Cloud SQL: 🤍 Proxy Installation Steps: 🤍 Google Cloud SDK: 🤍 #CloudMinute
Here to bring you the latest news in the Cloud is Alicia Williams. • More BigQuery datasets → 🤍 • Administering BigQuery → 🤍 • Managing costs for VMs → 🤍 • Cloud SQL explained → 🤍 Chapters: 0:00 - Intro 0:12 - More BigQuery datasets 0:33 - Administering BigQuery 0:50 - Managing costs for VMs 1:17 - Cloud SQL explained 1:35 - Wrap up This Week in Cloud is a series where we serve you the lowest latency news → 🤍 Tune in every week for a new episode and let us know what you think of the latest announcements in the comments below! Remember to subscribe for weekly updates → 🤍 #ThisWeekInCloud product: Cloud - General; fullname: Alicia Williams, Bukola Ayodele; re_ty: Publish;
Learn how to create a Google Cloud SQL database and use it with Google Compute Engine. This allows you to use a fully managed relational SQL database with your Compute Engine application! Learn more about Google Cloud SQL here: 🤍 Learn more about Google Compute Engine here: 🤍 #CloudMinute
Belajar Cloud SQL Google Cloud Platform. Bagaimana cara membuat database mysql, postgresql, sql server di Google Cloud Platform? Bagaimana cara menggunakannya? Ayo tonton sampe habis :) Bantu Support Saya : 🤍
Google Cloud SQL es un servicio integrado en Google Cloud Platform que facilita la configuración, gestión, almacenamiento y mantenimiento de bases de datos relacionales en la nube. Como siempre cuando trabajamos en Google Cloud Platform, la idea es dedicar nuestro tiempo a desarrollar nuestra aplicación y/o servicios liberándonos de las tareas tediosas, aunque siempre necesarias, de administración, en este caso, de base de datos. Si trabajas con volúmenes elevados de bases de datos MySQL, PostgreSQL o SQLServer y te gustaría liberarte de las sobrecargas operativas de administración Cloud SQL es una solución perfecta para ti. Si tienes dudas de cómo empezar a implementar Cloud SQL o como aprovechar el potencial de los servicios de Google Cloud Platform no dudes en contactarnos a gcloud🤍beservices.es o visitar 🤍
Razvan vous propose de découvrir comment migrer votre base de données MySQL vers le cloud. Pour notre entreprise "Le Tricotin Fantastique", la version managée - Cloud SQL - répond aux besoins de scalabilité, fiabilité et limité le coût d'administration. La migration se fait en quelques étapes : création d'un réplica en Cloud SQL, promotion du réplica, redirection des clients vers Cloud SQL. Razvan Culea est Strategic Cloud Engineer chez Google Cloud au sein de l’entité Professional Services Organization. Les guides de migrations évoqués dans la vidéo sont : Migration vers MySQL en GCP avec HAProxy : 🤍 Migration vers Cloud SQL: 🤍 N'hésitez pas à nous faire part de vos retours à parlezvouslecloud🤍google.com: ce qui vous a été le plus utile, ce que vous voudriez que l’on améliore et les sujets que vous souhaiteriez aborder dans une prochaine saison. Regardez plus de vidéos → 🤍
Overview In this lab, you create a Cloud Storage bucket and place an image in it. You'll also configure an application running in Compute Engine to use a database managed by Cloud SQL. For this lab, you will configure a web server with PHP, a web development environment that is the basis for popular blogging software. Outside this lab, you will use analogous techniques to configure these packages. You also configure the web server to reference the image in the Cloud Storage bucket. Objectives In this lab, you learn how to perform the following tasks: - Create a Cloud Storage bucket and place an image into it. - Create a Cloud SQL instance and configure it. - Connect to the Cloud SQL instance from a web server. - Use the image in the Cloud Storage bucket on a web page.
AppSheet IP addresses article → 🤍 Cloud SQL is a fully managed relational database service that allows you to run the same relational databases with their rich extension collections, configuration flags, and developer ecosystem without the hassle of self-management. What can you do with this data in Cloud SQL? One possible outcome is to make an app. In this episode of Building with AppSheet, Christian Schalk walks us through how to use Cloud SQL with AppSheet to generate an app using your data! Chapters: 0:00 - Intro 0:17 - What is Cloud SQL? 0:25 - Cloud SQL Details 0:52 - Managing Cloud SQL 1:16 - AppSheet and Cloud SQL 1:25 - Preparing Cloud SQL for AppSheet 2:08 - Demo: Preparing Cloud SQL for AppSheet 5:15 - Setting up AppSheet to use Cloud SQL 5:55 - Demo: Setting AppSheet to use Cloud SQL 6:34 - Using Cloud SQL in AppSheet 7:00 - Demo: Using Cloud SQL in AppSheet 8:39 - Summary & More Info Watch more episodes of this series → 🤍 What is Google Workspace? → 🤍 Set up Google Workspace →🤍 Subscribe to Google Workspace →🤍 Follow Google Workspace on Twitter → 🤍 Follow Google Workspace on Facebook→ 🤍 Follow Google Workspace on LinkedIn → 🤍 Follow Google Workspace on Instagram → 🤍 Product: Google Workspace, Add-ons - App Sheet; fullname: Christian Schalk; #GoogleWorkspace #BuildingWithAppSheet
Cloud SQL documentation → 🤍 Cloud Run documentation → 🤍 In the last episode, we explored how you can create a web app in Cloud Run with a Cloud SQL database. In this episode of Serverless Expeditions, Craig and Martin show you how to optimize the performance of your apps using both Cloud Run and Cloud SQL. They’ll demo how to run load tests for your application - measuring performance to decipher whether your application will need to optimize queries, read replicas, or partition application software. Martin and Craig will also shed some light on how to avoid application conflicts. Watch to learn how you can tune the performance of your web application! Timestamps: 0:00 - Intro 0:30 - Installing the Locust.io load-testing tool 1:20 - Starting the Locust.io load-testing tool 2:55 - Inspecting server load 4:13 - How to boost your Cloud SQL database’s performance 5:43 - Setting up a database read replica 7:07 - Advice for using a read replica effectively 8:00 - Don’t run schema updates on application start-up! 8:53 - Recap Checkout more episodes of Serverless Expeditions → 🤍 Subscribe to Google Cloud Tech → 🤍 #ServerlessExpeditions Product: Cloud Run, Cloud SQL; fullname: Martin Omander, Craig Labenz;
A SQL Server database can be installed on Microsoft Azure. If you do this, then you don't even need to install SQL Server on your computer. This video comes from my DP-900 course: 🤍 My SQL Server Udemy courses are: 70-461, 70-761 Querying Microsoft SQL Server with T-SQL: 🤍 98-364: Database Fundamentals (Microsoft SQL Server): 🤍 70-462 SQL Server Database Administration (DBA): 🤍 Microsoft SQL Server Reporting Services (SSRS): 🤍 SQL Server Integration Services (SSIS): 🤍 SQL Server Analysis Services (SSAS): 🤍 Microsoft Power Pivot (Excel) and SSAS (Tabular DAX model): 🤍 In this video, we will get a free Microsoft Azure account, with around US$200 worth of credit. Then we'll log in, and create an Azure SQL Database with some sample database. We'll then make sure that your computer has access to it. This is taken from my new DP-900 course. For more details, please click here: 🤍
Learn how to create a Google Cloud SQL database and use it with Google App Engine. This allows you to use a fully managed relational SQL database with your App Engine application! Learn more about Google Cloud SQL here: 🤍 Learn more about Google App Engine here: 🤍 #CloudMinute
Explore the ins and outs of connecting to Cloud SQL from Google Kubernetes Engine. Learn from multiple scenarios how to make the most of your Cloud SQL instance: understand how to safely and securely connect to your Cloud SQL instance from a Kubernetes-based application, when to use public vs private IPs, recommended practices to deploy the Cloud SQL proxy, and how to structure for high availability. Speaker: Kurtis Van Gent Watch more: Google Cloud Next ’20: OnAir → 🤍 Subscribe to the GCP Channel → 🤍 #GoogleCloudNext DBS302 event: Google Cloud Next 2020; re_ty: Publish; product: Cloud - Databases - Cloud SQL, Cloud - Containers - Google Kubernetes Engine (GKE); fullname: Kurtis Van Gent; event: Google Cloud Next 2020;
Migrate MySQL databases Google Cloud SQL, Google's fully-managed database service that makes it easy to set up and maintain your relational databases in the cloud. In this session, we will show you how to migrate your MySQL to Cloud SQL safely and easily. We'll also show you how to test migration steps and use failover to reduce downtime on a live application. You'll come away knowing how to migrate your MySQL-backed applications to Google Cloud. Event schedule → 🤍 Watch more Infrastructure & Operations sessions here → 🤍 Next ‘18 All Sessions playlist → 🤍 Subscribe to the Google Cloud channel! → 🤍 event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - Databases - Cloud SQL; fullname: Gabriela Ferrara, Brett Hesterberg;
Google Cloud databases → 🤍 Cloud SQL → 🤍 Cloud Spanner → 🤍 Cloud Firestore →🤍 Critter Junction is looking for the right type of databases that allows their app to vertically and horizontally scale with ease, but which database will best serve their needs? In this episode of Season of Scale, we help Critter Junction choose the best database option for their mobile mini game - explaining the pros and cons of Cloud SQL, Cloud Spanner, and Cloud Firestore. Watch to learn how to decide on a database suited for data type, scaling needs, and developer flexibility! Chapters: 0:00 - Intro 1:06 - Horizontal vs. vertical scaling 1:18 - Cloud SQL 2:32 - Cloud Spanner 3:09 - Cloud Firestore 4:30 - Conclusion Watch more episodes of Season of Scale → 🤍 Subscribe to get all the episodes as they come out → 🤍 #SeasonofScale Product: Cloud SQL, Cloud Firestore, Cloud Spanner; fullname: Jenny Brown;
DISCLAIMER: I never use Whatsapp. If anyone solicits you to a private messaging platform, it is NOT me. Avoid scammers if you care about your tendies. 🔥 It's cold on the moon. Gear up with MERCH 🔥 Stop by every week for new limited edition shirts, mugs, and more space upgrades. 👉🏽 🤍 This question is asked by Adobe, Amazon, Apple, Facebook, Google. If you want to start interview preparation correctly, start with this question. A leetcode a day keeps the data scientist in the Bay. Hey you! Buy me a coffee! ► 🤍 Subscribe. It's fun and chill. 🤍 ► Get 3 Free Stocks on WeBull (Valued up to $1600 when you deposit $100): 🤍 ► $50 to invest in anything for FREE. No kidding. 🤍 ► Try Audible and Get Two Free Audiobooks: 🤍 ► Your chance at free Microsoft stock ($216.86) 🤍 ► How I make my videos 🤍 ► One time donations 🤍 💰 FREE Discord: 🤍 ► Follow Me On Instagram: 🤍 ► The first step to a $100K+ Salary by reading a SQL book: 🤍 How to Make a Six Figure Salary in Six Months 🤍 The $0 Data Science Bible 🤍 Pandas vs SQL 🤍 ► My Gear Sony ZV-1 Camera: 🤍 Blue Yeti USB Mic: 🤍 #DataLeap #DataScience #AndrewMoMoney * Hey one more thing: I use affiliate links on the products I linked above. These give me a small commission at no cost to you. They help support me, so thank you for your part! The video is accurate as of the posting date but may not be accurate in the future. Not a lawyer or financial advisor! All opinions expressed are mine alone and for entertainment only. ––– ♪♫ Artists' Links ♫♪ ––– "the day we got lost in eachothers answering machines" Artist: Artificial.Music - 🤍 Creative Commons license #DataLeap #66DaysOfData #DataScience My name is Andrew Mo, and I'm here to help you find your Six Figure Dream Job. As a 25-year-old in Silicon Valley that built 9 streams of passive income in 2020, I want to help you find your own path to 6 figures in 6 months. Let's leap together.