Cloud Spanner is a fully managed relational database that provides global scale, SQL support, and strong consistency across multiple regions. It is horizontally scalable, provides automatic replication and maintenance, and supports transactions with ACID semantics. Spanner offers high availability, enterprise-grade security with encryption and IAM controls, and supports multiple programming languages through client libraries. Performance scales based on the number of nodes provisioned, with a minimum of 3 nodes recommended for production workloads.
The document outlines the essentials of effective budgeting. It discusses the importance of sound forecasting to set precise budgets, ensuring budgets are oriented towards organizational goals, and having proper recording systems to accurately track actual performance against budgets. It also emphasizes the need for participation in budget creation, top management support, flexibility, timeliness, efficient organization, coordination, sound administration, constant review, linking rewards and punishments to budget performance, and allowing time to see results. Effective budgeting requires following these essential principles and having experienced leadership.
The document provides information about Simon Su and his expertise in Google Dataflow. It includes Simon's contact information and links to his online profiles. It then discusses Simon's areas of specialization including data scientist, data engineer, and frontend engineer. The document proceeds to provide information about preparing for a Google Dataflow workshop, including documents and labs to review. It also discusses Google Cloud services for data processing and analysis like Dataflow, BigQuery, Pub/Sub, and Dataproc. Finally, it outlines the agenda for the workshop, which will include hands-on labs to deploy users' first Dataflow project and create a streaming Dataflow model.
GCPUG meetup 201610 - Dataflow IntroductionSimon Su
?
This document provides information about Simon Su and Sunny Hu, who will be presenting on Google's BigData solution. It includes their contact information and backgrounds. Simon's areas of focus include Node.js and blogging. Sunny's skills include project management, system analysis, and Java. The document also advertises a Facebook and Google+ group for the Google Cloud Platform User Group Taiwan, where people can share experiences using GCP. It poses trivia questions about Google's infrastructure and provides timelines of Google's BigData innovations.
使用 Raspberry pi + fluentd + gcp cloud logging, big query 做iot 資料搜集與分析Simon Su
?
This is a short training for introduce Pi to use fluentd to collect data and use Google Cloud Logging and BigQuery as backend and then use Apps Script and Google Sheet as presentation layer.
Fun??es do solo.- 5?B - Afonso CastanhoMaria Pereira
?
O solo desempenha fun??es vitais como habitat para animais e plantas, fonte de nutrientes e matérias-primas, e filtro de águas. Ele sustenta a vida e as atividades humanas ao fornecer recursos e regular processos ecológicos como o ciclo hidrológico.
Flipkart is an Indian e-commerce company founded in 2007 that pioneered online shopping in India. It uses customer relationship management as a key differentiator by keeping customers informed every step of the order process, making customer service easily accessible, and having transparent return and exchange policies. Technological tools like sales force automation help support Flipkart's CRM practices by enabling remote communication with customers and efficient order management. Customer data is analyzed to understand behaviors and segment customers.
Este documento presenta un resumen de 3 oraciones o menos del siguiente texto:
El texto analiza el prólogo y el primer capítulo del libro "La más grande mentira de la historia" de Benjamín W. Segel, el cual pretende demostrar que "Los Protocolos de los Sabios de Sión" son apócrifos. El autor refuta los argumentos de Segel y afirma que los eventos predichos en "Los Protocolos" como la guerra mundial y el establecimiento del bolchevismo en Rusia se cumplieron tal como se describieron. Asimismo, crit
Perspectiva de género en el Marco de Acción de SendaiFAO
?
http://www.fao.org/americas/eventos/ver/en/c/471743/
http://www.fao.org/americas/eventos/ver/es/c/471744/
Presentación de Montserrat Blanco, Reunión Técnica Elaboración Estrategia Regional para la GIRD de los sectores agrícolas y la seguridad alimentaria, Santiago, 22 y 23 febrero.
This document summarizes the process of constructing a 200m long, 8m wide paved road in Soran University campus in Soran, Iraq. It describes surveying the location, designing the road profile and cross-sections, and calculating the cost at 117,200,000 IQD. The construction process involves preparing the subgrade, sub-base, and base layers, laying the wearing course in layers, compacting with rollers, and constructing shoulders. Quality control checks aggregate grading, bitumen grade and mixing/laying temperatures. Finally, the document discusses completing all steps to open the road for public use according to international standards.
This document contains an agenda and presentation slides for a webinar hosted by GLC Networks on IPv6 with Mikrotik RouterOS. The webinar covers an introduction to IPv6, how to enable and configure IPv6 on RouterOS, and a demonstration. It provides information on GLC Networks as an Indonesian training and consulting company, the trainer's background, and how to assign IPv6 addresses on RouterOS using SLAAC and DHCPv6 prefix delegation. 狠狠撸s include comparisons of IPv4 and IPv6, IPv6 addressing rules, and assigning IPv6 addresses to clients.
Google Cloud Platform - for Mobile SolutionsSimon Su
?
This document discusses Google Cloud Platform solutions for mobile development. It introduces several Google Cloud services useful for mobile backends including Google App Engine, Cloud Endpoints, Cloud Datastore, Google Cloud Messaging, Pub/Sub Messaging and Firebase. It provides overviews of how each service works and how they can help with building mobile apps and backends without having to manage complex infrastructure. The document aims to help mobile developers learn about Google Cloud options for building scalable and flexible cloud-based backends for their mobile applications.
This document outlines labs for Google Cloud Dataflow workshops. Lab 1 covers setting up the Dataflow environment and building a first project. Lab 2 focuses on deploying the first project to Google Cloud Platform. Lab 3 builds streaming Dataflow by creating PubSub topics/subscriptions and deploying streaming samples that read from PubSub and write to BigQuery.
Cloud Spanner is a fully managed relational database that provides global scale, SQL support, and strong consistency across multiple regions. It is horizontally scalable, provides automatic replication and maintenance, and supports transactions with ACID semantics. Spanner offers high availability, enterprise-grade security with encryption and IAM controls, and supports multiple programming languages through client libraries. Performance scales based on the number of nodes provisioned, with a minimum of 3 nodes recommended for production workloads.
The document outlines the essentials of effective budgeting. It discusses the importance of sound forecasting to set precise budgets, ensuring budgets are oriented towards organizational goals, and having proper recording systems to accurately track actual performance against budgets. It also emphasizes the need for participation in budget creation, top management support, flexibility, timeliness, efficient organization, coordination, sound administration, constant review, linking rewards and punishments to budget performance, and allowing time to see results. Effective budgeting requires following these essential principles and having experienced leadership.
The document provides information about Simon Su and his expertise in Google Dataflow. It includes Simon's contact information and links to his online profiles. It then discusses Simon's areas of specialization including data scientist, data engineer, and frontend engineer. The document proceeds to provide information about preparing for a Google Dataflow workshop, including documents and labs to review. It also discusses Google Cloud services for data processing and analysis like Dataflow, BigQuery, Pub/Sub, and Dataproc. Finally, it outlines the agenda for the workshop, which will include hands-on labs to deploy users' first Dataflow project and create a streaming Dataflow model.
GCPUG meetup 201610 - Dataflow IntroductionSimon Su
?
This document provides information about Simon Su and Sunny Hu, who will be presenting on Google's BigData solution. It includes their contact information and backgrounds. Simon's areas of focus include Node.js and blogging. Sunny's skills include project management, system analysis, and Java. The document also advertises a Facebook and Google+ group for the Google Cloud Platform User Group Taiwan, where people can share experiences using GCP. It poses trivia questions about Google's infrastructure and provides timelines of Google's BigData innovations.
使用 Raspberry pi + fluentd + gcp cloud logging, big query 做iot 資料搜集與分析Simon Su
?
This is a short training for introduce Pi to use fluentd to collect data and use Google Cloud Logging and BigQuery as backend and then use Apps Script and Google Sheet as presentation layer.
Fun??es do solo.- 5?B - Afonso CastanhoMaria Pereira
?
O solo desempenha fun??es vitais como habitat para animais e plantas, fonte de nutrientes e matérias-primas, e filtro de águas. Ele sustenta a vida e as atividades humanas ao fornecer recursos e regular processos ecológicos como o ciclo hidrológico.
Flipkart is an Indian e-commerce company founded in 2007 that pioneered online shopping in India. It uses customer relationship management as a key differentiator by keeping customers informed every step of the order process, making customer service easily accessible, and having transparent return and exchange policies. Technological tools like sales force automation help support Flipkart's CRM practices by enabling remote communication with customers and efficient order management. Customer data is analyzed to understand behaviors and segment customers.
Este documento presenta un resumen de 3 oraciones o menos del siguiente texto:
El texto analiza el prólogo y el primer capítulo del libro "La más grande mentira de la historia" de Benjamín W. Segel, el cual pretende demostrar que "Los Protocolos de los Sabios de Sión" son apócrifos. El autor refuta los argumentos de Segel y afirma que los eventos predichos en "Los Protocolos" como la guerra mundial y el establecimiento del bolchevismo en Rusia se cumplieron tal como se describieron. Asimismo, crit
Perspectiva de género en el Marco de Acción de SendaiFAO
?
http://www.fao.org/americas/eventos/ver/en/c/471743/
http://www.fao.org/americas/eventos/ver/es/c/471744/
Presentación de Montserrat Blanco, Reunión Técnica Elaboración Estrategia Regional para la GIRD de los sectores agrícolas y la seguridad alimentaria, Santiago, 22 y 23 febrero.
This document summarizes the process of constructing a 200m long, 8m wide paved road in Soran University campus in Soran, Iraq. It describes surveying the location, designing the road profile and cross-sections, and calculating the cost at 117,200,000 IQD. The construction process involves preparing the subgrade, sub-base, and base layers, laying the wearing course in layers, compacting with rollers, and constructing shoulders. Quality control checks aggregate grading, bitumen grade and mixing/laying temperatures. Finally, the document discusses completing all steps to open the road for public use according to international standards.
This document contains an agenda and presentation slides for a webinar hosted by GLC Networks on IPv6 with Mikrotik RouterOS. The webinar covers an introduction to IPv6, how to enable and configure IPv6 on RouterOS, and a demonstration. It provides information on GLC Networks as an Indonesian training and consulting company, the trainer's background, and how to assign IPv6 addresses on RouterOS using SLAAC and DHCPv6 prefix delegation. 狠狠撸s include comparisons of IPv4 and IPv6, IPv6 addressing rules, and assigning IPv6 addresses to clients.
Google Cloud Platform - for Mobile SolutionsSimon Su
?
This document discusses Google Cloud Platform solutions for mobile development. It introduces several Google Cloud services useful for mobile backends including Google App Engine, Cloud Endpoints, Cloud Datastore, Google Cloud Messaging, Pub/Sub Messaging and Firebase. It provides overviews of how each service works and how they can help with building mobile apps and backends without having to manage complex infrastructure. The document aims to help mobile developers learn about Google Cloud options for building scalable and flexible cloud-based backends for their mobile applications.
This document outlines labs for Google Cloud Dataflow workshops. Lab 1 covers setting up the Dataflow environment and building a first project. Lab 2 focuses on deploying the first project to Google Cloud Platform. Lab 3 builds streaming Dataflow by creating PubSub topics/subscriptions and deploying streaming samples that read from PubSub and write to BigQuery.
Kubernetes Basics provides an overview of Kubernetes concepts and components. It discusses pods vs deployments, scaling deployments, rolling updates, stateful vs stateless applications, daemon sets, secrets, configmaps, services, ingress, storage classes, network policies, and Kubernetes CLI commands. Hands-on examples are given for running commands, exposing services, deleting resources, executing commands in pods, viewing logs, and getting resource information. YAML files are shown for defining deployments, services, and ingress. Skills discussed include using configmaps as environment variables, sidecar deployments, init containers, labels and node selectors, private registries, taints and tolerations, resource management, and readiness and liveness probes.
Simon Su presented on using Google Cloud Platform for IoT applications. The document discussed key concepts in IoT like connectivity, devices, sensors and cloud infrastructure. It provided examples of using various Google Cloud services for IoT like Cloud PubSub for messaging, BigQuery for data storage, Cloud Functions for serverless computing, Cloud Vision API for image recognition and Cloud IoT Core for connecting devices. Code samples were given to illustrate how to use these services for common IoT tasks.
This document provides an overview of various Google Cloud Platform services including Compute Engine, Networking, Load Balancing, Cloud Launcher, Cloud Storage, Cloud SQL, Cloud Monitoring, Cloud DNS, and Deployment Manager. It includes descriptions of the basic concepts and functionality for each service. It also outlines several hands-on labs demonstrating how to use specific GCP services like backing up instances to Cloud Storage snapshots, exporting Cloud SQL databases to Cloud Storage, enabling Cloud Logging, and deploying a VM instance using Deployment Manager.
This document provides instructions for enabling and using the serial console on a Windows machine. It outlines connecting to the VM from port 3, using "?" to check available commands, running "cmd" to start a new command session, and "ch -sn [session name]" to switch sessions. Finally, it notes you can reset the password using "Create or reset Windows password" and login to access the Windows command prompt for troubleshooting.
Google Cloud Computing compares GCE, GAE and GKESimon Su
?
Google Cloud Computing compares GCE, GKE and GAE. GCE provides raw compute, storage and networking resources and requires more management overhead. GAE focuses on application logic and requires less management. GKE offers managed Kubernetes infrastructure and services. Each option has different strengths for workloads like microservices, containerized services, or large-scale applications requiring quick scaling. Monitoring and management features like Stackdriver are also compared.
This document provides an overview of Docker concepts and commands for building, running, and managing Docker containers. It demonstrates how to run a simple Node.js application as a Docker container using commands like docker run, docker build, docker ps, and docker-compose. It also shows how to link containers, mount folders, push images to Docker Hub, and remove containers.
Google Cloud Platform Introduction - 2016Q3Simon Su
?
The document summarizes news and services from Google Cloud Platform, including free GCE machine types, preemptible VMs, IAM project management, and new APIs for Machine Learning, Vision, and Speech. It also provides an overview of various GCP computing, storage, database and analytics services like Compute Engine, App Engine, Cloud SQL, Cloud Storage, BigQuery, and Dataflow. Join the Google Cloud Platform User Group Taiwan Facebook group for more information on GCP services and events.
JCConf 2015 - 輕鬆學google的雲端開發 - Google App Engine入門(下)Simon Su
?
Google App Engine provides various developer tools and services to build cloud applications easily. These include Cloud Logging for viewing logs, Cloud Debugging for debugging applications, and Cloud Monitoring for integrating with monitoring systems. It also provides security scanning. Developers can use modules and managed virtual machines on App Engine to build applications. Common runtimes on managed VMs include Node.js, Python, Java, and Go. Local testing and deployment to the cloud is simplified.
JCConf 2015 - 輕鬆學google的雲端開發 - Google App Engine入門(上)Simon Su
?
The document discusses Google App Engine and provides an introduction to developing cloud applications on Google App Engine. It covers topics like the Google App Engine development environment, data storage using Datastore, querying data, task queues, cron jobs, and other Google Cloud Platform services like Cloud SQL, Cloud Storage, and authentication. Code examples are provided to demonstrate common operations in Google App Engine like storing, querying and retrieving entity data from Datastore.
The document outlines the planned activities for GCPUG.TW in 2016, including holding monthly meetups in Taipei with speakers on Google Cloud Platform technologies in odd months and core member discussions in even months. It also plans a yearly big event, potential non-scheduled meetups, seasonal training sessions, and involvement in other community events. The goals for the year include expanding events outside Taipei, collaborating with other GCPUG chapters internationally, and interacting with other technology communities.
This document summarizes Google Cloud Platform (GCP) learning resources. It provides an overview of GCP services like Compute Engine, App Engine, and Cloud Storage. It then lists various official training resources from Google including courses, exams, and documentation. Links are also provided to the GCP blog, GitHub, and other sources of information about GCP.
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