Google Certified Professional - Cloud Architect.Exam.57Q
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Google-Cloud Documentation Release 0.20.0
google-cloud Documentation Release 0.20.0 Google Cloud Platform October 06, 2016 google-cloud 1 Base Client 1 2 Credentials Helpers 5 3 Base Connections 9 4 Exceptions 13 5 Environment Variables 17 6 Configuration 19 6.1 Overview................................................. 19 6.2 Authentication.............................................. 19 7 Authentication 21 7.1 Overview................................................. 21 7.2 Client-Provided Authentication..................................... 21 7.3 Explicit Credentials........................................... 22 7.4 Troubleshooting............................................. 23 7.5 Advanced Customization......................................... 24 8 Long-Running Operations 27 9 Datastore Client 29 9.1 Connection................................................ 32 10 Entities 37 11 Keys 39 12 Queries 43 13 Transactions 47 14 Batches 51 15 Helpers 55 16 Storage Client 57 16.1 Connection................................................ 59 i 17 Blobs / Objects 61 18 Buckets 69 19 ACL 77 20 Batches 81 21 Using the API 83 21.1 Authentication / Configuration...................................... 83 21.2 Manage topics for a project....................................... 83 21.3 Publish messages to a topic....................................... 84 21.4 Manage subscriptions to topics..................................... 84 21.5 Pull messages from a subscription.................................... 86 22 Pub/Sub Client 87 22.1 Connection................................................ 88 -
Create Live Dashboards with Google Data Studio
Make Your Library's Data Accessible and Usable Create Live Dashboards with Google Data Studio Kineret Ben-Knaan & Andrew Darby | University of Miami Libraries INTRODUCTION OBJECTIVES AND GOALS STRATEGY AND METHODS PROJECT STATUS This poster presents the implementation of a The aim of the project is to implement a shared and Customized dashboards have been built and shared with collaborative approach and solution for data gathering, straightforward data collection platform, which will harvest Our solution involves the following: several library departments. So far, we have connected data consolidation and most importantly, data multiple, diverse data sources and present statistics in a or imported manually the following isolated data sources ● Move to shared Google Sheets and Forms for any accessibility through a live connection to free Google clear and visually engaging manner. into Google Data Studio: Data Studio dashboards. local departmental data collection, then connect these Our key goals are: sheets to Google Data Studio, a free tool that allows Metric/Data Source by type of Google Data Studio Connector Units at the University of Miami Libraries (UML) have ● To facilitate the use of data from isolated data sources, users to create customized and shareable data long been engaged in data collection activities. Data from Metrics Data Sources Real-time connection Imported manually into visualization dashboards. and Systems & automatically Google Data Studio (on instructional sessions, consultations and all types of user not only to encourage evidence-based decision updated a weekly bases) ● Import and connect other library data sources to interactions have routinely been gathered. Other making, but also to better communicate how UM Instructional & Workshops Google Sheets Yes assessment measures, including surveys and user Libraries’ activities support student learning and faculty Google Data Studio. -
Studi Perbandingan Layanan Cloud Computing
Jurnal Rekayasa Elektrika Vol. 10, No. 4, Oktober 2013 193 Studi Perbandingan Layanan Cloud Computing Afdhal Jurusan Teknik Elektro, Fakultas Teknik, Universitas Syiah Kuala Jl. Tgk. Syech Abdurrauf No. 7 Darussalam, Banda Aceh 23111 e-mail: [email protected] Abstrak—Selama beberapa tahun terakhir, cloud computing telah menjadi topik dominan dalam bidang teknologi informasi dan komunikasi (TIK). Saat ini, cloud computing menyediakan berbagai jenis layanan, antara lain layanan hardware, infrastruktur, platform, dan berbagai jenis aplikasi. Cloud computing telah menjadi solusi dan pelayanan, baik untuk meningkatkan kehandalan, mengurangi biaya komputasi, sampai dengan memberikan peluang yang cukup besar bagi dunia industri TIK untuk mendapatkan keuntungan lebih dari teknologi ini. Namun disisi lain, pengguna akhir (end user) dari layanan ini, tidak pernah mengetahui atau memiliki pengetahuan tentang lokasi fisik dan sistem konfigurasi dari penyedia layanan ini. Tujuan artikel ini adalah untuk menyajikan sebuah pemahaman yang lebih baik tentang klasifikasi-klasifikasi cloud computing, khususnya difokuskan pada delivery service (pengiriman layanan) sebagai model bisnis cloud computing. Artikel ini membahas model-model pengembangan, korelasi dan ketergantungan antara satu model layanan dengan model layanan yang lainnya. Artikel ini juga menyajikan perbandingan dan perbedaan tingkatan-tingkatan dari model delivery service yang dimulai dari mengidentifikasi permasalahan, model pengembangan, dan arah masa depan cloud computing. Pemahaman tentang klasifikasi delivery service dan isu-isu seputar cloud computing akan melengkapi pengetahuan penggunanya untuk menentukan keputusan dalam memilih model bisnis mana yang akan diadopsi dengan aman dan nyaman. Pada bagian akhir artikel ini dipaparkan beberapa rekomendasi yang ditujukan baik untuk penyedia layanan maupun untuk pengguna akhir cloud computing. Kata kunci: cloud computing, delivery service, IaaS, PaaS, SaaS Abstract—In the past few years, cloud computing has became a dominant topic in the IT area. -
Economic and Social Impacts of Google Cloud September 2018 Economic and Social Impacts of Google Cloud |
Economic and social impacts of Google Cloud September 2018 Economic and social impacts of Google Cloud | Contents Executive Summary 03 Introduction 10 Productivity impacts 15 Social and other impacts 29 Barriers to Cloud adoption and use 38 Policy actions to support Cloud adoption 42 Appendix 1. Country Sections 48 Appendix 2. Methodology 105 This final report (the “Final Report”) has been prepared by Deloitte Financial Advisory, S.L.U. (“Deloitte”) for Google in accordance with the contract with them dated 23rd February 2018 (“the Contract”) and on the basis of the scope and limitations set out below. The Final Report has been prepared solely for the purposes of assessment of the economic and social impacts of Google Cloud as set out in the Contract. It should not be used for any other purposes or in any other context, and Deloitte accepts no responsibility for its use in either regard. The Final Report is provided exclusively for Google’s use under the terms of the Contract. No party other than Google is entitled to rely on the Final Report for any purpose whatsoever and Deloitte accepts no responsibility or liability or duty of care to any party other than Google in respect of the Final Report and any of its contents. As set out in the Contract, the scope of our work has been limited by the time, information and explanations made available to us. The information contained in the Final Report has been obtained from Google and third party sources that are clearly referenced in the appropriate sections of the Final Report. -
Every App in the Universe
THE BIGGER BOOK OF APPS Resource Guide to (Almost) Every App in the Universe by Beth Ziesenis Your Nerdy Best Friend The Bigger Book of Apps Resource Guide Copyright @2020 Beth Ziesenis All rights reserved. No part of this publication may be reproduced, distributed, or trans- mitted in any form or by any means, including photocopying, recording or other elec- tronic or mechanical methods, without the prior written permission of the publisher, except in the case of brief quotations embodied in critical reviews and certain other non- commercial uses permitted by copyright law. For permission requests, write to the pub- lisher at the address below. Special discounts are available on quantity purchases by corporations, associations and others. For details, contact the publisher at the address below. Library of Congress Control Number: ISBN: Printed in the United States of America Avenue Z, Inc. 11205 Lebanon Road #212 Mt. Juliet, TN 37122 yournerdybestfriend.com Organization Manage Lists Manage Schedules Organize and Store Files Keep Track of Ideas: Solo Edition Create a Mind Map Organize and Store Photos and Video Scan Your Old Photos Get Your Affairs in Order Manage Lists BZ Reminder Pocket Lists Reminder Tool with Missed Call Alerts NerdHerd Favorite Simple To-Do List bzreminder.com pocketlists.com Microsoft To Do Todoist The App that Is Eating Award-Winning My Manager’s Favorite Productivity Tool Wunderlist todoist.com todo.microsoft.com Wunderlist Plan The Award-Winning Task Manager with a Task Manager and Planning Tool Rabid Fanbase -
Choosing a Database- As-A-Service an Overview of Offerings by Major Public Cloud Service Providers
CHOOSING A DATABASE- AS-A-SERVICE AN OVERVIEW OF OFFERINGS BY MAJOR PUBLIC CLOUD SERVICE PROVIDERS Warner Chaves Principal Consultant, Microsoft Certified Master, Microsoft MVP With Contributors Danil Zburivsky, Director of Big Data and Data Science Vladimir Stoyak, Principal Consultant for Big Data, Certified Google Cloud Platform Qualified Developer Derek Downey, Practice Advocate, OpenSource Databases Manoj Kukreja, Big Data and IT Security Specialist, CISSP, CCAH and OCP When it comes to running your data in the public cloud, there is a range of Database-as-a-Service (DBaaS) offerings from all three major public cloud providers. Knowing which is best for your use case can be challenging. This paper provides a high-level overview of the main DBaaS offerings from Amazon, Microsoft, and Google. After reading this white paper, you’ll have a high-level understanding of the most popular data repositories and data analytics service offerings from each vendor, you’ll know the key differences among the offers, and which ones are best for each use case. With this information, you can direct your more detailed research to a manageable number of options. www.pythian.com | White Paper 1 This white paper does not discuss private cloud providers or colocation environments, streaming, data orchestration, or Infrastructure-as-a-Service (IaaS) offerings. This paper is targeted to IT professionals with a good understanding of databases and also business people who want an overview of data platforms in the cloud. WHAT IS A DBAAS OFFERING? A DBaaS is a database running in the public cloud. Three things define a DBaaS: • The service provider installs and maintains the database software, including backups and other common database administration tasks. -
Announcement
Announcement 68 articles, 2016-03-23 18:03 1 Android Pay is coming to the UK, Google’s first market in Europe (2.00/3) Now signing up 1.5 million users each week in the U. S., Android Pay, Google's payment platform and mobile wallet for Android devices and apps, is coming to.. 2016-03-23 18:02 2KB feedproxy.google.com 2 Bill Gates calls for tighter safeguards on bulk data collection Gates discusses the iPhone case, AI and the Microsoft Surface Book in his latest Reddit chat,Business Software,Privacy ,Microsoft,Bill Gates,Windows 10,Artificial Intelligence 2016-03-23 18:02 2KB www.computing.co.uk 3 Opera to add native ad blocker to desktop web browser Need for speed? Opera's web browser will come with a built-in speedometer ,Software,Internet,Internet of Things,Cloud and Infrastructure ,Opera,Opera Software,Browsers 2016-03-23 18:02 2KB www.computing.co.uk 4 US Department of Defense to migrate millions of PCs to Windows 10 - in just one year DoD to migrate four million desktops in just one year - or, at least, that's the plan,Operating Systems,Software ,Windows,Windows 10,Microsoft,Department of Defense,operating system 2016-03-23 18:02 3KB www.computing.co.uk 5 AI is coming, so we'd better start preparing for it Francois Tung of law firm Pinsent Masons examines the legal implications of rapidly improving artificial intelligence,Cloud and Infrastructure,Software,Legislation and Regulation ,Artificial Intelligence,Machine Learning,Pinsent Masons 2016-03-23 18:02 1017Bytes www.computing.co.uk 6 Security flaw affecting thousands of Linux apps -
Google-Forms-Table-Input.Pdf
Google Forms Table Input Tutelary Kalle misconjectured that norepinephrine picnicking calligraphy and disherit funnily. Inventible and perpendicular Emmy devilling her secureness overpopulating smokelessly or depolarize uncontrollably, is Josh gnathonic? Acidifiable and mediate Townie sneak slubberingly and single-foot his avowers high-up and bloodthirstily. You can use some code, but use this quantity is extremely useful at url and input table Google Forms Date more Time Robertorecchimurzoit. How god set wallpaper a Google Sheet insert a reliable data represent Data. 25 practical ways to use Google Forms in class school Ditch. To read add any question solve a google form using the plus button and wire change our question new to complex choice exceed The question screen shows Rows OptionsAnswer and Columns TopicQuestion that nothing be added in significant amount of example below shows a three-row otherwise four-column point question. How about insert text table in google forms for matrices qustions. Techniques using Add-ons Formulas Formatting Pivot Tables or Apps Script. Or the filetype operator Google searches a sequence of file formats see the skill in. To rest a SQLish syntax in fuel cell would return results from a such in Sheets. Google Form Responses Spreadsheet Has Blank Rows or No. How to seduce a Dynamic Chart in Google Newco Shift. My next available in input table, it against it with it and adds instrument to start to auto populate a document? The steps required to build a shiny app that mimicks a Google Form. I count a google form complete a multiple type question. Text Field React component Material-UI. -
International Journal of Soft Computing and Engineering
International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-2, July 2019 Implementation and Effective Utilization of Analytical Tools and Techniques in Knowledge Management Shivakumar. R knowledge is the knowledge that individuals in organizations Abstract: Knowledge management is a multidisciplinary know that they have and are conscious of it. approach to achieve organizational objectives by making best use The crucial element in any Knowledge Management of knowledge and information resources. Analytics is the process system is to ensure that tacit knowledge is captured and of systematic analysis of the past data/statistics and trying to converted to explicit knowledge. Moreover, it has been predict the future trends or data with various tools and techniques. With the advancement of technology and increasing competition, hypothesized that even explicit knowledge needs to be companies are prone to make better use of the information and converted into information that is meaningful and useful. analytics to sustain their position in the marketplace. Software as After all, mere data is not useful and only when data is a Service (SaaS) has become an important trend in organizations transformed into information and codified as knowledge is it in addition to that of the usual Excel and Google sheets analytics. useful. In this study, comparative analysis has been done between SPSS In today’s rapidly changing business world, it is critical for & Google Sheets Techniques and also Google data studio with business leaders to have the right insight and data to make the Tableau, Power BI & Google Sheets for data visualization right calls at the right time. -
GAE — Google App Engine
GAE — Google App Engine Prof. Dr. Marcel Graf TSM-ClComp-EN Cloud Computing (C) 2017 HEIG-VD Google App Engine Introduction ■ Google App Engine is a PaaS for building scalable web applications and mobile backends. ■ Makes it easy to deploy a web application: ■ The client (developer) supplies the application’s program code. ■ Google’s platform is responsible for running it on its servers and scaling it automatically. ■ The platform offers built-in services and APIs such as NoSQL datastore, memcache and user authentication. ■ There are some restrictions regarding the supported application types. ■ The application cannot access everything on the server. ■ The application must limit its processing time. ■ Launched in April 2008 (preview) ■ In production since September 2011 ■ Supported programming languages and runtimes: ■ Go ■ Node.js ■ PHP ■ .NET ■ Java ■ Ruby ■ Python ■ … TSM-ClComp-EN Cloud Computing | Google App Engine | Academic year 2017/2018 2 Platform as a Service Reminder: Web applications in Java — Servlets ■ A servlet runs inside an application server ■ The server calls the servlet to handle an HTTP request ■ The task of the servlet is to create the response Application server HTTP request Servlet HTTP response Browser Servlet Database Servlet TSM-ClComp-EN Cloud Computing | Google App Engine | Academic year 2017/2018 3 Platform as a Service Reminder: Web applications in Java — Servlets ■ Complete picture of the processing of an HTTP request Application Servlet servier Browser Database HTTP request HTTPServlet Request object URL -
Practice 4 - Data Studio
Practice 4 - Data Studio Database Management Systems 1. Login Connect to Google Data Studio, login with your Google Account or create a new free Google Account. ● https://datastudio.google.com 1 2. Welcome report Click on “Welcome to Data Studio” and follow the tutorial. ● https://datastudio.google.com/reporting/0B5FF6JBKbNJxOWItcWo2SVVVeGc ● learn the basics of the Data Studio tool by copying the “Welcome report” and following the step- by-step instructions provided ● page 8, “Track report usage with Google Analytics”, can be safely skipped 3. Template report Preliminary steps to clone a template report Start from a provided template report to create new data visualizations. ● Return to the Data Studio home page ● Click on “All templates” to open the template gallery ● Choose the “World Population Data” template 2 ● Click on the “Use Template” button to confirm the selection, and accept the Terms and Conditions if you haven’t yet ● Click on the “Create Report” button to confirm the data source selection “[Sample] World Population Data 2005 - 2014” 3 ● If prompted, allow Google Drive access to Data Studio You have just created a new private report, based on the “World Population Data” template 4 Analyze the World Population data source ● Click on the “Add a page” button ● Add the following analyses to the new page of the report ● (Query A) – Add a table in the report to select the following data. Considering only year 2013, select the top-10 countries with the highest “internet %”, and their “population” and “internet users”. ● (Query B) – Add a pivot table in the report to select the following data. -
How Automation Can Help You Manage and Grow Your Ads Business
Ad Manager How automation can help you manage and grow your ads business Publishers continue to face challenges on multiple fronts, from business disruptions caused by COVID-19 to new regulations and changing technology. The concepts of “working from home” and “virtual teams” existed before, but are now a normal part of everyday life for more companies than ever “COVID-19 revenue losses requiring publishers to change the way they manage their operations and have been extensive, prompting redesign their workflows. massive furloughs and layoffs, but on the road to recovery, Publishers are changing the way they work — and to do it, they’re increasingly publishers will be looking for looking for insights into their ads business. In the last 12 months, we’ve seen ways to keep costs low without a 48% increase in reports created in Data Studio for Google Ad Manager*. further reducing staff. Now is That’s why we’ve been working on new ways to help our partners identify a prime time to get focused on opportunities and solve complex problems with Machine Learning. As you improving process and workflow navigate your own journey, this guide can help you save precious time and efficiency to reach a new level resources and create value with automation. of operational excellence.” Ad Monster, Dec ‘20 *Google Ad Manager data, May 2020 vs May 2021. Ad Manager Google Ad Manager can help publishers adapt and do more with less. From the beginning, automation has been a key focus for Ad Manager to help publishers create sustainable businesses with advertising.