DOCSLIB.ORG

Get Sta Ed with Google Cloud

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Get Sta Ed with Google Cloud 8/23/2020 Documentation | Google Cloud GeDOtC Ss (t#)aed with Google Cloud Jump right into code, transfer your knowledge, or see the big picture. Google Cloud Cloud basics (/docs/overview) Develop an understanding of cloud development and of Google Cloud. Enterprise guides (/docs/enterprise/onboarding-checklist) Follow a guided sequence for conguring Google Cloud for the enterprise. Plaorm comparison (/docs/compare) Compare Google Cloud with AWS, Azure, OpenStack, and on-premises data centers. Google Cloud free tier (/free/docs/gcp-free-tier) Learn about a free trial to get started with Google Cloud and what products are always free. Program "Hello, Google Cloud" Get started with Google Cloud using a familiar programming language: Java (/java/docs) Node.js (/nodejs/docs) Python (/python/docs) C# / .NET (/dotnet/docs) Go (/go/docs) Ruby (/ruby/docs) PHP (/php/docs) https://cloud.google.com/docs/ 1/28 8/23/2020 Documentation | Google Cloud Build solutions on Google Cloud ExploDrOeC pSo p(#u)lar solutions, tutorials, and best practices. Top use cases Deploy a web app on managed Kubernetes (/kubernetes-engine/docs/tutorials/hello-app) Package a web application in a Docker container image and then run the container image. Run a managed Node.js app on App Engine (/nodejs/getting-started/tutorial-app) Use Node.js to work with a sample app that uses App Engine, Datastore, Cloud Storage, and Pub/Sub. Build a recommendation system with machine learning (/solutions/machine-learning/recommendation-system-tensorow-create-model) Implement an ML-based recommendation system with TensorFlow and AI Platform. Build a Cloud Function using command-line tools (/functions/docs/quickstart) Create and deploy a Cloud Function written using Node.js, Python, or Go. Exploratory queries with BigQuery (/community/tutorials/data-science-exploration) Explore a dataset in BigQuery using interactive SQL queries. Set up a CD pipeline with GKE and Spinnaker (/solutions/continuous-delivery-spinnaker-kubernetes-engine) Create a continuous delivery pipeline using GKE, Cloud Source Repositories, Cloud Build, and Spinnaker. https://cloud.google.com/docs/ 2/28 8/23/2020 Documentation | Google Cloud Best practices DOCS (#) Migrating VMs to Compute Engine (/solutions/best-practices-migrating-vm-to-compute-engine) Learn best practices for migrating computing workloads to Compute Engine. Securely connecting to VMs (/solutions/connecting-securely) Establish secure communication to and from Compute Engine instances. Operating containers (/solutions/best-practices-for-operating-containers) Follow recommendations for making containers easier to operate, from security to monitoring and logging. Compute Engine regions (/solutions/best-practices-compute-engine-region-selection) Consider criteria for which regions to use for your Compute Engine resources. Design paerns for expoing Cloud Logging (/solutions/design-patterns-for-exporting-stackdriver-logging) Explore best practices for common logging export scenarios. Floating IP addresses (/solutions/best-practices-oating-ip-addresses) Learn alternatives to using oating IP addresses when migrating applications from on-premises to Compute Engine. VM image management (/solutions/image-management-best-practices) Understand the best ways to create and manage Compute Engine VM images. Verifying instance identity (/compute/docs/instances/verifying-instance-identity) Use signatures to conrm the identity of an instance that you're connecting to. https://cloud.google.com/docs/ 3/28 8/23/2020 Documentation | Google Cloud Designing robust systems (/compute/docs/tutorials/robustsystems) Design systems using Compute Engine that can withstand disruptions. Best practices for enterprise organizations DOCS (#) (/docs/enterprise/best-practices-for-enterprise-organizations) Learn how to set up organizations, manage identities, congure networking, establish logging, and more. Building containers (/solutions/best-practices-for-building-containers) Follow recommendations for making containers easier to build and easier to run in GKE. Using IAM and Cloud Billing in higher education (/solutions/best-practices-for-iam-and-billing-in-higher-education) Understand important issues for setting up your institution's Google Cloud environment. Transferring large datasets to Google Cloud (/solutions/migration-to-google-cloud-transferring-your-large-datasets) Review important considerations for planning and implementing a data transfer to Google Cloud. Best practices for SQL Server (/compute/docs/instances/sql-server/best-practices) Optimize Compute Engine instances that run Microsoft SQL Server. Designing for scale on App Engine standard environment (/community/tutorials/appengine-designing-for-scale) Ensure that your App Engine apps will scale to high loads. Optimizing application latency with load balancing (/load-balancing/docs/tutorials/optimize-app-latency) Learn how your choice of a specic load balancer on Google Cloud affects end-to-end latency. https://cloud.google.com/docs/ 4/28 8/23/2020 Documentation | Google Cloud All solutions (/docs/tutorials) Architecture (/docs/tutorials#architecture) DImOpCrSo v e(# th)e application life cycle with fully integrated cloud services that work across on-premises and public clouds. Database (/docs/tutorials?sortby=relevance#database) Create, manage, and migrate databases in Google Cloud. DevOps (/docs/tutorials#devops) Free your developers to focus on writing code, not managing infrastructure. Financial services (/docs/tutorials#nancial%2Bservices) Analyze huge datasets while helping to keep customers' information secure. Hybrid cloud (/docs/tutorials#hybrid) Modernize workloads in place using an open, secure, and ecient cloud. Machine learning (/docs/tutorials#machine%2Blearning) Create AI solutions for your enterprise using prebuilt or custom models. Migration (/docs/tutorials#migration) Choose your path to the cloud—lift and shift, application change, or hybrid. Networking (/docs/tutorials#networking) Connect your infrastructure to Google Cloud on your terms, from anywhere. SAP (/docs/tutorials#sap) Run your critical business applications on the secure Google global infrastructure. Sma analytics (/solutions/smart-analytics/reference-patterns/overview) https://cloud.google.com/docs/ 5/28 8/23/2020 Documentation | Google Cloud Get sample code and technical reference guides for common analytics use cases. Big data and analysis (/docs/tutorials#big%2Bdata) Perform data analysis using an integrated and serverless platform for workloads of any size or complexity. DOCS (#) Development and test (/docs/tutorials#development%2Band%2Btest) Automate deployment, architecture, and compliance for all your servers. Enterprise (/docs/tutorials#enterprise) Empower employees to securely get work done anywhere, on any device. Gaming (/docs/tutorials#gaming) Engage a worldwide player base with dynamic, shared gaming experiences. Internet of Things (/docs/tutorials#iot) Unlock business insights from your global device network. Media (/docs/tutorials#media) Entertain, educate, and delight your audiences worldwide. Mobile applications (/docs/tutorials#mobile) Build scalable, globally available apps and websites. Retail and commerce (/docs/tutorials#retail%2Band%2Bcommerce) Keep customers happy with frictionless, personalized shopping experiences. Security (/docs/tutorials#security) Help protect customer data using Google Cloud's security model and world-scale infrastructure. Storage (/docs/tutorials#storage) Securely store long-term data while providing ready access. https://cloud.google.com/docs/ 6/28 8/23/2020 Documentation | Google Cloud Web hosting and computing (/docs/tutorials#computing) Host and deploy your website, blog, or online store with 99.95% guaranteed uptime. DOCS (#) Cloud products Browse guides for all Google Cloud products, services, and tools. Featured products Compute Engine (/compute/docs) Create and deploy scalable, high-performance VMs. Cloud Run (/run/docs) Run stateless containers on a fully managed environment or on Anthos. Anthos (/anthos/docs) Modernize existing apps and build new apps rapidly in hybrid and multi-cloud environments. Vision AI (/vision/overview/docs) Derive insights from images, text, and more using custom or pretrained models. Cloud Storage (/storage/docs) Store objects with global edge caching. Cloud SQL (/sql/docs) Add MySQL, PostgreSQL, and SQL Server database services to your apps. https://cloud.google.com/docs/ 7/28 8/23/2020 Documentation | Google Cloud BigQuery (/bigquery/docs) Understand your data using a fully managed, highly scalable data warehouse with built-in ML. Security key enforcement DOCS (#) (https://support.google.com/cloudidentity/answer/175197?hl=en&ref_topic=2759193) Enforce the use of security keys to help prevent account takeovers. AI and Machine Learning AI building blocks AutoML (/automl/docs) Easily train high-quality, custom ML models. Vision AI (/vision/overview/docs) Derive insights from images, text, and more using custom or pretrained models. Video AI (/video-intelligence/overview/docs) Enable powerful content discovery and engaging video experiences. Cloud Natural Language API (/natural-language/docs) Derive insights from unstructured text. Cloud Translation (/translate/docs) Dynamically translate between languages. Text-to-Speech (/text-to-speech/docs) Convert text to natural-sounding speech using ML. https://cloud.google.com/docs/ 8/28 8/23/2020 Documentation | Google Cloud Speech-to-Text (/speech-to-text/docs) Convert speech to text using the
Load more

Recommended publications
  • HW&Co. Landscape Industry Reader Template
    TECHNOLOGY, MEDIA, & TELECOM QUARTERLY SOFTWARE SECTOR REVIEW │ 3Q 2016 www.harriswilliams.com Investment banking services are provided by Harris Williams LLC, a registered broker-dealer and member of FINRA and SIPC, and Harris Williams & Co. Ltd, which is authorised and regulated by the Financial Conduct Authority. Harris Williams & Co. is a trade name under which Harris Williams LLC and Harris Williams & Co. Ltd conduct business. TECHNOLOGY, MEDIA, & TELECOM QUARTERLY SOFTWARE SECTOR REVIEW │ 3Q 2016 HARRIS WILLIAMS & CO. OVERVIEW HARRIS WILLIAMS & CO. (HW&CO.) GLOBAL ADVISORY PLATFORM CONTENTS . DEAL SPOTLIGHT . M&A TRANSACTIONS – 2Q 2016 KEY FACTS . SOFTWARE M&A ACTIVITY . 25 year history with over 120 . SOFTWARE SECTOR OVERVIEWS closed transactions in the . SOFTWARE PRIVATE PLACEMENTS last 24 months OVERVIEW . SOFTWARE PUBLIC COMPARABLES . Approximately 250 OVERVIEW professionals across seven . TECHNOLOGY IPO OVERVIEW offices in the U.S. and . DEBT MARKET OVERVIEW Europe . APPENDIX: PUBLIC COMPARABLES DETAIL . Strategic relationships in India and China HW&Co. Office TMT CONTACTS Network Office UNITED STATES . 10 industry groups Jeff Bistrong Managing Director HW&CO. TECHNOLOGY, MEDIA & TELECOM (TMT) GROUP FOCUS AREAS [email protected] Sam Hendler SOFTWARE / SAAS INTERNET & DIGITAL MEDIA Managing Director [email protected] . Enterprise Software . IT and Tech-enabled . AdTech and Marketing . Digital Media and Content Services Solutions Mike Wilkins . Data and Analytics . eCommerce Managing Director . Infrastructure and . Data Center and . Consumer Internet . Mobile [email protected] Managed Services Security Software EUROPE Thierry Monjauze TMT VERTICAL FOCUS AREAS Managing Director [email protected] . Education . Fintech . Manufacturing . Public Sector and Non-Profit . Energy, Power, and . Healthcare IT . Professional Services . Supply Chain, Transportation, TO SUBSCRIBE PLEASE EMAIL: Infrastructure and Logistics *[email protected] SELECT RECENT HW&CO.
    [Show full text]
  • Real-Time Backend Architecture Using Node.Js, Express and Google Cloud
    Anh Vu Real-time backend architecture using Node.js, Express and Google Cloud Platform Metropolia University of Applied Sciences Bachelor of Information Technology Information Technology Bachelor’s Thesis 5 January 2021 Abstract Anh Vu Author Real-time backend using NodeJS, Express and Google Cloud Title Platform NumBer of Pages 47 pages Date 5 January 2021 Degree Bachelor of Engineering Degree Programme Information Technology Professional Major MoBile Solutions Instructors Petri Vesikivi, Head of MoBile Solutions Real-time applications, which assure the latency within the defined time limit, are becoming more popular due to the growth of Software as a service trend. Before the evolution of cloud computing, the only solution was to use native WebSockets which are difficult to set up and develop. Recently, Google Cloud Platform provides a developer-friendly, fast and responsive platform to make the process of developing real-time applications seamless. The purpose of the thesis was to demonstrate and Build a scalaBle, high-available and reliaBle Backend architecture using Node.js and Google Cloud Platform. The thesis consists of a theoretical background including Node.js, monolithic and microservices architecture, serverless architecture and real-time dataBase, which provide basic understanding of different architectures and technical solutions. The advantages and disadvantages of the architecture were also clearly analyzed and evaluated. Furthermore, a minimum viable product for a taxi booking app was created to demonstrate the architecture usage in a real use case. To summarize, the thesis aimed to provide the insights of real-time Backend architecture using Node.js and Google Cloud Platform. Moreover, the benefits of using this technology stacks were carefully examined in a case study.
    [Show full text]
  • The Book of Apigee Edge Antipatterns V2.0
    The Book of Apigee Edge Antipatterns Avoid common pitfalls, maximize the power of your APIs Version 2.0 Google Cloud ​Privileged and confidential. ​apigee 1 Contents Introduction to Antipatterns 3 What is this book about? 4 Why did we write it? 5 Antipattern Context 5 Target Audience 5 Authors 6 Acknowledgements 6 Edge Antipatterns 1. Policy Antipatterns 8 1.1. Use waitForComplete() in JavaScript code 8 1.2. Set Long Expiration time for OAuth Access and Refresh Token 13 1.3. Use Greedy Quantifiers in RegularExpressionProtection policy​ 16 1.4. Cache Error Responses 19 1.5. Store data greater than 512kb size in Cache ​24 1.6. Log data to third party servers using JavaScript policy 27 1.7. Invoke the MessageLogging policy multiple times in an API proxy​ 29 1.8. Configure a Non Distributed Quota 36 1.9. Re-use a Quota policy 38 1.10. Use the RaiseFault policy under inappropriate conditions​ 44 1.11. Access multi-value HTTP Headers incorrectly in an API proxy​ 49 1.12. Use Service Callout policy to invoke a backend service in a No Target API proxy 54 Google Cloud ​Privileged and confidential. ​apigee 2 2. Performance Antipatterns 58 2.1. Leave unused NodeJS API Proxies deployed 58 3. Generic Antipatterns 60 3.1. Invoke Management API calls from an API proxy 60 3.2. Invoke a Proxy within Proxy using custom code or as a Target 65 3.3. Manage Edge Resources without using Source Control Management 69 3.4. Define multiple virtual hosts with same host alias and port number​ 73 3.5.
    [Show full text]
  • Google Certified Professional - Cloud Architect.Exam.57Q
    Google Certified Professional - Cloud Architect.exam.57q Number : GoogleCloudArchitect Passing Score : 800 Time Limit : 120 min https://www.gratisexam.com/ Google Certified Professional – Cloud Architect (English) https://www.gratisexam.com/ Testlet 1 Company Overview Mountkirk Games makes online, session-based, multiplayer games for the most popular mobile platforms. Company Background Mountkirk Games builds all of their games with some server-side integration, and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk’s current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting. Solution Concept Mountkirk Gamesis building a new game, which they expect to be very popular. They plan to deploy the game’s backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database. Technical Requirements Requirements for Game Backend Platform 1. Dynamically scale up or down based on game activity 2. Connect to a managed NoSQL database service 3. Run customize Linux distro Requirements for Game Analytics Platform 1. Dynamically scale up or down based on game activity 2. Process incoming data on the fly directly from the game servers 3. Process data that arrives late because of slow mobile networks 4. Allow SQL queries to access at least 10 TB of historical data 5. Process files that are regularly uploaded by users’ mobile devices 6.
    [Show full text]
  • Manpreet Singh
    MANPREET SINGH SUMMARY OF EXPERTISE ​ ​ ● 1 Year of Co-op experience at SAP as SLT/HANA Product support Engineer. ● 2+ years of full time experience in US IT firm named Cognizant as Java and ESB Developer. ● Broad understanding of Machine Learning, AI and hands on with latest developments in IoT. ● Experience in Penetration Testing, Intrusion Detection, Digital forensics and Risk Management. ● Sound Knowledge and Experience in Google API Management Platform named Apigee. ● Well acquainted with knowledge related to IT Infrastructure and SOA architecture. ● Good organizational, analytical, problem-solving skills and a great team player. ACADEMIC & PROFESSIONAL DEVELOPMENT Master of Engineering (Sep 2017 - Apr 2019) University of Victoria, Canada ​ Electrical and Computer Engineering Bachelor of Technology (Aug 2011 - May 2015) LPU, Punjab, India Electronics and Communication Engineering TECHNICAL SKILLS Enterprise Tools SAP SLT, Apigee Edge, SAG webMethods, Soap UI, Splunk, SNow Penetration Testing Tools Nessus, Zenmap, Wireshark, Hydra, Burp-suite, Metasploit Programming C++, Java, Python Database MySQL Web Development Wordpress, HTML5, CSS3 Network TCP/IP, OSI Model, WLAN/LAN technologies Operating System Windows, Linux (Kali), Mac OS, iOS, Android Interpersonal Leadership, Teamwork, Time Management, Communication WORK EXPERIENCE Software Dev QA Engineer 1 (August 2019- Present) Fortinet Technologies, Burnaby, BC Canada. ● Work as Software developer for various security interfaces. ● Work as QA engineer for testing the code in production and development. Product Support Engineer (Sept 2018 – August 2019) SAP, Vancouver, Canada SAP Landscape Transformation Replication Server (SLT) Engineer ● Worked as a SLT product support engineer; handling Configurations, Troubleshooting and Incident Handling for top SAP clients. ● Handled (VH) priority issues for real business problems using live troubleshooting sessions for Max Attention Customers like Apple, Porsche, Coca-Cola.
    [Show full text]
  • Data Warehouse Offload to Google Bigquery
    DATA WAREHOUSE OFFLOAD TO GOOGLE BIGQUERY In a world where big data presents both a major opportunity and a considerable challenge, a rigid, highly governed traditional enterprise data warehouse isn’t KEY BENEFITS OF MOVING always the best choice for processing large workloads, or for applications like TO GOOGLE BIGQUERY analytics. Google BigQuery is a lightning-fast cloud-based analytics database that lets you keep up with the growing data volumes you need to derive meaningful • Reduces costs and business value, while controlling costs and optimizing performance. shifts your investment from CAPEX to OPEX Pythian’s Data Warehouse Offload to Google BigQuery service moves your workload from an existing legacy data warehouse to a Google BigQuery data • Scales easily and on demand warehouse using our proven methodology and Google experts–starting with a fixed-cost Proof of Concept stage that will quickly demonstrate success. • Enables self-service analytics and advanced analytics GETTING STARTED The Pythian Data Warehouse Offload to Google BigQuery service follows a proven methodology and delivers a Proof of Concept (POC) that demonstrates viability and value within three to four weeks. The POC phase will follow this workflow: 1. Assess existing data warehouse environment to identify tables and up to two reports that will be offloaded in this phase 2. Provision GCP infrastructure including Cloud storage, Bastion hosts, BigQuery, and Networking 3. Implement full repeatable extract/load process for selected tables 4. Implement selected reports on BigQuery 5. Produce report PYTHIAN DELIVERS By the end of the first stage of our engagement, you can expect to have: • Working prototype on BigQuery • Up to two reports • Demonstrated analysis capabilities using one fact with five associated dimensions www.pythian.com • Report that includes: an assessment of your current setup and support you need to plan and maintain your full (including a cost analysis for BigQuery), performance/ Google BigQuery data warehouse and enterprise analytics usability analysis of POC vs.
    [Show full text]
  • Google Cloud Whitepaper
    1 Table of contents Introduction 3 The compliance landscape for UK health and social care data 4 Legislation governing UK health data 4 Overview of NHS Digital in England 6 Overview of the Use of Public Cloud Guidance 6 Overview of the DSP Toolkit 7 Google Cloud Platform information governance overview 8 Google Cloud Platform’s approach to security and data protection 8 The Shared Responsibility Model 12 How Google Cloud Platform meets NHS Information Governance requirements 13 Data Security Standard 1 13 Data Security Standard 2 20 Data Security Standard 3 22 Data Security Standard 4 22 Data Security Standard 5 25 Data Security Standard 6 26 Data Security Standard 7 29 Data Security Standard 8 31 Data Security Standard 9 32 Data Security Standard 10 33 How Google Cloud Platform helps customers meet their DSP Toolkit requirements 34 Google Cloud Platform products to help with compliance 34 Google Cloud Platform Terms of Service and Conditions 37 Additional Resources to help Google Cloud Platform customers 37 Conclusion 38 2 Disclaimer This document was last updated in O ctober 2020 a nd is for informational purposes only. Google does not intend the information or recommendations in this document to constitute legal advice. Each customer must independently evaluate its own particular use of the services as appropriate to support its legal compliance obligations. Since Google is continually improving security and other features for our customers, some of the policies, procedures, and technologies mentioned in this document may have changed. Please visit cloud.google.com/security/compliance or contact your Google Cloud Account Representative to check for updated information.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Enterprise Procurement with GCP Marketplace Spend Smart, Procure Fast, and Help Your Development Team Succeed
    Enterprise Procurement with GCP Marketplace Spend smart, procure fast, and help your development team succeed Be development’s strategic business partner Google Cloud offers a robust, enterprise-tailored, and vetted set of business solutions that will help establish you as a development ally. Spend strategically with options that can draw down your GCP committed spend, and enable your developers to procure directly from GCP Marketplace. Lastly, simplify multi-cloud billing with Orbitera Cloud Billing and Cost Management. Benefits ● Solutions are vetted by Google for security “We use GCP Marketplace to sell our vulnerabilities. Deployment options for industry-leading security solutions and for GCP, on-prem, and multi-cloud. purchasing because they support enterprise procurement with features such as private ● Solutions offer deployment templates so pricing and subscriptions." they launch quickly into the destination environment. Jane Chung VP Public Cloud ● Flexible and consolidated billing models Palo Alto Networks that fit your business needs. What’s new? Partner spotlight Free trial capability for Kubernetes, SaaS, and VM solutions. Subscription and private pricing options for some paid solutions. Anthos applications which can be deployed on-prem and in Google Cloud. For more information visit ​cloud.google.com/marketplace Features No Separate Billing Relationships Flexible Pricing Get solutions to your team fast by eliminating the Get individualized solution pricing quotes with need for separate billing agreements for partner private pricing. Subscription and usage-based solutions. Purchases from GCP Marketplace billing models fit various business needs. have Google as the seller of record. Retire Committed Spend Integrated Solutions Solutions procured through GCP Marketplace Remove deployment headaches with solutions may count toward GCP committed spend, if you that are tightly integrated with GCP and feature have a GCP spend agreement.
    [Show full text]
  • Frequently Asked Questions for Google Bigquery Connector
    Frequently Asked Questions for Google BigQuery Connector © Copyright Informatica LLC 2017, 2021. Informatica, the Informatica logo, and Informatica Cloud are trademarks or registered trademarks of Informatica LLC in the United States and many jurisdictions throughout the world. A current list of Informatica trademarks is available on the web at https:// www.informatica.com/trademarks.html. Abstract This article describes frequently asked questions about using Google BigQuery Connector to read data from and write data to Google BigQuery. Supported Versions • Cloud Data Integration Table of Contents General Questions............................................................ 2 Performance Tuning Questions................................................... 5 General Questions What is Google Cloud Platform? Google Cloud Platform is a set of public cloud computing services offered by Google. It provides a range of hosted services for compute, storage, and application development that run on Google hardware. Google Cloud Platform services can be accessed by software developers, cloud administrators, and other enterprise IT professionals over the public internet or through a dedicated network connection. Google Cloud Platform provides Google BigQuery to perform data analytics on large datasets. How can I access Google Cloud Platform? You must create a Google service account to access Google Cloud Platform. To create a Google service account, click the following URL: https://cloud.google.com/ What are the permissions required for the Google service
    [Show full text]
  • What's New for Google in 2020?
    Kevin A. McGrail [email protected] What’s new for Google in 2020? Introduction Kevin A. McGrail Director, Business Growth @ InfraShield.com Google G Suite TC, GDE & Ambassador https://www.linkedin.com/in/kmcgrail About the Speaker Kevin A. McGrail Director, Business Growth @ InfraShield.com Member of the Apache Software Foundation Release Manager for Apache SpamAssassin Google G Suite TC, GDE & Ambassador. https://www.linkedin.com/in/kmcgrail 1Q 2020 STORY TIME: Google Overlords, Pixelbook’s Secret Titan Key, & Googlesplain’ing CES Jan 2020 - No new new hardware was announced at CES! - Google Assistant & AI Hey Google, Read this Page Hey Google, turn on the lights at 6AM Hey Google, Leave a Note... CES Jan 2020 (continued) Google Assistant & AI Speed Dial Interpreter Mode (Transcript Mode) Hey Google, that wasn't for you Live Transcripts Hangouts Meet w/Captions Recorder App w/Transcriptions Live Transcribe Coming Next...: https://mashable.com/article/google-translate-transcription-audio/ EXPERT TIP: What is Clipping? And Whispering! Streaming Games - Google Stadia Android Tablets No more Android Tablets? AI AI AI AI AI Looker acquisition for 2.6B https://www.cloudbakers.com/blog/why-cloudbakers-loves-looker-for-business-intelligence-bi From Thomas Kurian, head of Google Cloud: “focusing on digital transformation solutions for retail, healthcare, financial services, media and entertainment, and industrial and manufacturing verticals. He highlighted Google's strengths in AI for each vertical, such as behavioral analytics for retail,
    [Show full text]