Google Genomics Documentation Release V1
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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. -
Spectrum Spatial Analyst Table of Contents
Location Intelligence Spectrum™ Spatial Analyst Version 12.2 Spectrum Spatial Analyst Table of Contents Delete Records 34 1 - Getting Started 6 - Building a Query Overview 5 Supported Browsers and Operating Systems 7 Create a Query 37 Supported Languages 8 Styling Query 38 Query Results View 39 2 - Signing-in 7 - Adding Layers Adding Vector Layers 43 3 - Learn the Basics Editing Vector Layer 46 Getting Help 13 Keyboard Shortcuts 13 8 - Working with Thematic Map URL Launch Parameters 14 Navigating in the Map 14 Creating an Individual Value Thematic Map 50 Search 17 Creating a Ranged Thematic Map 52 Map Information Callout 19 Creating a Graduated Symbol Thematic Map 54 Change the Map Configuration 20 Deleting a Thematic Map 55 Switch the Base Maps 20 Changing the Language 21 Working with Map Legend 22 9 - Working with Annotations Draw a Point 57 4 - SSA Template Designer Draw a Line 57 Draw a Circle 58 Creating New Template 26 Draw Polygon 59 Editing Template 29 Draw Rectangle 59 Draw Concentric Ring 60 Draw Ellipse 61 5 - Adding and Editing New Draw Sector 61 Records Draw Drive Time Polygon 62 Text Annotation 62 Adding New Records 32 Import Annotation 63 Edit Records 33 Editing Annotation 63 Annotation Properties 65 Summarizing Data in Single and Multiple Annotation 73 Styling Annotation 76 10 - Measuring Distance and Area Measuring Distance 81 Measuring an Area 81 11 - Multi-select Feature 12 - Printing Maps Print Preview 85 Spectrum™ Spatial Analyst 12.2 Spectrum Spatial Analyst 3 1 - Getting Started To get started, refer to the following help topics: In this section Overview 5 Supported Browsers and Operating Systems 7 Supported Languages 8 Getting Started Overview Spectrum Spatial Analyst User's Guide is an interactive mapping service provided by Pitney Bowes Inc. -
Creating Static Store Pages Using a Custom 404 Error Handler
Search Engine Optimization for a ProductCart-powered Store Creating Static Store Pages Using a Custom 404 Error Handler ABOUT THIS DOCUMENT .................................................................................................................................1 BEFORE YOU START ........................................................................................................................................2 INSTALLATION: ................................................................................................................................................3 IMPORTANT NOTES ..........................................................................................................................................4 POSSIBLE PERFORMANCE ISSUES .....................................................................................................................4 RESOURCES......................................................................................................................................................4 About This Document Using a custom 404 error handler, you can rewrite the URL of dynamic pages so that they look and behave like static “.htm” pages. The following paragraphs explain how to edit your existing ProductCart store to accomplish this. Here is an example of our own software store at www.earlyimpact.com uses this feature. We have highlighted the category and product name in the URLs below. The following category page: http://www.earlyimpact.com/eistore/productcart/pc/viewcategories.asp?idcategory=118 -
Package 'Hrbrthemes'
Package ‘hrbrthemes’ February 26, 2017 Type Package Title Additional Themes, Theme Components and Utilities for 'ggplot2' Version 0.1.0 Date 2017-02-25 Maintainer Bob Rudis <[email protected]> Description A compilation of extra 'ggplot2' themes, scales and utilities, including a spell check function plot label fields and an overall emphasis on typography. A copy of the 'Google' font 'Roboto Condensed' <https://github.com/google/roboto/> is also included to support one of the typography-oriented themes. URL http://github.com/hrbrmstr/hrbrthemes BugReports https://github.com/hrbrmstr/hrbrthemes/issues Copyright file inst/COPYRIGHTS License MIT + file LICENSE Suggests testthat, dplyr, knitr, rmarkdown, gridExtra Depends R (>= 3.2.0) Imports ggplot2 (>= 2.2.1), grid, scales, extrafont, hunspell, stringi, purrr RoxygenNote 6.0.0 VignetteBuilder knitr NeedsCompilation no Author Bob Rudis [aut, cre], Google [cph] (Roboto Condensed Font) Repository CRAN Date/Publication 2017-02-26 00:47:44 R topics documented: font_an . .2 font_rc . .2 1 2 font_rc gg_check . .3 hrbrthemes . .4 hrbrthemes-exports . .4 import_roboto_condensed . .4 ipsum_pal . .5 scale_colour_ipsum . .5 scale_x_percent . .6 theme_ipsum . .7 theme_ipsum_rc . .9 update_geom_font_defaults . 11 Index 12 font_an Arial Narrow font name R variable aliases Description font_an == "Arial Narrow" Usage font_an Format length 1 character vector font_rc Roboto Condensed font name R variable aliases Description font_rc == "Roboto Condensed" font_fc_light == "Roboto Condensed Light" Usage font_rc font_rc_light -
Iot Based Smart Home Assistant
International Journal for Research in Engineering Application & Management (IJREAM) ISSN : 2454-9150 Vol-06, Issue-03, June 2020 IOT BASED SMART HOME ASSISTANT 1Saajan Kumar Jha, 2Nishit Jain, 3Mukund Badatiya, 4Dr. Vinayak Shinde 1,2,3Student, 4Head and Associate Professor, Computer Engineering, Shree L.R Tiwari College of Engineering, Mumbai, India, [email protected], [email protected], [email protected], [email protected] Abstract — The world is full of automation and the people living in this world are surrounded with automated systems. Industries, business sectors, even homes are being automated. Operating various home appliances conveniently along with saving energy are the prominent factors possessed by Smart Home. A quick increase is seen in people's needs in order to develop the social economy of appliances present in a house. If we look at the existing system, we have Google home and Amazon echo which provide functionalities such as switching on/off appliances remotely from anywhere. This paper primarily focuses on a smart home system which allows users to control any electrical appliance using their smart phone google assistant. Apart from this the system also helps in keeping a track on air quality, sound and light intensity, temperature and humidity of home. It also provides analysis of the aforesaid parameters using various graphical methods. It starts the appliance itself on detecting human motion and notifies the user about the same so in case if there is an intrusion the user will come to know about the same. It also takes care of user’s safety as it informs about gas leakage and fire detection preventing any major damage. -
Cloud Data Management
Data Management in the Cloud - current issues and research directions Patrick Valduriez Esther Pacitti DNAC Congress, Paris, nov. 2010 http://www.med-hoc-net-2010.org SOPHIA ANTIPOLIS - MÉDITERRANÉE Is Research Needed in the Cloud? Grand Challenge • Cost-effective support of the very large scale of the infrastructure to manage lots of users and resources with high QoS Current solutions are ad-hoc and proprietary • Developed by Web industry giants such as Amazon, Google, Microsoft, Yahoo – EgE.g. Google File System (GFS) • Specific, simple applications with low consistency needs But the research community is catching up • Many new conferences and journals on Cloud Computing – Distributed systems, OS, data management communities • Open Source alternatives, e.g. Hadoop HDFS • As the complexity of applications increases, the implication of the research community is needed 2/28 Outline OLTP vs OLAP apps in the cloud Grid vs cloud architecture Cloud data management solutions • Distributed file management with GFS • Distributed database managggement with Bigtable and Pnuts • Parallel data processing with MapReduce Issues Research directions 3/28 Cloud Benefits Reduced cost • Customer side: the IT infrastructure needs not be owned and managed, and billed only based on resource consumption • Cloud ppygp,rovider side: by sharing costs for multiple customers, reduces its cost of ownership and operation to the minimum Ease of access and use • Customers can have access to IT services anytime, from anywhere with an Internet connection Quality of Service -
A Model for the Systems Architecture of the Future
A Model for the Systems Architecture of the Future Prof. Paul A. Strassmann George Mason University, December 5, 2005 1 Prof. Strassmann, GMU Lecture, 12/05/05 - REPRODUCED BY PERMISSION ONLY Data-Centric Era; IBM Dominates Hundred Sources 1950-1980 Months⇒Weeks 2 Prof. Strassmann, GMU Lecture, 12/05/05 - REPRODUCED BY PERMISSION ONLY Workgroup-Centric Era; Microsoft, INTEL Dominate Million Sources Hundred Sources 1950-1980 1980-2010 Weeks⇒Days Months⇒Weeks 3 Prof. Strassmann, GMU Lecture, 12/05/05 - REPRODUCED BY PERMISSION ONLY Network-Centric Era; Google and Cisco? +Multi-Media +Text Billions Sources Data Million Sources Hundred Sources 1950-1980 1980-2010 2010- Days⇒Real-Time Weeks⇒Days Months⇒Weeks 4 Prof. Strassmann, GMU Lecture, 12/05/05 - REPRODUCED BY PERMISSION ONLY Example of a Network-Centric System 5 Prof. Strassmann, GMU Lecture, 12/05/05 - REPRODUCED BY PERMISSION ONLY Network-Centric Requirements (2010) • Downtime (< 5 min/yr); • Display (200 Billion ops/sec); • Connectivity (> 1 Gigabyte/sec); • Access (< 0.25 sec); • Innovation (< 1 day); • Security (> 8 sigma). 6 Prof. Strassmann, GMU Lecture, 12/05/05 - REPRODUCED BY PERMISSION ONLY Performance (2005) • Infrastructure = > 50% of spending; • Security = ?; • Integration = > 50% of applications; • Network downtime = > 1 hour/year; • Innovation = > 1 year. 7 Prof. Strassmann, GMU Lecture, 12/05/05 - REPRODUCED BY PERMISSION ONLY Conclusion • Network-Centric systems cannot be built on Workgroup-Centric architecture. 8 Prof. Strassmann, GMU Lecture, 12/05/05 - REPRODUCED BY PERMISSION ONLY Network-Centric Principles (Google) 1. Build & operate protected information network; 2. Offer universal connectivity for: – Collection, processing and storing of information; – Provide secured communications. 3. -
Zazzle RSS and Google Base Guide
Zazzle RSS and Google Base Guide Version 1.0 2 Copyright (c) 2008, Zazzle.com All rights reserved. Zazzle® is a registered trademark of Zazzle.com. Google® is a registered trademark and Google Base™ a trademark of Google. OpenSearch is made available by A9.com, Inc., an Amazon.com company, and is compatible with Creative Commons licensing. Amazon.com® is a registered trademark of Amazon. RSS media extensions originated with the Yahoo “rss-media” group and is compatible with Creative Commons licensing. Yahoo® is a registered trademark of Yahoo, Inc. Firefox® is a registered trademark of Mozilla. All other trademarks and registered trademarks are the property of their respective owners. No part of this manual may be modified, altered, transmitted, transcribed, stored in a retrieval system, or translated into any language or computer language, in any form or by any means, electronic, mechanical, magnetic, optical, chemical, manual, or otherwise, without the prior written permission of Zazzle.com. You may make one copy of this manual for your internal business or personal use. ZAZZLE.COM MAKES NO WARRANTY OF ANY KIND WITH REGARD TO THE MATERIAL CONTAINED IN THIS MANUAL, EITHER EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, INCLUDING, WITHOUT LIMITATION, THE IMPLIED WARRANTIES OF MERCHANTABILITY, NON- INFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. THE MATERIAL CONTAINED IN THIS MANUAL IS PROVIDED AS-IS. WITH RESPECT TO THE MATERIAL CONTAINED IN THIS MANUAL, IN NO EVENT WILL ZAZZLE.COM OR ITS AFFILIATES BE LIABLE FOR: ANY DIRECT DAMAGES, ANY INCIDENTAL, CONSEQUENTIAL, SPECIAL, INDIRECT, EXEMPLARY OR PUNITIVE DAMAGES, WHETHER ARISING IN TORT, CONTRACT, OR OTHERWISE; OR FOR LOST PROFITS, LOST SAVINGS, LOSS OF BUSINESS OR ANTICIPATORY PROFITS, EVEN IF ZAZZLE.COM OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. -
Product Listing Ads for Beginners by Elizabeth Marsten Product Listing Ads for Beginners
Product Listing Ads for Beginners By Elizabeth Marsten www.portent.com Product Listing Ads for Beginners Legal, Notes and Other Stuff © 2013, The Written Word, Inc. d/b/a Portent, Inc. and Elizabeth Marsten. This work is licensed under the Creative Commons Attribution-Noncom- mercial-No Derivative Works 3.0 United States License. * * * Who is this book for? Click here to read the license. Those new to Product Listings Ads and/or the world of product feeds and Google Shopping in general. That’s a fancy way of saying: please don’t steal from me. It’s not cool. Especially those who are looking for some step by step If you like this book, you might want to check out Elizabeth’s posts at the and best practice guidance. Portent blog www.portent.com. * * * If you want to talk to Elizabeth, you can reach her on Twitter @ebkendo or by email at [email protected] 2 www.portent.com Product Listing Ads for Beginners Table of Contents 4 What are PLAs? 8 What You Need 9 Getting Started » AdWords » Merchant Center » Webmaster Tools » Product Feed 42 Tracking Progress 46 Troubleshooting 3 www.portent.com Product Listing Ads for Beginners What are PLAs? How do they work, where do they show? Google rolled out Product Listing Ads (PLAs) in early 2011. PLAs show paid ads with images, price and sometimes promotional text in 3-6 ad blocks depending on the query and available results on both a typical SERP and on Google Shopping SERPs. Prior to October 2012, results on the main page of a Google Shopping SERP were organic (and free) generated by prod- uct feeds submitted by merchants through Google Merchant Center and through crawls performed by googlebot during regular web crawls of sites in the Google index. -
Create a Created Date Schema in Bigquery
Create A Created Date Schema In Bigquery Denominative Elmore canoodles funereally. Auxiliary Rudy acquiesce: he unbar his aril adequately and contagiously. Overreaching Randolf excused some scrabble and shacks his syneresis so midnight! Wait polls with exponential backoff. The schema in tests are many cases. Perform various levels of dates in schema definition file somewhere on create date column when you created in an identical data will lead at. You'd may that avoiding two scans of SALES would improve performance However remember most circumstances the draw BY version takes about twice as suite as the lot BY version. You run some SQL queries against that data. The script then creates a partition function, if configured. The order in which clustering is done matters. Developer relations lead at SKB Kontur. We create schema in the dates and their very wide variety of bigquery operation creates a working directory as a few seconds of model you. By using the client libraries. Database services to migrate, please leave it empty. What are partitions in SQL? In our case the join condition is matching dates from the pedestrian table and the bike table. The mother source records need is have a machine image updates to merge correctly. Python community version selection works in schema of bigquery operation on create date column can be created in a new custom schema tab. Once per store the data needs to simplify etl to any data are also a bigquery? Google Analytics 360 users that have that up the automatic BigQuery export will rejoice by this. Whether to automatically infer options and schema for CSV and JSON sources. -
Overview Objectives Exploring the Bigquery Console
CS6502 - APPLIED BIG DATA AND VISUALIZATION (Spring 2020) Lab 3 Overview SQL (Structured Query Language) is a standard language for data operations that allows you to ask questions and get insights from structured datasets. It's commonly used in database management and allows you to perform tasks like transaction record writing into relational databases and petabyte-scale data analysis. This lab serves as an introduction to SQL and is intended to prepare you for the many labs in this course. This lab is divided into two parts: in the first half, you will learn fundamental SQL querying keywords, which you will run in the BigQuery console on a public dataset that contains information on London bikeshares. In the second half, you will learn how to export subsets of the London bikeshare dataset into CSV files, which you will then upload to Cloud SQL. From there you will learn how to use Cloud SQL to create and manage databases and tables. Towards the end, you will get hands-on practice with additional SQL keywords that manipulate and edit data. Objectives In this lab, you will learn how to: ● Distinguish databases from tables and projects. ● Use the SELECT, FROM, and WHERE keywords to construct simple queries. ● Identify the different components and hierarchies within the BigQuery console. ● Load databases and tables into BigQuery. ● Execute simple queries on tables. ● Learn about the COUNT, GROUP BY, AS, and ORDER BY keywords. ● Execute and chain the above commands to pull meaningful data from datasets. ● Export a subset of data into a CSV file and store that file into a new Cloud Storage bucket. -
School of Geosciences DISSERTATION for the Degree Of
School of GeoSciences DISSERTATION For the degree of MSc in GIS and Archaeology Student Name: Danielle R Goetz Date: August 2014 Holyrood Park Stone Tools Mobile Application HPST PART I: Research Paper "Copyright of this dissertation is retained by the author and The University of Edinburgh. Ideas contained in this dissertation remain the intellectual property of the author and their supervisors, except where explicitly otherwise referenced. All rights reserved. The use of any part of this dissertation reproduced, transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise or stored in a retrieval system without the prior written consent of the author and The University of Edinburgh (Institute of Geography) is not permitted." "I declare that this dissertation represents my own work, and that where the work of others has been used it has been duly accredited. I further declare that the length of the components of this dissertation is 5,000 words for the Research Paper and 10,000 words for the Technical Report." Signed ____________________ Date _______________________________ “RCAHMS database for Holyrood Park. Includes, Site, Event and Bibliographic records provided in an MS Access database. Site locations, site area extents (extracted from Defining ScotlandsPlaces DSP) and the RCAHMS field survey extent and mapping (collected through dGPS). Non commercial use in accordance with the terms of Licence. RCAHMS data to be used in Android Mobile application as part of the student project. No sale or sales distribution permitted. Joint research project between RCAHMS and University of Edinburgh. Data is Copyright RCAHMS” Acknowledgements This project would not have been possible without the assistance from many wonderful people.