CATALOGUE 2021 Mobile Phone Accessories Catalogue 2021
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F1 Query: Declarative Querying at Scale
F1 Query: Declarative Querying at Scale Bart Samwel John Cieslewicz Ben Handy Jason Govig Petros Venetis Chanjun Yang Keith Peters Jeff Shute Daniel Tenedorio Himani Apte Felix Weigel David Wilhite Jiacheng Yang Jun Xu Jiexing Li Zhan Yuan Craig Chasseur Qiang Zeng Ian Rae Anurag Biyani Andrew Harn Yang Xia Andrey Gubichev Amr El-Helw Orri Erling Zhepeng Yan Mohan Yang Yiqun Wei Thanh Do Colin Zheng Goetz Graefe Somayeh Sardashti Ahmed M. Aly Divy Agrawal Ashish Gupta Shiv Venkataraman Google LLC [email protected] ABSTRACT 1. INTRODUCTION F1 Query is a stand-alone, federated query processing platform The data processing and analysis use cases in large organiza- that executes SQL queries against data stored in different file- tions like Google exhibit diverse requirements in data sizes, la- based formats as well as different storage systems at Google (e.g., tency, data sources and sinks, freshness, and the need for custom Bigtable, Spanner, Google Spreadsheets, etc.). F1 Query elimi- business logic. As a result, many data processing systems focus on nates the need to maintain the traditional distinction between dif- a particular slice of this requirements space, for instance on either ferent types of data processing workloads by simultaneously sup- transactional-style queries, medium-sized OLAP queries, or huge porting: (i) OLTP-style point queries that affect only a few records; Extract-Transform-Load (ETL) pipelines. Some systems are highly (ii) low-latency OLAP querying of large amounts of data; and (iii) extensible, while others are not. Some systems function mostly as a large ETL pipelines. F1 Query has also significantly reduced the closed silo, while others can easily pull in data from other sources. -
Containers at Google
Build What’s Next A Google Cloud Perspective Thomas Lichtenstein Customer Engineer, Google Cloud [email protected] 7 Cloud products with 1 billion users Google Cloud in DACH HAM BER ● New cloud region Germany Google Cloud Offices FRA Google Cloud Region (> 50% latency reduction) 3 Germany with 3 zones ● Commitment to GDPR MUC VIE compliance ZRH ● Partnership with MUC IoT platform connects nearly Manages “We found that Google Ads has the best system for 50 brands 250M+ precisely targeting customer segments in both the B2B with thousands of smart data sets per week and 3.5M and B2C spaces. It used to be hard to gain the right products searches per month via IoT platform insights to accurately measure our marketing spend and impacts. With Google Analytics, we can better connect the omnichannel customer journey.” Conrad is disrupting online retail with new Aleš Drábek, Chief Digital and Disruption Officer, Conrad Electronic services for mobility and IoT-enabled devices. Solution As Conrad transitions from a B2C retailer to an advanced B2B and Supports B2C platform for electronic products, it is using Google solutions to grow its customer base, develop on a reliable cloud infrastructure, Supports and digitize its workplaces and retail stores. Products Used 5x Mobile-First G Suite, Google Ads, Google Analytics, Google Chrome Enterprise, Google Chromebooks, Google Cloud Translation API, Google Cloud the IoT connections vs. strategy Vision API, Google Home, Apigee competitors Industry: Retail; Region: EMEA Number of Automate Everything running -
URBAN MOBILITY - WALLY CLICK ICON for Size: 106 X 62 X 8 Mm Logo Size: 90 X 45 Mm PRODUCT VIDEO
URBAN MOBILITY - WALLY CLICK ICON FOR Size: 106 x 62 x 8 mm Logo Size: 90 X 45 mm PRODUCT VIDEO Up to 6 cards RFID Blocking Hold cards sized 85 x 55 mm: Keeps your cards protected from smart entry cards, public transport RF readers or mobile apps capable How to brand? cards, bank card, ID cards etc. of electronic theft Your logo engraved on aluminum surface with high precision laser. Card slider trigger Simply pull the trigger and your cards will eject for an easy acces. Craft paper packaging Wally Carta is a secured (credit) card holder for the minimalists. It offers room for up to 6 cards and has integrated RFID protection technology to keep your cards and personal information safe. No more bending and breaking. Wally Carta’s aluminium foundation protects your cards while remaining small enough to fit in any pocket. ue8premium DESIGNED FOR BRAND ADDITION URBAN MOBILITY - WALLY CARTA CLICK ICON FOR Size: 106 x 62 x 15 mm Logo Size: 90 X 45 mm PRODUCT VIDEO RFID Blocking Keeps your cards protected from RF readers or mobile apps capable of electronic theft Genuine leather How to brand? Your logo embossed on leather. Craft paper packaging Wally Carta is a card and cash carrier for the minimalists. It is modern in its styling and combining natural materials as leather and aluminium it offers something that not many others on the market Card slider trigger Up to 7 cards Cash strap offer: RFID blocking and a luxurious feel at the same time. Simply pull the trigger and Hold cards sized Cash Strap is the slimmest This sleek wallet can hold up to 7 cards without stretching out and your cards will eject for an 85 x 55 mm: smart entry solution to secure easy acces. -
Spanner: Becoming a SQL System
Spanner: Becoming a SQL System David F. Bacon Nathan Bales Nico Bruno Brian F. Cooper Adam Dickinson Andrew Fikes Campbell Fraser Andrey Gubarev Milind Joshi Eugene Kogan Alexander Lloyd Sergey Melnik Rajesh Rao David Shue Christopher Taylor Marcel van der Holst Dale Woodford Google, Inc. ABSTRACT this paper, we focus on the “database system” aspects of Spanner, Spanner is a globally-distributed data management system that in particular how query execution has evolved and forced the rest backs hundreds of mission-critical services at Google. Spanner of Spanner to evolve. Most of these changes have occurred since is built on ideas from both the systems and database communi- [5] was written, and in many ways today’s Spanner is very different ties. The first Spanner paper published at OSDI’12 focused on the from what was described there. systems aspects such as scalability, automatic sharding, fault tol- A prime motivation for this evolution towards a more “database- erance, consistent replication, external consistency, and wide-area like” system was driven by the experiences of Google developers distribution. This paper highlights the database DNA of Spanner. trying to build on previous “key-value” storage systems. The pro- We describe distributed query execution in the presence of reshard- totypical example of such a key-value system is Bigtable [4], which ing, query restarts upon transient failures, range extraction that continues to see massive usage at Google for a variety of applica- drives query routing and index seeks, and the improved blockwise- tions. However, developers of many OLTP applications found it columnar storage format. -
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. -
Spanner: Google's Globally-Distributed Database
Spanner: Google's Globally-Distributed Database Corbett, Dean, et al. Jinliang Wei CMU CSD October 20, 2013 Jinliang Wei (CMU CSD) Spanner: Google's Globally-Distributed Database Corbett,October 20,Dean, 2013 et 1 al./ 21 What? - Key Features I Globally distributed I Versioned data I SQL transactions + key-value read/writes I External consistency I Automatic data migration across machines (even across datacenters) for load balancing and fautl tolerance. Jinliang Wei (CMU CSD) Spanner: Google's Globally-Distributed Database Corbett,October 20,Dean, 2013 et 2 al./ 21 External Consistency I Equivalent to linearizability I If a transaction T1 commits before another transaction T2 starts, then T1's commit timestamp is smaller than T 2. I Any read that sees T2 must see T1. I The strongest consistency guarantee that can be achieved in practice (Strict consistency is stronger, but not achievable in practice). Jinliang Wei (CMU CSD) Spanner: Google's Globally-Distributed Database Corbett,October 20,Dean, 2013 et 3 al./ 21 Why Spanner? I BigTable I Good performance I Does not support transaction across rows. I Hard to use. I Megastore I Support SQL transactions. I Many applications: Gmail, Calendar, AppEngine... I Poor write throughput. I Need SQL transactions + high throughput. Jinliang Wei (CMU CSD) Spanner: Google's Globally-Distributed Database Corbett,October 20,Dean, 2013 et 4 al./ 21 Spanserver Software Stack Figure: Spanner Server Software Stack Jinliang Wei (CMU CSD) Spanner: Google's Globally-Distributed Database Corbett,October 20,Dean, 2013 et 5 al./ 21 Spanserver Software Stack Cont. I Spanserver maintains data and serves client requests. -
Scalable Crowd-Sourcing of Video from Mobile Devices
Scalable Crowd-Sourcing of Video from Mobile Devices Pieter Simoens†, Yu Xiao‡, Padmanabhan Pillai•, Zhuo Chen, Kiryong Ha, Mahadev Satyanarayanan December 2012 CMU-CS-12-147 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 †Carnegie Mellon University and Ghent University ‡Carnegie Mellon University and Aalto University •Intel Labs Abstract We propose a scalable Internet system for continuous collection of crowd-sourced video from devices such as Google Glass. Our hybrid cloud architecture for this system is effectively a CDN in reverse. It achieves scalability by decentralizing the cloud computing infrastructure using VM-based cloudlets. Based on time, location and content, privacy sensitive information is automatically removed from the video. This process, which we refer to as denaturing, is executed in a user-specific Virtual Machine (VM) on the cloudlet. Users can perform content-based searches on the total catalog of denatured videos. Our experiments reveal the bottlenecks for video upload, denaturing, indexing and content-based search and provide valuable insight on how parameters such as frame rate and resolution impact the system scalability. Copyright 2012 Carnegie Mellon University This research was supported by the National Science Foundation (NSF) under grant numbers CNS-0833882 and IIS-1065336, by an Intel Science and Technology Center grant, by the Department of Defense (DoD) under Contract No. FA8721-05-C-0003 for the operation of the Software Engineering Institute (SEI), a federally funded research and development center, and by the Academy of Finland under grant number 253860. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily represent the views of the NSF, Intel, DoD, SEI, Academy of Finland, University of Ghent, Aalto University, or Carnegie Mellon University. -
Develop and Deploy Apps More Easily with Cloud Spanner and Cloud Bigtable Updates | Google Cloud Blog
8/23/2020 Develop and deploy apps more easily with Cloud Spanner and Cloud Bigtable updates | Google Cloud Blog Blog Menu D ATAB ASES Develop and deploy apps more easily with Cloud Spanner and Cloud Bigtable updates FinDde aenp tai rStricivlaes..t.ava Product Manager, Cloud Spanner Misha Brukman Latest storiPersoduct Manager, Cloud Bigtable October 11, 2018 Products Topics About One of our goals at Google Cloud is to offer all the database choices that you want as managed services in order to remove operational complexity and toil from your day. RSS Feed We’ve got a full range of managed database services to address a variety of your workload needs. We’re always working to add features to our databases to make your https://cloud.google.cwomo/rbklogb/puroildduicntsg/datapbpassese/daesveielorp-and-deploy-apps-more-easily-with-cloud-spanner-and-cloud-bigtable-updates 1/6 8/23/2020 Develop and deploy apps more easily with Cloud Spanner and Cloud Bigtable updates | Google Cloud Blog work building apps easier. Today at Next London ‘18, we’re excited to announce the general availability of two important new features for two of our cloud-native database offerings: Cloud Spanner Blog and Cloud Bigtable. Menu Cloud Spanner: We’re adding enhancements to Cloud Spanner’s SQL capabilities to make it easier to read and write data in Cloud Spanner databases using SQL, and use off-the-shelf drivers and tooling. Cloud Spanner’s API now supports INSERT, UPDATE, and DELETE SQL statements. Cloud Bigtable: We’re offering Key Visualizer so you can see key access patterns in heatmap format to optimize your Cloud Bigtable schemas for improved performance. -
Trusting Your Data with Google Cloud Platform 2
Google Cloud whitepaper September 2019 Trusting your data with Google Cloud Platform 2 Table of contents 1. Introduction 3 2. Managing your data lifecycle on GCP 4 2.1 Data usage 2.2 Data export/archive/backup 2.3 Data governance 2.4 Data residency 2.5 Security configuration management 2.6 Third party security solutions 2.7 Incident detection & response 3. Managing Google's access to your data 9 3.1 How does Google safeguard your data from unauthorized access? 3.2 Data export/archive/backup 3.2 Customer controls over Google access to data 3.3 Data access transparency 3.4 Google employee access authorization 3.5 What happens if we get a lawful request from a government for data? 4. Security and compliance standards 13 4.1 Independent verification of our control framework 4.2 Compliance support for customers Conclusion 14 Appendix: URLs 15 The information contained herein is intended to outline general product direction and should not be relied upon in making purchasing decisions nor shall it be used to trade in the securities of Alphabet Inc. The content is for informational purposes only and may not be incorporated into any contract. The information presented is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Any references to the development, release, and timing of any features or functionality described for these services remains at Google’s sole discretion. Product capabilities, time frames and features are subject to change and should not be viewed as Google commitments. 3 1. Introduction At Google Cloud we’ve set a high bar for what it means to host, serve, and protect customer data. -
Spanner: Becoming a SQL System
Spanner: Becoming a SQL System David F. Bacon Nathan Bales Nico Bruno Brian F. Cooper Adam Dickinson Andrew Fikes Campbell Fraser Andrey Gubarev Milind Joshi Eugene Kogan Alexander Lloyd Sergey Melnik Rajesh Rao David Shue Christopher Taylor Marcel van der Holst Dale Woodford Google, Inc. ABSTRACT this paper, we focus on the “database system” aspects of Spanner, Spanner is a globally-distributed data management system that in particular how query execution has evolved and forced the rest backs hundreds of mission-critical services at Google. Spanner of Spanner to evolve. Most of these changes have occurred since is built on ideas from both the systems and database communi- [5] was written, and in many ways today’s Spanner is very different ties. The first Spanner paper published at OSDI’12 focused on the from what was described there. systems aspects such as scalability, automatic sharding, fault tol- A prime motivation for this evolution towards a more “database- erance, consistent replication, external consistency, and wide-area like” system was driven by the experiences of Google developers distribution. This paper highlights the database DNA of Spanner. trying to build on previous “key-value” storage systems. The pro- We describe distributed query execution in the presence of reshard- totypical example of such a key-value system is Bigtable [4], which ing, query restarts upon transient failures, range extraction that continues to see massive usage at Google for a variety of applica- drives query routing and index seeks, and the improved blockwise- tions. However, developers of many OLTP applications found it columnar storage format. -
How to Integrate Google Cloud Spanner with Denodo
How to integrate Google Cloud Spanner with Denodo Revision 20210421 NOTE This document is confidential and proprietary of Denodo Technologies. No part of this document may be reproduced in any form by any means without prior written authorization of Denodo Technologies. Copyright © 2021 Denodo Technologies Proprietary and Confidential How to integrate Google Cloud Spanner with Denodo 20210421 2 of 15 CONTENTS 1 INTRODUCTION.................................................................2 1.1 SAMPLE GOOGLE CLOUD SPANNER DATABASE.................................3 2 CREATING A SERVICE ACCOUNT AND KEY IN GOOGLE CLOUD SPANNER............................................................................4 3 CONNECTING TO GOOGLE CLOUD SPANNER USING THE JDBC DRIVER...............................................................................8 3.1 DOWNLOAD THE JDBC DRIVER........................................................8 3.2 INSTALL THE JDBC DRIVER IN THE DENODO PLATFORM....................8 3.3 CONNECT TO GOOGLE CLOUD SPANNER........................................10 3.4 CREATE A JDBC DATA SOURCE.......................................................10 3.5 CREATE A BASE VIEW...................................................................13 4 REFERENCES...................................................................16 1 INTRODUCTION Spanner is a NewSQL database designed, built, and deployed at Google for OLTP systems. It is a fully managed, mission-critical, relational database service that offers transactional consistency at a global -
Ziox QUIQ Flash 4G Speaks Your Language First Look First
www.mymobileindia.com MAY 2017 Rs 100 TM www.mymobileindia.com FOR A CONNECTED LIFESTYLE APP Tested Samsung Galaxy A5 GROWTH (2017), HTC U Ultra, Vivo STORY Y66, Samsung Galaxy C9 Pro, Coolpad Note 5 Lite, GOES ON! and more... FIRSTCALL igital India and Make in India are monumental and complimentary programs, one aimed at democratizing the governance and access to EDITORIAL information by leveraging the power of technology D Pankaj Mohindroo | Editor-in-Chief while the other seeks to leverage the inherent capabilities to enhance domestic manufacturing prowess, employment Shelley Vishwajeet | Editor creation and income growth. And mobile happens to be Gagandeep Kaur | Contributing Editor the biggest bridge between the two programs. Mobile and Ramesh Kumar Raja | Assistant Editor components are one field where manufacturing potential is humungous and government has been rolling out policies Haider Ali Khan | Senior Correspondent to give it a big push and there have been very encouraging Vanshika Malhotra | Reporter results so far though further actions are definitely required. Editorpage The policy is also a very fair one which creates a level DESIGN playing field among domestic and foreign manufactures. Ajit Kumar Parashar | Sr. Graphic Designer It does not seek to be selective based on geography or nationality. If it was not so, India would not be seeing manufacturers and brands from nearly half a dozen countries MARKETING doing a great business here. That’s why a report appearing Puja Mohindroo | Manager - Business in a China’s official daily stating that “China would be Sandeep Kumar | Sr. Manager – Marketing forced to undertake retaliatory measures if India resorts to protectionism” comes as a shock, is alarmist in nature and OPERATIONS has the potential to create bilateral rift.