TEAM Q3-2019 Shareholder Letter
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Starburst Enterprise on Google Cloud
SOLUTION BRIEF Starburst Enterprise on Google Cloud The Starburst Enterprise Difference As organizations scale up, Starburst Enterprise on Google Cloud drives Available on the Google Cloud Marketplace, the better business outcomes, consistency, and reliability, delighting your data Starburst Enterprise platform is a fully supported, engineers and scientists. Teams look to Starburst Enterprise on Google Cloud production-tested, enterprise-grade distribution for expertise & constant fine-tuning that results in overall lower costs & faster of the open source Trino MPP SQL query engine. time-to-insights: Starburst integrates Google’s scalable cloud storage and computing services with a more Performance: stable, secure, efficient, and cost-effective way Includes the latest optimizations; Starburst Cached Views available for to query all your enterprise data, wherever it frequently accessed data; stable code that minimizes failed queries. resides. Leading organizations across multiple industries Connectivity rely on Starburst Enterprise and Google. 40+ supported enterprise connectors; high performance connectors for Oracle, Teradata, Snowflake, IBM DB2, Delta Lake, and many more. Analytics Anywhere Designed for the separation of storage and Security compute, Trino is ideal for querying data residing in multiple systems, from cloud data lakes to Role-based access control (via Apache Ranger); Kerberos, OKTA, LDAP legacy data warehouses. Deployed via Google integration; data encryption & masking; query auditing to see who is doing what. Kubernetes Engine (GKE), Starburst Enterprise on Google Cloud enables the user to run analytic Management queries across Google Cloud data sources and on-prem systems such as Teradata, Oracle, Enhanced tools for configuration, auto scaling, and Starburst Insights and others via Trino clusters. Within a single monitoring dashboards; easy deployment on Google platforms. -
Empirical Study on Media Monitoring and Internationalisation Resources
MULTISENSOR Mining and Understanding of multilinguaL contenT for Intelligent Sentiment Enriched coNtext and Social Oriented inteRpretation FP7-610411 D2.1 Empirical study on media monitoring and internationalisation resources Dissemination level: Public Contractual date of delivery: Month 6, 30 April 2014 Actual date of delivery: Month 6, 30 April 2014 Workpackage: WP2 Multilingual and multimedia content extraction Task: T2.1 Empirical study Type: Report Approval Status: Final Draft Version: 1.1 Number of pages: 172 Filename: D2.1_EmpiricalStudy_2014-04-30_v1.1.pdf Abstract This empirical study identifies the resources and the type of information that needs to be extracted in the project and their encoding types. In addition it reports information retrieval and crawling techniques that could be employed for the extraction of this information. The information in this document reflects only the author’s views and the European Community is not liable for any use that may be made of the information contained therein. The information in this document is provided as is and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. Page 1 Co-funded by the European Union Page 2 D2.1 – V1.1 History Version Date Reason Revised by 0.1 20/03/2014 Draft V. Aleksić (LT) 0.2 03/04/2014 Comments S. Vrochidis (CERTH), I. Arapakis (BM-Y!) 0.3 15/04/2014 Update V.Aleksić (LT) 0.4 16/04/2014 Document for internal review V.Aleksić (LT) 0.5 24/04/2014 Review A. -
Are3na Crabbé Et Al
ARe3NA Crabbé et al. (2014) AAA for Data and Services (D1.1.2 & D1.2.2): Analysing Standards &Technologies for AAA ISA Action 1.17: A Reusable INSPIRE Reference Platform (ARE3NA) Authentication, Authorization & Accounting for Data and Services in EU Public Administrations D1.1.2 & D1.2.2– Analysing standards and technologies for AAA Ann Crabbé Danny Vandenbroucke Andreas Matheus Dirk Frigne Frank Maes Reijer Copier 0 ARe3NA Crabbé et al. (2014) AAA for Data and Services (D1.1.2 & D1.2.2): Analysing Standards &Technologies for AAA This publication is a Deliverable of Action 1.17 of the Interoperability Solutions for European Public Admin- istrations (ISA) Programme of the European Union, A Reusable INSPIRE Reference Platform (ARE3NA), managed by the Joint Research Centre, the European Commission’s in-house science service. Disclaimer The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. Copyright notice © European Union, 2014. Reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision on the reuse of Commission documents of 12 December 2011. Bibliographic Information: Ann Crabbé, Danny Vandenbroucke, Andreas Matheus, Dirk Frigne, Frank Maes and Reijer Copier Authenti- cation, Authorization and Accounting for Data and Services in EU Public Administrations: D1.1.2 & D1.2.2 – Analysing standards and technologies for AAA. European Commission; 2014. JRC92555 1 ARe3NA Crabbé et al. (2014) AAA for Data and Services (D1.1.2 & D1.2.2): Analysing Standards &Technologies for AAA Contents 1. -
How to Write a Scientific Report
How to Write an EEI Contents: 1. Formatting your report………………………………………………………….page 3 Grammar v Tense………………………. page 5 Data V Crap………………………………… page 5 Googling ……………………………………. page 6 Referencing………………………………… page 8 Bibliography………………………………. page 12 2. Planning your investigation…………………………………………………..page 14 Variables……………………………………… page 16 Assumptions……………………………….. page 16 Experimental Replication……………. page 17 Checklist for Experimental Design page 17 3. Writing your Report……………………………………………………………….page 17 Title ……………………………………………… page 19 Abstract ………………………………………. page 20 Introduction…………………………………. page 21 Hypothesis ………………………………….. page 22 Risk Assessment………………………….. page 23 Variables………………………………………. Page 24/25 Method…………………………………………. Page 26 Results…………………………………………. page 27 Discussion ………………………………….. page 28, 29, 30 Conclusion ………………………………….. page 31 Literature Cited / Bibliography ….. page 33 Appendices………………………………….. page 34 APPENDICIES Appendix 1 – Data Analysis Appendix 3 – Scientific Drawings Appendix 4 – Literature Reviews Appendix 5 – Example/model reports Appendix 6 – False Positive Data Analysis FORMATTING YOUR REPORT Before you start Grammar and Tense FORMATTING Data v Crap! Qualitative v Quantitative data „Googling‟ How to search online Referencing How to cite reference within your text Bibliography How to write a scientific bibliography Use past tense, third person when writing your report…. e.g. “The research into the corrosion of metals was performed to see if …..” not “We did the experiment to see if….” FORMATTING “It -
CIAM Platforms LEADERSHIP COMPASS
KuppingerCole Report LEADERSHIP COMPASS by John Tolbert December 2018 CIAM Platforms This report provides an overview of the market for Consumer Identity and AcCess Management and provides you with a Compass to help you to find the Consumer Identity and ACCess Management produCt that best meets your needs. We examine the market segment, vendor product and service functionality, relative market share, and innovative approaChes to providing CIAM solutions. by John Tolbert [email protected] December 2018 Leadership Compass CIAM Platforms KuppingerCole Leadership Compass CIAM Platforms By KuppingerCole Report No.: 79059 Content 1 Introduction .................................................................................................................................... 6 1.1 Market Segment ...................................................................................................................... 7 1.2 Delivery models ....................................................................................................................... 9 1.3 Required Capabilities .............................................................................................................. 9 2 Leadership .................................................................................................................................... 12 3 Correlated View ............................................................................................................................ 20 3.1 The Market/Product Matrix ................................................................................................. -
Exploring Mood on the Web
ESSE: Exploring Mood on the Web Sara Owsley Sood and Lucy Vasserman Computer Science Department, Pomona College 185 East Sixth Street, Room 232 Claremont, CA 91711 [email protected], [email protected] Abstract Google or Yahoo! afford. Rather, it enables the user to Future machines will connect with users on an emotional browse their topically relevant search results by mood, level in addition to performing complex computations providing the user with a unique perspective on the topic at (Norman 2004). In this article, we present a system that hand. Consider a user wishing to read opinions about the adds an emotional dimension to an activity that Internet new president of the United States. Typing “President users engage in frequently, search. ESSE, which stands for Obama” into a Google search box will return (among other Emotional State Search Engine, is a web search engine that results), a few recent news stories about Obama, the goes beyond facilitating a user’s exploration of the web by Whitehouse’s website, as well as a wikipedia article about topic, as search engines such as Google or Yahoo! afford. him. Typing “President Obama” to a Google Blog Search Rather, it enables the user to browse their topically relevant box user a bit closer to their goal in that all of the results search results by mood, providing the user with a unique perspective on the topic at hand. Consider a user wishing to are indeed blogs (typically opinions) about Obama. read opinions about the new president of the United States. However, where blog search engines fall short is in Typing “President Obama” into a Google search box will providing users with a way to navigate and digest the return (among other results), a few recent news stories about vastness of the blogosphere, the incredible number of Obama, the Whitehouse’s website, as well as a wikipedia results for the query “President Obama” (approximately article about him. -
Lexical Innovation on the Internet - Neologisms in Blogs
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2009 Lexical innovation on the internet - neologisms in blogs Smyk-Bhattacharjee, Dorota Abstract: Studien im Bereich des Sprachwandels beschreiben traditionellerweise diachronische Verän- derungen in den Kernsubsystemen der Sprache und versuchen, diese zu erklären. Obwohl ein Grossteil der Sprachwissenschaftler sich darüber einig ist, dass die aktuellen Entwicklungen in einer Sprache am klarsten im Wortschatz reflektiert werden, lassen die lexikographischen und morphologischen Zugänge zur Beobachtung des lexikalischen Wandels wichtige Fragen offen. So beschäftigen sich letztere typischer- weise mit Veränderungen, die schon stattgefunden haben, statt sich dem sich zum aktuellen Zeitpunkt vollziehenden Wandel zu widmen. Die vorliegende Dissertation bietet eine innovative Lösung zur Un- tersuchung des sich vollziehenden lexikalischen Wandels sowohl in Bezug auf die Datenquelle als auch bzgl. der verwendeten Methodologie. In den vergangenen 20 Jahren hat das Internet unsere Art zu leben, zu arbeiten und zu kommunizieren drastisch beeinflusst. Das Internet bietet aber auch eine Masse an frei zugänglichen Sprachdaten und damit neue Möglichkeiten für die Sprachforschung. Die in dieser Arbeit verwendeten Daten stammen aus einem Korpus englischsprachiger Blogs, eine Art Computer gestützte Kommunikation (computer-mediated communication, CMC). Blogs bieten eine neue, beispiel- lose Möglichkeit, Wörtern nachzuspüren zum Zeitpunkt, in der sie Eingang in die Sprache finden. Um die Untersuchung des Korpus zu vereinfachen, wurde eine Software mit dem Namen Indiana entwickelt. Dieses Instrument verbindet den Korpus basierten Zugang mit einer lexikographischen Analyse. Indiana verwendet eine Kombination von HTML-to-text converter, eine kumulative Datenbank und verschiede Filter, um potentielle Neologismen im Korpus identifizieren zu können. -
La Influencia Del 2.0 En Los Negocios De La Empresa Actual
Empresa 2.0 Proyecto Final de Carrera Ingeniería Técnica Informática de Gestión Autor: Joshua Ivars Medina Tutor: Juan Vicente Oltra Gutiérrez Marzo 2013 Agradecimientos Este trabajo es el resultado de un proceso arduo y laborioso que no hubiera sido posible sin la ayuda de las siguientes personas a las que me gustaría agradecer: A mi tutor, Juan Vicente Oltra, por la atención y orientación que me ha prestado durante todo el proyecto. Al experto en marketing Juan Merodio, que ha sido mi gurú gracias a sus múltiples conferencias que han sido de gran ayuda. Y respondiendo puntualmente todas mis dudas y me ha suministrado información. A mi padre por permitirme hacer mis primeros “experimentos” en esto del marketing digital y que me han sido de gran ayuda para poder aprender a aplicar en la práctica todos estos conocimientos. Mis amigos, mi familia que han estado a mi lado y me han animado y empujado para que avanzara en el proyecto. Me he sentido muy cómodo y realizado trabajando con este proyecto, que espero que sirva de ayuda para cualquier emprendedor o empresario que se quiera iniciar en redes sociales. 1 Tabla de contenido 1. Introducción. Objetivos del PFC ........................................................................................ 3 2. Metodología y Herramientas ............................................................................................ 5 2.1 El 2.0 .................................................................................................................................... 5 2.1.1 ¿Qué es? ...................................................................................................................... -
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, -
Cloud Computing Industry Primer Market Research Research and Education
August 17, 2020 UW Finance Association Cloud Computing Industry Primer Market Research Research and Education Cloud Computing Industry Primer All amounts in $US unless otherwise stated. Author(s): What is Cloud Computing? Rohit Dabke, Kevin Hsieh and Ethan McTavish According to the National Institution of Standards and Research Analysts Technology (NIST), Cloud Computing is defined as a model for Editor(s): enabling network access to a shared pool of configurable John Derraugh and Brent Huang computing resources that can be rapidly provisioned. In more Co-VPs of Research and Education layman terms, Cloud Computing is the delivery of different computing resources on demand via the Internet. These computing resources include network, servers, storage, applications, and other services which users can ‘rent’ from the service provider at a cost, without having to worry about maintaining the infrastructure. As long as an electronic device has access to the web, it has access to the service provided. In the long run, people and businesses can save on cost and increase productivity, efficiency, and security. • Exhibit 1: See below the advantages and features of cloud computing. In general, cloud computing can be broken down into three major categories of service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Infrastructure as a Service (IaaS) IaaS involves the cloud service provider supplying on-demand infrastructure components such as networking, servers, and storage. The customer will be responsible for establishing its own platform and applications but can rely on the provider to maintain the background infrastructure. August 17, 2020 1 UW Finance Association Cloud Computing Industry Primer Major IaaS providers include Microsoft (Microsoft Azure), Amazon (Amazon Web Service), IBM (IBM Cloud), Alibaba Cloud, and Alphabet (Google Cloud). -
Hillside Public Schools Health Related School Closure Plan
Hillside Public Schools 195 Virginia St., Hillside NJ 07205 HILLSIDE PUBLIC SCHOOLS HEALTH RELATED SCHOOL CLOSURE PLAN A. Robert Gregory ACTING SUPERINTENDENT | HILLSIDE PUBLIC SCHOOLS HILLSIDE PUBLIC SCHOOLS PUBLIC HEALTH-RELATED SCHOOL CLOSURE ACTION PLAN The Hillside Public School District is working closely with the New Jersey Department of Education and the New Jersey Department of Health. All school districts were advised that, “schools may be asked to close preemptively or reactively, therefore schools should be making plans for what to do if there are recommendations for closing schools or canceling events.” The Hillside Public Schools Public Health Related Closure Plan will serve as a guide for the HPS District to provide home instruction in the event of such closure and the continuity of essential services. This plan strives to provide equitable access to instruction for all students (PK-12) including provision of special education and related services for students with disabilities, as well as, the provision of school nutrition benefits for eligible students. Any day in which students impacted by a public health-related closure have access to home instruction services consistent with the guidance provided by the NJDOE, will count as a day in which the board of education has provided instruction towards the 180 day requirement (NJSA 18A:7F-9). It only counts toward the 180-day requirement if the closure is strictly related to a public health-related closure and the Chief School Administrator receives the directive to close in writing. The Hillside Public School District encourages all educators and members of the public to recommit to raising awareness of the deep educational and personal harm brought by stigma, bullying and harassment in our schools, and to spread factual public health information without fear or stigmatization. -
Reinventing Business Intelligence for a Modern Data World
overview Reinventing Business Intelligence for a Modern Data World. Changing the way you drive your business. Looker brings BI into the modern era with an adaptable platform that bridges the chasm between your complex data environment and data-hungry business users. Squarely at the center of our solution are savvy data people, who can use Looker to extend their genius throughout your organization. The Looker platform is powered by our Datafold™ Engine. Together with LookML, our extensible modeling language, they enable you to extract full value from your analytic database. A full set of modern tools equips data analysts to explain, transform, and persist aggregated views of data—right where it sits, in the analytic database—and create rich discovery experiences for inquisitive decision-makers. As a result, your business users can explore relationships in data, from the highest summaries, drilling through any level of intermediates down to high-resolution detail. This notion of “folding data”— filtering, sorting, and pivoting on the fly—empowers them to find the data they need. There’s no waiting for predetermined reports. Data is available at the moment of decision, building confidence, driving collaboration, and accelerating success in your organization. User empowerment is also about rapid deployment: Looker users can be exploring data within hours—not weeks or months. 1 Looker Fuels (and Fulfills) the Business User’s Curiosity. Discovery-driven organizations are successful because they empower Exploring and analyzing our data their entire workforce to ask questions. Whether it’s your marketing through Looker has helped us team trying to segment customer audiences or an operations manager exploring issues in capacity, they can use Looker to support their choices develop strategies to increase with hard data.