The presentation provided an overview of Google AdWords feeds including what's new, location feeds, reporting, and best practices. Key updates included feed name uniqueness, new call extension metrics, and three new feed types for apps, reviews, and locations based on Google Places data. Location feeds are associated with a Places account and have attributes and items managed automatically. Reporting on feed item performance is available, and best practices include using built-in versus custom feeds and the proper order for deleting feed components.
This document discusses managing feeds with the AdWords API. It begins with an overview of feed concepts, including what a feed is, its benefits, and an analogy to a database. It then covers creating new feeds by defining attributes, populating feeds with items, and mapping feeds to ad extensions. Best practices are discussed, such as using built-in versus custom feeds. The document demonstrates how to populate ad extensions with feed data and report on feed performance. It encourages reusing example code and provides resources for working with the AdWords API feed services.
Getting started with Google Analytics and the AdWords APImarcwan
Google Analytics is a platform that allows companies to measure user acquisition, behavior, and conversions on their websites. It provides insights into how to improve marketing initiatives and the user experience. The Google Analytics platform includes APIs and SDKs that allow developers to integrate analytics data into their applications. Google Analytics data can be linked with Google AdWords to help optimize advertising campaigns and prove the value of various marketing services by measuring user engagement and conversions after clicks from ads.
The document discusses AdWords scripts for managing multiple AdWords accounts from a central MCC account using JavaScript. It provides an overview of MCC scripts, how to get started with them, and examples of common tasks like accessing child accounts, selecting a specific account, processing accounts in parallel, and returning results.
This document discusses Google AdWords API reporting concepts, tips, classifications of reports, examples, and recent updates. It covers key reporting concepts like single versus multi-attribution and zero impressions. It provides tips on segmentation, special keyword IDs, and when to use different reports. It also gives examples of structure reports, AdWords API integration with Ruby on Rails and App Engine, and highlights reporting updates since version 201309.
La herramienta AwReporting permite descargar informes de AdWords de forma automatizada y almacenarlos en una base de datos local. Esto reduce la curva de aprendizaje para trabajar con la API de AdWords y proporciona un punto de partida para la automatización y optimización de campañas. La herramienta es de código abierto y puede extenderse fácilmente para crear informes personalizados y integrarse con otros sistemas.
El documento presenta consejos y trucos sobre el uso de reportes en la API de AdWords. Explica conceptos clave como la atribución simple vs múltiple y cómo se registran las estadísticas. Además, clasifica los diferentes tipos de reportes y ofrece ejemplos de cómo obtener la estructura de una cuenta y desarrollar aplicaciones que usen reportes.
El documento presenta buenas prácticas y estrategias para manejar los límites de frecuencia (rate limits) de la API de AdWords. Se recomienda agrupar operaciones en pocas solicitudes y actualizar solo los campos necesarios. También se discuten tres enfoques para manejar rate limits usando colas de mensajes, incluyendo una sola cola, colas con selectores y múltiples colas.
This document discusses managing feeds with the AdWords API. It begins with an overview of feed concepts, including what a feed is, its benefits, and an analogy to a database. It then covers creating new feeds by defining attributes, populating feeds with items, and mapping feeds to ad extensions. Best practices are discussed, such as using built-in versus custom feeds. The document demonstrates how to populate ad extensions with feed data and report on feed performance. It encourages reusing example code and provides resources for working with the AdWords API feed services.
Getting started with Google Analytics and the AdWords APImarcwan
Google Analytics is a platform that allows companies to measure user acquisition, behavior, and conversions on their websites. It provides insights into how to improve marketing initiatives and the user experience. The Google Analytics platform includes APIs and SDKs that allow developers to integrate analytics data into their applications. Google Analytics data can be linked with Google AdWords to help optimize advertising campaigns and prove the value of various marketing services by measuring user engagement and conversions after clicks from ads.
The document discusses AdWords scripts for managing multiple AdWords accounts from a central MCC account using JavaScript. It provides an overview of MCC scripts, how to get started with them, and examples of common tasks like accessing child accounts, selecting a specific account, processing accounts in parallel, and returning results.
This document discusses Google AdWords API reporting concepts, tips, classifications of reports, examples, and recent updates. It covers key reporting concepts like single versus multi-attribution and zero impressions. It provides tips on segmentation, special keyword IDs, and when to use different reports. It also gives examples of structure reports, AdWords API integration with Ruby on Rails and App Engine, and highlights reporting updates since version 201309.
La herramienta AwReporting permite descargar informes de AdWords de forma automatizada y almacenarlos en una base de datos local. Esto reduce la curva de aprendizaje para trabajar con la API de AdWords y proporciona un punto de partida para la automatización y optimización de campañas. La herramienta es de código abierto y puede extenderse fácilmente para crear informes personalizados y integrarse con otros sistemas.
El documento presenta consejos y trucos sobre el uso de reportes en la API de AdWords. Explica conceptos clave como la atribución simple vs múltiple y cómo se registran las estadísticas. Además, clasifica los diferentes tipos de reportes y ofrece ejemplos de cómo obtener la estructura de una cuenta y desarrollar aplicaciones que usen reportes.
El documento presenta buenas prácticas y estrategias para manejar los límites de frecuencia (rate limits) de la API de AdWords. Se recomienda agrupar operaciones en pocas solicitudes y actualizar solo los campos necesarios. También se discuten tres enfoques para manejar rate limits usando colas de mensajes, incluyendo una sola cola, colas con selectores y múltiples colas.
An introduction to the new way of handling locations in Google AdWords. This is a brief explanation of the upcoming change that will integrate AdWords with Google My Business.
The document discusses reporting concepts and tips for the AdWords API. It provides an overview of reporting features, explains how to interpret single versus multi-attribution reports, and how to include or exclude zero impressions in reports. The document also outlines useful report types for different data needs and provides code examples for retrieving structural account data and building basic reporting functionality.
This document discusses Google Shopping and Merchant Center. It provides an overview of how to set up and manage Shopping campaigns, including uploading product data through feeds or the Content API, using product dimensions for bidding and filtering, and creating product partitions to organize product inventory. The presenter provides code examples in Java for common tasks like setting up a Shopping campaign, defining product dimensions, and applying filters.
Upgraded URLs allow advertisers to separate final landing page URLs from tracking templates. This provides benefits like access to new tracking parameters without ad review, consolidated URL management, and lower website crawling loads. Final URLs specify the actual landing page. Tracking templates optionally redirect to the final URL while adding tracking. Shared templates and custom parameters also allow hierarchical tracking management.
The document discusses several updates to the AdWords API, including new features that have graduated from beta status. Some key points include:
- New features like offline conversion import, expanded reporting types and fields, and changes to shared budgets.
- Names are now mandatory for campaigns and ad groups. Network settings can no longer toggle search networks. Stats objects are no longer available via API services.
- Five features graduated from beta: display criteria bid modifiers, Dynamic Search Ads, ad group level feeds, flexible bidding strategies, and location bid modifiers.
Google tag manager fundamentals question and answer (june 23 and july 24, 2015)Mahendra Patel
This document contains questions and answers about configuring and using Google Tag Manager. It covers topics like how Tag Manager can help manage website tags, when tags should fire, setting up triggers, using built-in and custom variables, and setting up tags for Google Analytics tracking and Google Ads conversions/remarketing. The assessments contain multiple choice questions testing understanding of Tag Manager fundamentals, implementing the data layer, and using Tag Manager for analytics and advertising integrations like dynamic remarketing.
How to Pass the Google Analytics Individual Qualification Test by Slingshot SEOAarif Nazir
10 practice problems to help you prepare for the Google Analytics
Individual Qualification (IQ) Test. They are based on the syllabus for the GAIQ Test, but keep in mind that this is not an exhaustive list of the study material.
An introduction-to-google-analytics-1198701588721690-4Jerry Wijaya
Google Analytics is a free tool that allows companies to track and analyze website traffic. It provides detailed reports on metrics like visitors, pageviews, goals, and e-commerce transactions. To use it, one needs to install the Google Analytics tracking code on every page of their site. Profiles and filters can then be used to segment traffic and filter out unwanted data. Additional features like goals, funnels, and e-commerce tracking provide further insights. Regular expressions are often used with filters to match patterns in tracked data.
Download "A brief introduction to the technical implementation of Google Analytics". Thanks for your interest in this presentation. I tried to enable the download for the presentation several times, but it just doesn't seem to work.
As an alternative, you can now download the Google Analytics presentation at http://www.queromediashare.com/presentation/Google%20Analytics.ppt
Have fun with it!
Google Analytics is a free tool that allows companies to track and analyze website traffic. It provides detailed reports on metrics like visitors, pageviews, goals, and e-commerce transactions. To use it, one needs to install the Google Analytics tracking code on every page of their site. Profiles and filters can then be used to segment traffic and analyze user behavior in more depth. E-commerce tracking requires additional JavaScript code to pass transaction data like products and sales to Google Analytics.
Getting Started with AdWords API and Google Analyticsmarcwan
Google Analytics is a platform that allows businesses to measure user interactions across devices to gain insights and optimize performance. It offers various analysis tools and APIs that developers can use to build applications that integrate with Google Analytics. The Google Analytics developer program provides benefits like quota increases and promotional opportunities to help developers build successful analytics integrations and applications.
It's an E-Commerce web application build on Django (python) with further advancement. It utilizes Django features and plugins for security against various web attacks. It uses Stripe Integration for payment portal.
[This project was undertaken at TCS as part of industrial exposure curriculum during my B.Tech. Our team won best project award.]
This document summarizes a presentation about new features in the AwReporting tool. AwReporting is an open source Java tool that allows users to download AdWords reports via the API and generate PDF and HTML reports from the data. The presentation covers how to get reports from AwReporting, generate custom reports, do math with report data, and other new features like Google Drive support and performance improvements. It also provides resources for using AwReporting and lists types of reports that can be generated.
The document compares the AdWords UI and API, describing how they map to each other. The UI uses clicks and text inputs for human interaction, while the API uses method calls and messages. The basics like campaigns and ads are represented by tabs in the UI but have dedicated services in the API. Reporting in the UI integrates with management, allowing customization, filtering and downloads. The API accesses reporting via the ReportDownloader using report definitions, selectors and AWQL queries.
The document discusses integrating a fraud prevention platform called Fraudpointer with Google Apps Marketplace. It provides an overview of Google Apps Marketplace and how vendors can list and sell their applications on the marketplace. It then describes how Fraudpointer was integrated, including using single sign-on via OpenID, authorization via two-legged OAuth to access Google APIs on behalf of users, and various Google APIs for features like contacts and spreadsheet integration. Tips are provided around bootstrapping a development environment and common integration points.
This document summarizes a Salesforce developer session on leveraging StandardSetController in Apex and Visualforce to build a custom "Add to Campaigns" application. It discusses using StandardSetController with list view filters to retrieve campaign records, and an Apex controller extension to integrate this with a Visualforce page. It allows users to select multiple campaigns to add a contact or lead to using checkboxes, while leveraging existing platform functionality and custom settings for customization. Code samples demonstrate the controller, wrappers, and custom setting used.
Google Analytics Website Optimizer Slidesharetmg_ltd
How to use web optimiser to test multiple designs and identify which is the best performing. The use of analytics and testing is a vital part of any web strategy and takes the guess work out of identifying design that will work for you.
The document discusses Google Analytics and Google Website Optimizer tools for analyzing website traffic and optimizing website content. It provides an overview of using profiles and filters in Google Analytics to segment traffic data. It also covers setting up goals and funnels to track conversions. For Google Website Optimizer, it describes how to design A/B tests to compare variations of content and evaluate which performs better. The overall purpose is to help users plan, measure, and improve their websites through data-driven optimization.
The document discusses Google Analytics and Google Website Optimizer tools for analyzing website traffic and optimizing website content. It provides an overview of using profiles and filters in Google Analytics to segment traffic data. It also covers setting up goals and funnels to track conversions. For Google Website Optimizer, it describes how to design A/B tests to compare variations of content and evaluate which performs better. The overall purpose is to help users plan, measure, and improve their websites through data-driven optimization.
The document discusses using Google's API and services to optimize AdWords campaigns. It covers using the TargetingIdeaService to generate keyword ideas and get statistics on existing keywords. It also discusses using the TrafficEstimatorService to estimate traffic and costs for new campaigns. Finally, it discusses how to optimize existing campaigns by analyzing report data and replacing underperforming keywords.
An introduction to the new way of handling locations in Google AdWords. This is a brief explanation of the upcoming change that will integrate AdWords with Google My Business.
The document discusses reporting concepts and tips for the AdWords API. It provides an overview of reporting features, explains how to interpret single versus multi-attribution reports, and how to include or exclude zero impressions in reports. The document also outlines useful report types for different data needs and provides code examples for retrieving structural account data and building basic reporting functionality.
This document discusses Google Shopping and Merchant Center. It provides an overview of how to set up and manage Shopping campaigns, including uploading product data through feeds or the Content API, using product dimensions for bidding and filtering, and creating product partitions to organize product inventory. The presenter provides code examples in Java for common tasks like setting up a Shopping campaign, defining product dimensions, and applying filters.
Upgraded URLs allow advertisers to separate final landing page URLs from tracking templates. This provides benefits like access to new tracking parameters without ad review, consolidated URL management, and lower website crawling loads. Final URLs specify the actual landing page. Tracking templates optionally redirect to the final URL while adding tracking. Shared templates and custom parameters also allow hierarchical tracking management.
The document discusses several updates to the AdWords API, including new features that have graduated from beta status. Some key points include:
- New features like offline conversion import, expanded reporting types and fields, and changes to shared budgets.
- Names are now mandatory for campaigns and ad groups. Network settings can no longer toggle search networks. Stats objects are no longer available via API services.
- Five features graduated from beta: display criteria bid modifiers, Dynamic Search Ads, ad group level feeds, flexible bidding strategies, and location bid modifiers.
Google tag manager fundamentals question and answer (june 23 and july 24, 2015)Mahendra Patel
This document contains questions and answers about configuring and using Google Tag Manager. It covers topics like how Tag Manager can help manage website tags, when tags should fire, setting up triggers, using built-in and custom variables, and setting up tags for Google Analytics tracking and Google Ads conversions/remarketing. The assessments contain multiple choice questions testing understanding of Tag Manager fundamentals, implementing the data layer, and using Tag Manager for analytics and advertising integrations like dynamic remarketing.
How to Pass the Google Analytics Individual Qualification Test by Slingshot SEOAarif Nazir
10 practice problems to help you prepare for the Google Analytics
Individual Qualification (IQ) Test. They are based on the syllabus for the GAIQ Test, but keep in mind that this is not an exhaustive list of the study material.
An introduction-to-google-analytics-1198701588721690-4Jerry Wijaya
Google Analytics is a free tool that allows companies to track and analyze website traffic. It provides detailed reports on metrics like visitors, pageviews, goals, and e-commerce transactions. To use it, one needs to install the Google Analytics tracking code on every page of their site. Profiles and filters can then be used to segment traffic and filter out unwanted data. Additional features like goals, funnels, and e-commerce tracking provide further insights. Regular expressions are often used with filters to match patterns in tracked data.
Download "A brief introduction to the technical implementation of Google Analytics". Thanks for your interest in this presentation. I tried to enable the download for the presentation several times, but it just doesn't seem to work.
As an alternative, you can now download the Google Analytics presentation at http://www.queromediashare.com/presentation/Google%20Analytics.ppt
Have fun with it!
Google Analytics is a free tool that allows companies to track and analyze website traffic. It provides detailed reports on metrics like visitors, pageviews, goals, and e-commerce transactions. To use it, one needs to install the Google Analytics tracking code on every page of their site. Profiles and filters can then be used to segment traffic and analyze user behavior in more depth. E-commerce tracking requires additional JavaScript code to pass transaction data like products and sales to Google Analytics.
Getting Started with AdWords API and Google Analyticsmarcwan
Google Analytics is a platform that allows businesses to measure user interactions across devices to gain insights and optimize performance. It offers various analysis tools and APIs that developers can use to build applications that integrate with Google Analytics. The Google Analytics developer program provides benefits like quota increases and promotional opportunities to help developers build successful analytics integrations and applications.
It's an E-Commerce web application build on Django (python) with further advancement. It utilizes Django features and plugins for security against various web attacks. It uses Stripe Integration for payment portal.
[This project was undertaken at TCS as part of industrial exposure curriculum during my B.Tech. Our team won best project award.]
This document summarizes a presentation about new features in the AwReporting tool. AwReporting is an open source Java tool that allows users to download AdWords reports via the API and generate PDF and HTML reports from the data. The presentation covers how to get reports from AwReporting, generate custom reports, do math with report data, and other new features like Google Drive support and performance improvements. It also provides resources for using AwReporting and lists types of reports that can be generated.
The document compares the AdWords UI and API, describing how they map to each other. The UI uses clicks and text inputs for human interaction, while the API uses method calls and messages. The basics like campaigns and ads are represented by tabs in the UI but have dedicated services in the API. Reporting in the UI integrates with management, allowing customization, filtering and downloads. The API accesses reporting via the ReportDownloader using report definitions, selectors and AWQL queries.
The document discusses integrating a fraud prevention platform called Fraudpointer with Google Apps Marketplace. It provides an overview of Google Apps Marketplace and how vendors can list and sell their applications on the marketplace. It then describes how Fraudpointer was integrated, including using single sign-on via OpenID, authorization via two-legged OAuth to access Google APIs on behalf of users, and various Google APIs for features like contacts and spreadsheet integration. Tips are provided around bootstrapping a development environment and common integration points.
This document summarizes a Salesforce developer session on leveraging StandardSetController in Apex and Visualforce to build a custom "Add to Campaigns" application. It discusses using StandardSetController with list view filters to retrieve campaign records, and an Apex controller extension to integrate this with a Visualforce page. It allows users to select multiple campaigns to add a contact or lead to using checkboxes, while leveraging existing platform functionality and custom settings for customization. Code samples demonstrate the controller, wrappers, and custom setting used.
Google Analytics Website Optimizer Slidesharetmg_ltd
How to use web optimiser to test multiple designs and identify which is the best performing. The use of analytics and testing is a vital part of any web strategy and takes the guess work out of identifying design that will work for you.
The document discusses Google Analytics and Google Website Optimizer tools for analyzing website traffic and optimizing website content. It provides an overview of using profiles and filters in Google Analytics to segment traffic data. It also covers setting up goals and funnels to track conversions. For Google Website Optimizer, it describes how to design A/B tests to compare variations of content and evaluate which performs better. The overall purpose is to help users plan, measure, and improve their websites through data-driven optimization.
The document discusses Google Analytics and Google Website Optimizer tools for analyzing website traffic and optimizing website content. It provides an overview of using profiles and filters in Google Analytics to segment traffic data. It also covers setting up goals and funnels to track conversions. For Google Website Optimizer, it describes how to design A/B tests to compare variations of content and evaluate which performs better. The overall purpose is to help users plan, measure, and improve their websites through data-driven optimization.
The document discusses using Google's API and services to optimize AdWords campaigns. It covers using the TargetingIdeaService to generate keyword ideas and get statistics on existing keywords. It also discusses using the TrafficEstimatorService to estimate traffic and costs for new campaigns. Finally, it discusses how to optimize existing campaigns by analyzing report data and replacing underperforming keywords.
The document discusses optimization of online advertising accounts at scale. It introduces several Google services for keyword research and traffic estimation. It then demonstrates Kratu, an open-source tool for discovering optimization opportunities in accounts by analyzing performance data. Kratu uses a push model to surface issues for account managers to address, rather than managers manually reviewing all accounts. The document includes a demo of Kratu analyzing a sample advertising account and ends by discussing upcoming improvements to Kratu.
This document discusses tools and services for optimizing Google Ads accounts, including Kratu for discovering optimization opportunities. It describes profiling accounts, using services like Targeting Idea and Traffic Estimator for keyword research and estimates, and optimizing through an iterative process. The document demonstrates Kratu for analyzing account data and displaying issues and opportunities, and provides resources for using Kratu with a backend like AwReporting.
The document discusses optimizing OAuth 2.0 requests when using the Google AdWords API. It recommends sharing access tokens across threads and servers to minimize requests. Handling access token expiration is key, including proactively refreshing tokens before expiration. A shared storage like a cache can store credentials to avoid duplicate requests. A token management server can further centralize OAuth handling. Security best practices like securely storing refresh and access tokens are also covered.
The document summarizes the new features, changes, and deprecations in version 201402 of the Google AdWords API. Key updates include support for shopping campaigns and new ad extensions in the API, new report types, and a new bidding strategy. ClientLogin authentication has been deprecated and replaced with OAuth2.0. Several campaign features have also moved out of beta testing.
This document discusses various options for targeting online advertising campaigns through Google, including targeting by location, location demographics, mobile criteria, and dynamic search ads. It provides examples of how to target specific locations, location groups combining places of interest and income levels, mobile devices and apps, and automatically generate ads based on website content. Resources for each targeting method are also listed.
Este documento presenta una introducción a OAuth 2.0 y cómo obtener tokens de acceso para acceder a los servicios de AdWords API. Explica los pasos para crear una ID de cliente y secreto de cliente, obtener un token de acceso mediante la aprobación del propietario de la cuenta, y luego acceder a los servicios de AdWords API con ese token. También describe los diferentes flujos de OAuth 2.0 y los recursos disponibles para obtener más información.
End to-end how to build a platform (Spanish)marcwan
El documento describe un enfoque paso a paso para que las empresas asociadas desarrollen una plataforma para administrar campañas de AdWords de clientes utilizando la API de AdWords. Se proponen tres fases tecnológicas principales: generación de informes, creación y administración de cuentas, y optimización automatizada. Cada fase agrega más funcionalidad y permite administrar más cuentas por gerente de cuenta a medida que la plataforma se vuelve más sofisticada.
El documento resume las últimas actualizaciones de la API de AdWords, incluyendo nuevas funcionalidades como la importación de conversiones fuera de línea, cambios en los nombres obligatorios de campañas y grupos de anuncios, y cinco funcionalidades que ya no están en beta como los modificadores de ofertas de criterios de visualización y anuncios de búsqueda dinámica. También proporciona ejemplos de código para utilizar estas nuevas características a través de la API.
El documento proporciona una introducción a AdWords Scripts, que permite automatizar AdWords mediante el uso de JavaScript. Explica cómo acceder a la información de la cuenta de AdWords, los principales casos de uso, requisitos y capacidades de los scripts como acceder a entidades, informes y actualizaciones. También cubre la demostración de cómo crear el primer script para obtener campañas y obtener ayuda a través de la documentación y foros.
El documento presenta una capacitación sobre cómo mejorar las páginas móviles y las conversiones a través de la API de AdWords. Cubre temas como la creación de anuncios y ajuste de precios para dispositivos móviles, los 8 fundamentos esenciales de una página móvil efectiva, y herramientas útiles como HTML5 Rocks, depuración remota y emulación móvil.
O documento discute boas práticas e rate limits na AdWords API. Ele explica que executar operações em batch e agrupar operações por entidade melhora o desempenho. Também descreve o que são rate limits e como tratá-los, incluindo usar filas de mensagens para distribuir carga e controlar a velocidade de requisições.
O documento discute o protocolo OAuth 2.0 para autenticação na API do AdWords. Ele explica que o OAuth 2.0 fornece autorização segura e padronizada para a API sem usar nomes de usuário e senhas. O documento também discute como preparar uma aplicação, obter tokens de acesso, fluxos OAuth 2.0, melhores práticas e recursos.
The document discusses optimizing landing pages for mobile devices. It covers displaying mobile ads in the AdWords API, 8 tips for mobile landing pages including prioritizing speed and visible content, and mobile development tools like HTML5 Rocks. The tips are to deliver faster content, ensure good performance, provide full content on all devices, adapt designs for different screens, focus on the user experience, include accessibility, code for robustness, and prioritize above-the-fold content.
1) O documento discute as etapas para construir uma plataforma de vendas usando a API do AdWords de forma incremental e passo-a-passo; 2) A primeira fase envolve relatórios e automação básica para aumentar o número de contas gerenciadas; 3) A segunda fase automatiza tarefas como criação de contas através de uma taxonomia e ferramenta de vendas.
O documento apresenta uma ferramenta chamada AW Reports to DB, que permite fazer download automático de relatórios do AdWords API e armazená-los em bancos de dados. A ferramenta usa a API para fazer downloads noturnos de dados, persiste localmente em bancos de dados como MySQL e MongoDB, e expõe os dados em objetos Java para que desenvolvedores possam acessá-los e criar aplicações.
O documento resume as principais atualizações da API do AdWords, incluindo novas funcionalidades como importação de conversões offline, relatórios aprimorados e mudanças no compartilhamento de orçamento. Além disso, cinco funcionalidades saíram do beta test, como modificadores de lances por critérios de exibição e anúncios de pesquisa dinâmica.
O documento apresenta os AdWords Scripts, ferramenta que permite automatizar tarefas na conta AdWords por meio de códigos JavaScript. É possível acessar dados e objetos da conta e executar ações como criar relatórios, disparar alertas e integrar com feeds externos. O documento também demonstra como criar e executar scripts na IDE do AdWords.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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3. Agenda
● Quick Feed Concepts Review
● What's New
● Location Feeds Deep Dive
● Reporting
● Best Practices
4. Google Inc. - All Rights Reserved
Feed Concepts
A Quick Review
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Feed● Account-level table
● Collection of mutable rows
● Data provider for ad extensions
What is a Feed?
Attr1 Attr2 Attr3
Item1 Val1 Val2 Val3
Item2 Val4 Val5 Val6
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All of the Pieces
Data Extension Type Ad Extensions
CustomerFeed
feedId
placeholderTypes
matchingFunction
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Creating New Feeds
To do this... …call this... ...with these!
Create FeedService Feed
FeedAttribute
Populate FeedItemService FeedItem
FeedItemAttribute
Map Attributes FeedMappingService FeedMapping
Map Items CustomerFeedService
CampaignFeedService
AdGroupFeedService
CustomerFeed
CampaignFeed
AdGroupFeed
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● Feed name uniqueness
● Call extensions
○ Say goodbye to CONVERSION DURATION THRESHOLD
○ Say hello to AdCallMetricsConversion
● CustomerFeedService
● Three new types of feeds:
○ App
○ Review
○ Location
The Latest Happenings in the World of
Feeds
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● Attempting to add a new Feed with the
same name as an existing ACTIVE feed will
fail with a FeedError
● Existing duplicate Feeds will be renamed
automatically
● AdWords won't touch duplicates fixed
before this change
● Make sure your application can handle the
name changes
See our recent blog post for details.
Feed Name Uniqueness
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CONVERSION
DURATION
THRESHOLD
Call Extension Changes
AdCallMetrics
Conversion
As announced in a recent blog post:
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● Create an AdCallMetricsConversion with the proper
phoneCallDuration value (in seconds)
● Add a new FeedAttribute for CONVERSION TYPE ID
● Populate the new attribute on your call extension
FeedItems with the ID of the AdCallMetricsConversion
● Replace the existing FeedMapping with one with:
● an AttributeFieldMapping for CONVERSION TYPE ID added
● the AttributeFieldMapping for CALL DURATION THRESHOLD
removed
Using an AdCallMetricsConversion
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● AdWords API v201402 includes a new
CustomerFeedService, as well as a new
CustomerFeed type
● CustomerFeeds are the same as CampaignFeeds and
AdGroupFeeds -- they're just defined at the AdWords
account level
● Can be used with App, Location and Review Extensions
New Service: CustomerFeedService
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A CustomerFeed is:
● Required for Location feeds (more on that in a minute)
● Optional for App and Review feeds
A CustomerFeed simply adds a new level where you
can define the mapping from feed items to extension
types.
● The most specific mapping (rightmost) "wins":
CustomerFeed -> CampaignFeed -> AdGroupFeed
New Type: CustomerFeed
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Customer/Campaign/AdGroupFeeds
CustomerFeed
Campaign A
CampaignFeed
Campaign B
AdGroup A1
AdGroupFeed
AdGroup B1 AdGroup B2
Customer/Account
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● Displays a link in your ad that points to your mobile app.
● Only applicable for Mobile & Tablet devices
App Extensions
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App Extension Fields
ID Field Data Type Notes
1 STORE INT64 1 for iTunes
2 for Google Play
2 ID STRING Store-specific ID
3 LINK TEXT STRING Text for the destination URL
4 URL URL Destination URL
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● Show accolades from reputable third parties in your ad.
● Review text is one of:
Exact Paraphrased
Review Extensions
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Review Extension Fields
ID Field Data Type Notes
1 TEXT STRING Exact quote or paraphrase from a
third-party source
2 SOURCE NAME STRING Name of the third-party publisher
3 SOURCE URL URL Landing page of the third-party
website of the review
4 TEXT EXACTLY
QUOTED
BOOLEAN true for exact quote
false for paraphrased
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Location Feeds Deep Dive
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● Show locations from your Google Places for Business
account
● Set it and forget it - AdWords keeps itself in sync with
Places automatically
● Only supports Places locations - no manually entered
addresses
Location Extensions
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1. The Feed needs its systemFeedGenerationData set
to a PlacesLocationFeedData object
2. Set the Feed's origin to ADWORDS.
3. AdWords handles many aspects for you
● Creates the FeedAttributes for the feed (do not specify these
in your mutate ADD operation)
● Creates a FeedMapping
● Creates and maintains the FeedItems
4. You must create a CustomerFeed
Key Differences vs. Other Extension Types
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The PlacesLocationFeedData object associates your
AdWords feed with a Google Places for Business account.
You'll need the following:
● Email address of the owner of the Google Places for
Business account (this identifies the account)
● An OAuth2 access token for the Places scope
● You can use the OAuth2 Playground to generate the access
token
Creating the Feed
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Creating the PlacesLocationFeedData
Field Sample
emailAddress placesowner@gmail.com
businessNameFilter* "Ads Developers Restaurant and Bar"
categoryFilters* { "Restaurant or Cafe", "Food and Drink" }
oAuthInfo
Field Sample
httpMethod GET
httpRequestUrl https://www.google.com/local/add
httpAuthorizationHeader Bearer ya29.1.A12xY_ABCdefGHIjkl-MNOpqrSTUVW...
* Optional field
25. HTML
Google Inc. - All Rights Reserved
CustomerFeed - Using IDENTITY
<matchingFunction>
<operator>IDENTITY</operator>
<lhsOperand>
<FunctionArgumentOperand.Type>ConstantOperand
</FunctionArgumentOperand.Type>
<type>BOOLEAN</type>
<booleanValue>true</booleanValue>
</lhsOperand>
</matchingFunction>
<status>ACTIVE</status>
See the AddPlacesLocationExtensions example
Use the IDENTITY operator to define a matching function
that always evaluates to TRUE and has no rhsOperand
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As with other feed-based extensions, you have the option
of creating CampaignFeeds or AdGroupFeeds to further
refine the location selection at the Campaign or AdGroup
level. Keep in mind:
● CustomerFeed is required -- this is unique to location
extensions
● Since FeedItems are automatically created and
managed by AdWords, your matchingFunction
should use the BUSINESS NAME and CATEGORIES
placeholder fields, not FeedItem IDs
Refine Selection for Campaigns or AdGroups
27. HTML
Google Inc. - All Rights Reserved
Selecting Feed Items
<matchingFunction>
<operator>EQUALS</operator>
<lhsOperand>
<FunctionArgumentOperand.Type>FeedAttributeOperand
</FunctionArgumentOperand.Type>
<feedId>12345678</feedId>
<feedAttributeId>1</feedAttributeId>
</lhsOperand>
<rhsOperand>
<FunctionArgumentOperand.Type>ConstantOperand
</FunctionArgumentOperand.Type>
<type>STRING</type>
<stringValue>Ads Developers Music Shop</stringValue>
</rhsOperand>
</matchingFunction>
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Feed-based Reporting
Non-upgraded location extensions Ad Extensions Performance Report
Everything else:
● Sitelink
● App
● Call
● Locations (Google Places)
● Review
Placeholder Feed Items Report
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● FeedItem-level statistics
● Use IsSelfAction = 'This
extension' to limit to clicks for each
FeedItem
● If not filtering by IsSelfAction, then
clicks and impressions may be
counted more than once
Placeholder Feed Item Report
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● Each ad extension type has a default pre-built Feed
○ Main sitelink feed
○ Main app feed
○ Main phone number feed
○ Main location feed
○ Main review feed
● Feed.origin ⇒ ADWORDS
● FeedAttributes (schema) are immutable
Using Built-in ADWORDS Feeds
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● Displayed in a dropdown alongside built-in Feeds
● Can only be created via the API
● Feed.origin ⇒ USER
● FeedAttributes (schema) are appendable
Using User Defined Feeds
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Google Inc. - All Rights Reserved
Disabling Feeds for a Campaign or AdGroup
<feedId>12345678</feedId> <!-- ID of the 'Main sitelink feed' -->
<matchingFunction>
<operator>IDENTITY</operator>
<lhsOperand>
<FunctionArgumentOperand.
Type>ConstantOperand</FunctionArgumentOperand.Type>
<type>BOOLEAN</type>
<booleanValue>false</booleanValue>
</lhsOperand>
</matchingFunction>
<status>ACTIVE</status>
Use the IDENTITY operator to define a matching function
that always evaluates to FALSE and has no rhsOperand
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● Regardless of placeholder type, you can only have ONE:
○ CustomerFeed per Customer + Feed
○ CampaignFeed per Campaign + Feed
○ AdGroupFeed per AdGroup + Feed
● Don't send existing FeedAttributes in SET FeedOperations
● No validation on FeedItemIds in matchingFunctions
● Maximum of 20 ACTIVE Feeds per account
○ Including built-in ADWORDS feeds
Feed Trivia Part One
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● CustomerFeed is not used for sitelink or call extensions
● CustomerFeed is required for location extensions but is
optional for app and review extensions
● Delete feeds in the following order:
○ CustomerFeed / CampaignFeed / AdGroupFeed
○ FeedMapping
○ FeedItems
○ Feed
● Disable an extension type at the Campaign or AdGroup
level with a matching function that always returns false
Feed Trivia Part Two
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Resources
Guide & Reference
https://developers.google.com/adwords/api/docs/guides/feed-services
https://developers.google.com/adwords/api/docs/guides/feed-services-locations
https://developers.google.com/adwords/api/docs/appendix/placeholders
https://developers.google.com/adwords/api/docs/appendix/feed-errors