This document discusses various ways to work with files in JavaScript, including:
- Using the File and FileList APIs to access files selected by the user or dragged/dropped into the browser.
- Parsing common file formats like XLS, XLSX, PDF and others using libraries like SheetJS and PDF.js.
- Getting files from the server and saving files locally using techniques like iframes, execCommand, localStorage, and the File System API.
The document provides code examples for reading, parsing, compressing, and saving different file types in the browser using JavaScript.
The document describes the steps to connect to an Excel spreadsheet using JDBC and ODBC in Java:
1. Create an Excel spreadsheet with data and save it. Configure an ODBC data source to connect to the Excel file.
2. Write a Java program that uses JDBC to connect to the Excel data source, execute a query to retrieve data from the spreadsheet, and print the results.
3. The prepareConnection method loads the JDBC-ODBC driver, specifies the ODBC data source URL, and establishes the database connection.
4. The main method uses the connection to execute a query on the Excel spreadsheet and print the results.
1. The document describes how to build an image gallery using an Android GridView. It involves adding a GridView to the layout, defining the grid item layout with an ImageView and TextView, creating a GridView adapter, setting the adapter, and handling clicks to open a detail activity.
2. Key aspects are using a GridView with attributes like numColumns, stretchMode, and verticalSpacing, and an adapter to populate each grid item from data. Clicking a grid item navigates to a details page.
3. The example builds the UI, handles clicks, and customizes the GridView style to display images and text in a grid.
O documento discute o arquivo /proc/meminfo no Linux, que armazena estatísticas sobre o uso de memória. Também apresenta um script shell que calcula a nota média de um aluno e imprime o conceito correspondente, e discute partições fixas, estruturas de controle no shell script, pipelines e listagem de subdiretórios. Por fim, mostra uma função shell para recomendar tamanhos mínimos e máximos de swap de acordo com a quantidade de RAM do sistema.
O documento discute vários tópicos relacionados à inteligência artificial, incluindo grafos e digrafos, problemas de busca, algoritmos de busca como breadth-first search e depth-first search, algoritmo A*, metaheurísticas como simulated annealing e algoritmos genéticos.
O documento discute problemas determinísticos versus não determinísticos e a complexidade de algoritmos. Também explica os conjuntos P, NP e NP-completo e fornece exemplos como a localização de rotas e o problema do caixeiro viajante.
O documento discute os conceitos de dados, informações e conhecimento e apresenta os processos de gestão de eventos e gestão de incidentes em sistemas de informações gerenciais. A gestão de eventos monitora itens de configuração e ferramentas para detectar ocorrências e escalar exceções, enquanto a gestão de incidentes lida com interrupções de serviço de forma reativa para restaurar o nível de serviço o mais rápido possível.
O documento discute testes não funcionais para aplicações, incluindo debug, configuração de elementos, carregamento de dados CSV, cache, padronização de requisições HTTP, exemplos de head manager, expressões regulares, componentes de requisição HTTP e LDAP, bean shell sampler, variáveis, requisições JUnit, controles, asserções, tempos, thread groups e devops.
This document discusses various ways to work with files in JavaScript, including:
- Using the File and FileList APIs to access files selected by the user or dragged/dropped into the browser.
- Parsing common file formats like XLS, XLSX, PDF and others using libraries like SheetJS and PDF.js.
- Getting files from the server and saving files locally using techniques like iframes, execCommand, localStorage, and the File System API.
The document provides code examples for reading, parsing, compressing, and saving different file types in the browser using JavaScript.
The document describes the steps to connect to an Excel spreadsheet using JDBC and ODBC in Java:
1. Create an Excel spreadsheet with data and save it. Configure an ODBC data source to connect to the Excel file.
2. Write a Java program that uses JDBC to connect to the Excel data source, execute a query to retrieve data from the spreadsheet, and print the results.
3. The prepareConnection method loads the JDBC-ODBC driver, specifies the ODBC data source URL, and establishes the database connection.
4. The main method uses the connection to execute a query on the Excel spreadsheet and print the results.
1. The document describes how to build an image gallery using an Android GridView. It involves adding a GridView to the layout, defining the grid item layout with an ImageView and TextView, creating a GridView adapter, setting the adapter, and handling clicks to open a detail activity.
2. Key aspects are using a GridView with attributes like numColumns, stretchMode, and verticalSpacing, and an adapter to populate each grid item from data. Clicking a grid item navigates to a details page.
3. The example builds the UI, handles clicks, and customizes the GridView style to display images and text in a grid.
O documento discute o arquivo /proc/meminfo no Linux, que armazena estatísticas sobre o uso de memória. Também apresenta um script shell que calcula a nota média de um aluno e imprime o conceito correspondente, e discute partições fixas, estruturas de controle no shell script, pipelines e listagem de subdiretórios. Por fim, mostra uma função shell para recomendar tamanhos mínimos e máximos de swap de acordo com a quantidade de RAM do sistema.
O documento discute vários tópicos relacionados à inteligência artificial, incluindo grafos e digrafos, problemas de busca, algoritmos de busca como breadth-first search e depth-first search, algoritmo A*, metaheurísticas como simulated annealing e algoritmos genéticos.
O documento discute problemas determinísticos versus não determinísticos e a complexidade de algoritmos. Também explica os conjuntos P, NP e NP-completo e fornece exemplos como a localização de rotas e o problema do caixeiro viajante.
O documento discute os conceitos de dados, informações e conhecimento e apresenta os processos de gestão de eventos e gestão de incidentes em sistemas de informações gerenciais. A gestão de eventos monitora itens de configuração e ferramentas para detectar ocorrências e escalar exceções, enquanto a gestão de incidentes lida com interrupções de serviço de forma reativa para restaurar o nível de serviço o mais rápido possível.
O documento discute testes não funcionais para aplicações, incluindo debug, configuração de elementos, carregamento de dados CSV, cache, padronização de requisições HTTP, exemplos de head manager, expressões regulares, componentes de requisição HTTP e LDAP, bean shell sampler, variáveis, requisições JUnit, controles, asserções, tempos, thread groups e devops.
1) O documento discute Business Intelligence, que permite o cruzamento de informações e análise de desempenho de um negócio para apoiar a tomada de decisão.
2) Business Intelligence usa estruturas multidimensionais com medidas, dimensões e hierarquias para fornecer visões analíticas aos gerentes.
3) OLAP é uma técnica multidimensional que permite respostas rápidas a consultas complexas através de agregações pré-construídas.
This document outlines exploiting browsers by hosting a malicious JavaScript file on a local web server. It first generates an HTML file that loads the malicious script from the local IP address and port 3000. It then pulls a BEEF Docker image and runs it, exposing its web interface on port 3000 to serve the hooked JavaScript file.
Sistemas de informações gerenciais são usados para tomar decisões de negócios. Eles podem filtrar e analisar dados por meio de técnicas como slicing e pivot tables.
O documento discute testes de segurança em sistemas vulneráveis, descrevendo o framework Metasploit e seus principais componentes, como o núcleo REX, módulos de exploits e payloads, e interfaces. Também fornece exemplos de comandos do Metasploit para explorar vulnerabilidades em serviços como FTP, IRC e Apache.
O documento descreve o servidor Apache, criado em 1995 por Rob McCool para ser um servidor web livre e popular, principalmente no Linux. Ele também discute a diferença entre servidores web e servidores de aplicação, e fornece exemplos de comandos docker para executar o servidor de aplicação JBoss WildFly.
O documento discute três divisões principais da inteligência artificial: inteligência artificial simbólica, inteligência artificial conexionista e inteligência artificial evolutiva. Também apresenta exemplos de algoritmos de suporte de vetores e como eles tentam separar conjuntos de dados de maneira ótima, mesmo quando os dados são complexos.
Os sistemas de informação gerencial são ferramentas que auxiliam os gestores no processo de tomada de decisão. Eles permitem a coleta, armazenamento e análise de dados para geração de relatórios que apoiam a gestão das organizações. O livro aborda os principais conceitos e aplicações desses sistemas para apoiar a administração de empresas.
Processo de automação de artefatos de requisito slidesThiago Carvalho
O documento discute como a abordagem BDD, estórias de usuário, FitNesse, regras de negócio no Drools Guvnor e automação podem melhorar a comunicação, documentação e processo de desenvolvimento de software.
Este documento apresenta uma introdução aos padrões de projeto, definindo-os como soluções comuns aplicadas a problemas recorrentes no contexto do projeto de software. Ele explica a origem dos padrões de projeto no trabalho de Christopher Alexander e descreve os principais componentes de um padrão de projeto segundo a linguagem de padrões.
The document discusses different scheduling algorithms used by operating systems to manage processes. It covers the process model and introduces scheduling algorithms like First-Come, First-Served which processes the oldest job first, Shortest Job First which prioritizes the shortest process, and Round-Robin Scheduling which allows equal processor time to each process in a cyclic way. The document also mentions AWK programming language.
Este documento discute vários tópicos relacionados à administração de sistemas operacionais, incluindo gerência de memória, comandos grep e chmod, gerenciamento de pacotes e servidores web Apache.
This document discusses simulated annealing and genetic algorithms for solving optimization problems. It includes code for implementing simulated annealing with a traveling salesman problem. It also includes code for implementing a genetic algorithm with classes for individuals, populations, crossover, mutation, selection and fitness evaluation. The genetic algorithm code finds a solution to a problem by evolving a population of individuals over generations.
O documento discute:
1) Os objetivos de entender o conceito de sistemas operacionais e a estrutura básica do Linux;
2) As funções do sistema operacional como gerenciador de recursos e máquina estendida;
3) A história dos sistemas operacionais desde as décadas de 1940-1980.
O documento introduz o conceito de inteligência artificial, discutindo sua definição, o teste de Turing, e exemplos de aplicações como reconhecimento de padrões, veículos autônomos e tradução automática. O documento também discute brevemente abordagens como redes neurais e algoritmos evolucionários.
O documento apresenta uma palestra sobre ciência de dados, definindo o termo, discutindo os principais tipos de modelos como classificação, regressão e agrupamento, e fornecendo exemplos de aplicações como análise de sentimento e previsão de preços de imóveis.
O documento apresenta uma palestra sobre ciência de dados, definindo o termo, discutindo tipos de modelos como regressão, classificação e agrupamento, e fornecendo exemplos de aplicação em áreas como biologia.
O documento discute testes de desempenho de software, definindo testes de carga, desempenho e estresse. Também aborda modelagem de carga de trabalho, métricas estatísticas e a ferramenta JMeter para teste de desempenho.
O documento descreve as etapas para realizar um diagrama de Pareto, incluindo determinar o problema, categorias, coleta de dados, tabulação, ordenação dos itens por quantidade decrescente e construção do diagrama com barras e curva acumulada para identificar os principais itens a serem abordados.
O documento discute testes de segurança como pentest, que envolvem encontrar falhas em sistemas através de técnicas como varredura de portas, enumeração de serviços e exploração de vulnerabilidades em aplicações e serviços. Ele também fornece exemplos de comandos para realizar tarefas como varredura de portas e enumeração de serviços SNMP e DNS.
O documento descreve a matriz de confusão, uma medida efetiva para avaliar o desempenho de um modelo de classificação. A matriz mostra o número de classificações corretas versus preditas para cada classe em um conjunto de exemplos, com os acertos na diagonal principal e erros nos demais elementos. Um classificador ideal teria todos os elementos iguais a zero, indicando nenhum erro.
Developing your first application using FI-WAREFermin Galan
This document provides instructions for developing a first application using FI-WARE by connecting sensors to the FI-WARE IoT backend. It discusses connecting a basic Z-Wave sensor pack to the backend using FIGWAY software on a Raspberry Pi. The steps include including sensors in a Z-Wave network, editing registration and observation scripts to specify sensor IDs and callback URLs, registering sensors using fizway_register, and running fizway to interconnect sensors to the backend. Configuration files and ports for different sensor types like switches are also outlined. The goal is to enable sharing sensor data in FI-WARE's IoT Challenge HUB spreadsheet by connecting low-cost hardware to FI-WARE open APIs.
Cross-Platform Native Mobile Development with EclipsePeter Friese
Developing great apps for mobile platforms like Android, iOS or mobile web is a challenging task. Not only do you have to take into consideration the limited resources your app has at it's disposal, you also have to follow the established UI idioms - which may differ on the respective platforms.
In this session, I will demonstrate how you can build mobile apps with tools from the Eclipse ecosystem. Based on real-world examples I will present a domain-specific language we used to mobilize enterprise systems or to create the official Eclipse Summit Europe conference app (http://bit.ly/ese_app_de). What's more, I will show you how to overcome the tedium of having to manually port your application from one platform to other platform technologies such as Objective-C or Django/Python. Finally, I will show how to integrate Eclipse tooling with external tools such as Apple's Xcode and Google App Engine.
See http://lanyrd.com/2011/eclipsecon-europe/shhmy/
1) O documento discute Business Intelligence, que permite o cruzamento de informações e análise de desempenho de um negócio para apoiar a tomada de decisão.
2) Business Intelligence usa estruturas multidimensionais com medidas, dimensões e hierarquias para fornecer visões analíticas aos gerentes.
3) OLAP é uma técnica multidimensional que permite respostas rápidas a consultas complexas através de agregações pré-construídas.
This document outlines exploiting browsers by hosting a malicious JavaScript file on a local web server. It first generates an HTML file that loads the malicious script from the local IP address and port 3000. It then pulls a BEEF Docker image and runs it, exposing its web interface on port 3000 to serve the hooked JavaScript file.
Sistemas de informações gerenciais são usados para tomar decisões de negócios. Eles podem filtrar e analisar dados por meio de técnicas como slicing e pivot tables.
O documento discute testes de segurança em sistemas vulneráveis, descrevendo o framework Metasploit e seus principais componentes, como o núcleo REX, módulos de exploits e payloads, e interfaces. Também fornece exemplos de comandos do Metasploit para explorar vulnerabilidades em serviços como FTP, IRC e Apache.
O documento descreve o servidor Apache, criado em 1995 por Rob McCool para ser um servidor web livre e popular, principalmente no Linux. Ele também discute a diferença entre servidores web e servidores de aplicação, e fornece exemplos de comandos docker para executar o servidor de aplicação JBoss WildFly.
O documento discute três divisões principais da inteligência artificial: inteligência artificial simbólica, inteligência artificial conexionista e inteligência artificial evolutiva. Também apresenta exemplos de algoritmos de suporte de vetores e como eles tentam separar conjuntos de dados de maneira ótima, mesmo quando os dados são complexos.
Os sistemas de informação gerencial são ferramentas que auxiliam os gestores no processo de tomada de decisão. Eles permitem a coleta, armazenamento e análise de dados para geração de relatórios que apoiam a gestão das organizações. O livro aborda os principais conceitos e aplicações desses sistemas para apoiar a administração de empresas.
Processo de automação de artefatos de requisito slidesThiago Carvalho
O documento discute como a abordagem BDD, estórias de usuário, FitNesse, regras de negócio no Drools Guvnor e automação podem melhorar a comunicação, documentação e processo de desenvolvimento de software.
Este documento apresenta uma introdução aos padrões de projeto, definindo-os como soluções comuns aplicadas a problemas recorrentes no contexto do projeto de software. Ele explica a origem dos padrões de projeto no trabalho de Christopher Alexander e descreve os principais componentes de um padrão de projeto segundo a linguagem de padrões.
The document discusses different scheduling algorithms used by operating systems to manage processes. It covers the process model and introduces scheduling algorithms like First-Come, First-Served which processes the oldest job first, Shortest Job First which prioritizes the shortest process, and Round-Robin Scheduling which allows equal processor time to each process in a cyclic way. The document also mentions AWK programming language.
Este documento discute vários tópicos relacionados à administração de sistemas operacionais, incluindo gerência de memória, comandos grep e chmod, gerenciamento de pacotes e servidores web Apache.
This document discusses simulated annealing and genetic algorithms for solving optimization problems. It includes code for implementing simulated annealing with a traveling salesman problem. It also includes code for implementing a genetic algorithm with classes for individuals, populations, crossover, mutation, selection and fitness evaluation. The genetic algorithm code finds a solution to a problem by evolving a population of individuals over generations.
O documento discute:
1) Os objetivos de entender o conceito de sistemas operacionais e a estrutura básica do Linux;
2) As funções do sistema operacional como gerenciador de recursos e máquina estendida;
3) A história dos sistemas operacionais desde as décadas de 1940-1980.
O documento introduz o conceito de inteligência artificial, discutindo sua definição, o teste de Turing, e exemplos de aplicações como reconhecimento de padrões, veículos autônomos e tradução automática. O documento também discute brevemente abordagens como redes neurais e algoritmos evolucionários.
O documento apresenta uma palestra sobre ciência de dados, definindo o termo, discutindo os principais tipos de modelos como classificação, regressão e agrupamento, e fornecendo exemplos de aplicações como análise de sentimento e previsão de preços de imóveis.
O documento apresenta uma palestra sobre ciência de dados, definindo o termo, discutindo tipos de modelos como regressão, classificação e agrupamento, e fornecendo exemplos de aplicação em áreas como biologia.
O documento discute testes de desempenho de software, definindo testes de carga, desempenho e estresse. Também aborda modelagem de carga de trabalho, métricas estatísticas e a ferramenta JMeter para teste de desempenho.
O documento descreve as etapas para realizar um diagrama de Pareto, incluindo determinar o problema, categorias, coleta de dados, tabulação, ordenação dos itens por quantidade decrescente e construção do diagrama com barras e curva acumulada para identificar os principais itens a serem abordados.
O documento discute testes de segurança como pentest, que envolvem encontrar falhas em sistemas através de técnicas como varredura de portas, enumeração de serviços e exploração de vulnerabilidades em aplicações e serviços. Ele também fornece exemplos de comandos para realizar tarefas como varredura de portas e enumeração de serviços SNMP e DNS.
O documento descreve a matriz de confusão, uma medida efetiva para avaliar o desempenho de um modelo de classificação. A matriz mostra o número de classificações corretas versus preditas para cada classe em um conjunto de exemplos, com os acertos na diagonal principal e erros nos demais elementos. Um classificador ideal teria todos os elementos iguais a zero, indicando nenhum erro.
Developing your first application using FI-WAREFermin Galan
This document provides instructions for developing a first application using FI-WARE by connecting sensors to the FI-WARE IoT backend. It discusses connecting a basic Z-Wave sensor pack to the backend using FIGWAY software on a Raspberry Pi. The steps include including sensors in a Z-Wave network, editing registration and observation scripts to specify sensor IDs and callback URLs, registering sensors using fizway_register, and running fizway to interconnect sensors to the backend. Configuration files and ports for different sensor types like switches are also outlined. The goal is to enable sharing sensor data in FI-WARE's IoT Challenge HUB spreadsheet by connecting low-cost hardware to FI-WARE open APIs.
Cross-Platform Native Mobile Development with EclipsePeter Friese
Developing great apps for mobile platforms like Android, iOS or mobile web is a challenging task. Not only do you have to take into consideration the limited resources your app has at it's disposal, you also have to follow the established UI idioms - which may differ on the respective platforms.
In this session, I will demonstrate how you can build mobile apps with tools from the Eclipse ecosystem. Based on real-world examples I will present a domain-specific language we used to mobilize enterprise systems or to create the official Eclipse Summit Europe conference app (http://bit.ly/ese_app_de). What's more, I will show you how to overcome the tedium of having to manually port your application from one platform to other platform technologies such as Objective-C or Django/Python. Finally, I will show how to integrate Eclipse tooling with external tools such as Apple's Xcode and Google App Engine.
See http://lanyrd.com/2011/eclipsecon-europe/shhmy/
Building Modern Apps using Android Architecture ComponentsHassan Abid
Android architecture components are part of Android Jetpack. They are a collection of libraries that help you design robust, testable, and maintainable apps. In this talk, We will cover LiveData, ViewModel, Room and lifecycle components. We will go through practical code example to understand modern android app architecture especially MVVM architecture.
Alfresco’s highly customizable repository can often seem overwhelming. Learn approaches for adding common customizations requests (Extending Javascript API, Content Modeling, Permission Modeling, packaging, etc.) from current and former Alfresco consulting staff. Learn where we often see the most common errors and participate in open Q&A.
Kicking off with Zend Expressive and Doctrine ORM (PHP UK 2017)James Titcumb
You've heard of Zend's new framework, Expressive, and you've heard it's the new hotness. In this talk, I will introduce the concepts of Expressive, how to bootstrap a simple application with the framework using best practices, and finally how to integrate a third party tool like Doctrine ORM.
Tornado is a Python web framework and asynchronous networking library. It is a scalable, non-blocking web server that allows applications to handle multiple requests simultaneously using a single thread. Some key features include lightweight and fast templates, asynchronous request handlers, and integrations with databases, caches and other services. Tornado is best suited for building real-time web services and can be used alongside other front-end web servers.
OWASP SF - Reviewing Modern JavaScript ApplicationsLewis Ardern
The document provides an overview of reviewing modern JavaScript applications for security. It discusses how JavaScript is used widely, common frameworks like React and Angular, and tools for analyzing JavaScript like ESLint. It also covers real-world examples of vulnerabilities like cross-site scripting and remote code execution. The talk emphasizes embracing developer tools and best practices like code reviews and linting to identify security issues in JavaScript applications.
Ambari Views provide a common user experience framework for Hadoop ecosystem components. Views can be contributed as plugins to embed interfaces in Ambari for operators, data workers, and others. The goals of Views are to provide a single point of entry through a common URL, a pluggable UI framework where Views can be shared, and centralized authorization. Example Views include queue managers, resource utilization dashboards, and query editors.
Developing your first application using FIWAREFIWARE
This document provides instructions for developing a first application using the FI-WARE platform. It discusses the FI-WARE architecture, including key components like the context broker and Wirecloud. It then describes how to create widgets using Wirecloud, connecting them to context broker and other FI-WARE services. The document also explains how to include IoT devices in a Z-Wave network and register them with the FI-WARE IoT backend.
This document discusses cross-platform mobile development using Eclipse. It covers building mobile apps that can run on countless devices across different platforms like Java, C#, and Objective-C. It provides code samples for building a speakers list mobile app using these languages. It also provides an overview of key aspects of building mobile apps like views, cells, navigation, entities, and content providers.
Boost Development With Java EE7 On EAP7 (Demitris Andreadis)Red Hat Developers
JBoss EAP7 brings support for the most recent industry standards and technologies, including Java EE7, the latest edition of the premier enterprise development standard. This session will provide an overview of the major additions to Java EE7, and how your team can use these capabilities on the advanced EAP7 runtime to produce better applications with less code.
Kicking off with Zend Expressive and Doctrine ORM (Sunshine PHP 2017)James Titcumb
You've heard of Zend's new framework, Expressive, and you've heard it's the new hotness. In this talk, I will introduce the concepts of Expressive, how to bootstrap a simple application with the framework using best practices, and finally how to integrate a third party tool like Doctrine ORM.
This document provides an overview of Hibernate Envers, a Hibernate module that enables easy auditing of persistent classes. It discusses how to activate Envers for an entity class, the different annotations used to configure the audit process, and how to query the audit information stored in revision tables. Envers allows tracking changes to entities and retrieving past versions through an AuditReader interface, with support for filtering, ordering and paging results. It provides an out-of-the-box solution for auditing entity data with Hibernate.
1. RESThub is an open source framework for building Java web applications that promotes reuse, extensibility, and modularity.
2. It provides stacks for the middle tier (services and DAOs), web services, and client-side JavaScript. These stacks include generic and reusable components.
3. The framework encourages progressive complexity, allowing developers to start simply and add complexity over time by extending its abstract and customizable components. This allows a focus on business needs.
ITT 2015 - Simon Stewart - Building Android Apps at Speed and ScaleIstanbul Tech Talks
Every two weeks Facebook releases a new version of their flagship Android application which is one of the most widely used apps in the world. The codebase is worked on by a large engineering team. In this talk, Simon Stewart covers some of the technologies and approaches that Facebook use to allow their engineers to work with confidence and speed on the codebase, while at the same time ensuring solid and timely releases.
JSONpedia - Facilitating consumption of MediaWiki contentMichele Mostarda
JSONpedia is a Java library and a REST service meant to access content of MediaWiki pages as JSON. Mainly designed to produce Machine Learning corpuses, it allows to perform advanced queries over Wikipedia dumps using Elasticsearch indexing and faceting capabilities and MongoDB map/reduce support.
Copy of the slides from the Advanced Web Development Workshop presented by Ed Bachta, Charlie Moad and Robert Stein of the Indianapolis Museum of Art during the Museums and the Web 2008 conference in Montreal
Kicking off with Zend Expressive and Doctrine ORM (PHP Srbija 2017)James Titcumb
You've heard of Zend's new framework, Expressive, and you've heard it's the new hotness. In this talk, I will introduce the concepts of Expressive, how to bootstrap a simple application with the framework using best practices, and finally how to integrate a third party tool like Doctrine ORM.
MongoDB.local Sydney: Evolving your Data Access with MongoDB StitchMongoDB
You have valuable data in MongoDB and while it's important to use that data to empower your users and customers it can be tough to do so in a safe, secure way. In this session, you'll learn how to simply connect your users with the data they need using MongoDB Stitch. We'll cover how to quickly set-up complex access controls using Stitch's Read and Write Rules as well as how to expose that data through Stitch's SDKs, Functions, and Services.
Have you ever imagined how would be a world where you could use whatever language you want (or even all at once) and not have to worry about high memory consumption and slow startups? Get around... Let's talk about it!
Batch, Spring, Performance e outras coisas mais...Diogo Souza
Diogo Souza apresentou sobre como reduziu o tempo de execução de um batch de processamento de dados de 3 horas e meia para apenas 5 minutos utilizando Spring Batch e otimizações no código e banco de dados. Ele destacou a importância de simplificar o código, remover partes desnecessárias, escolher o momento certo para cada operação e ser amigo do banco de dados ao otimizar queries e utilizar cache.
O documento discute as vantagens de se usar Java para desenvolvimento web, incluindo sua flexibilidade, orientação a objetos, integração e comunidade. Também apresenta diversas tecnologias como JPA/Hibernate, JSF, EJB e JBoss para construção de aplicações web com Java. Por fim, fornece informações sobre um curso presencial de Java Web que aborda essas tecnologias.
Android: Por que usar? Como desenvolver?Diogo Souza
O documento discute por que usar o Android e como desenvolver aplicativos para a plataforma. Primeiro, apresenta cinco razões principais para usar o Android ao invés do iOS, incluindo melhor multitasking, integração com outros aplicativos, botão "voltar", variedade de aplicativos e navegação. Em seguida, descreve os três passos para desenvolver para Android: design, desenvolvimento e distribuição.
O documento apresenta uma empresa de tecnologia chamada 3adiX e seus objetivos de dominar o mundo por meio do desenvolvimento de tecnologia, inovação e ensino. A empresa acredita no potencial de Java e Android para o mercado de TI e quer treinar pessoas nessas áreas para ajudá-las a alcançar seu potencial.
Simples pelo simples google android com robo guiceDiogo Souza
O documento apresenta o framework RoboGuice para injeção de dependências em aplicativos Android. Discute como o RoboGuice permite escrever código Android de forma mais simples e desacoplada, evitando atividades grandes com muitas responsabilidades. Apresenta um exemplo de uso do RoboGuice para injetar dependências em uma atividade e reduzir seu acoplamento.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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!
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
7. What they say about…
“The Envers project aims to enable
easy auditing/versioning of persistent
classes […]”
Ref: http://www.jboss.org/envers
8. What they say about…
“[…] All that you have to do is
annotate your persistent class or
some of its properties, that you want
to audit, with @Audited. […]”
Ref: http://www.jboss.org/envers
9. What they say about…
“[…] For each audited entity, a table
will be created, which will hold the
history of changes made to the
entity. […]”
Ref: http://www.jboss.org/envers
10. And the best part…
“[…] You can then retrieve and query
historical data without much effort.”
Ref: http://www.jboss.org/envers
http://www.deviantart.com
11. Some features:
Auditing of all mappings defined by
the JPA specification
Auditing of some Hibernate
mappings, which extend JPA
Logging data for each revision using
a "revision entity"
Querying historical data
Ref: http://www.jboss.org/envers
http://www.deviantart.com
14. And how do we use in the past?
<property name="hibernate.ejb.event.post-insert"
value="org.hibernate.ejb.event.EJB3PostInsertEventListener,org.hibernat
e.envers.event.AuditEventListener" />
<property name="hibernate.ejb.event.post-update"
value="org.hibernate.ejb.event.EJB3PostUpdateEventListener,org.hiberna
te.envers.event.AuditEventListener" />
<property name="hibernate.ejb.event.post-delete"
value="org.hibernate.ejb.event.EJB3PostDeleteEventListener,org.hibernat
e.envers.event.AuditEventListener" />
<property name="hibernate.ejb.event.pre-collection-update"
value="org.hibernate.envers.event.AuditEventListener" />
<property name="hibernate.ejb.event.pre-collection-remove"
value="org.hibernate.envers.event.AuditEventListener" />
<property name="hibernate.ejb.event.post-collection-recreate"
value="org.hibernate.envers.event.AuditEventListener" />
In persistence.xml or hibernate.cfg.xml
15. And how to use?
<!-- Add on classpath | Maven -->
<dependency>
<groupId>org.hibernate</groupId>
<artifactId>hibernate-envers</artifactId>
<version>4.x.Final</version>
</dependency>
Requirements:
Hibernate 3+
Hibernate annotations
16. Simple sample
@Entity
public class Adress {
@Id
@GeneratedValue
private int id;
@Audited
private String streetName;
@Audited
private Long zipCode;
@Audited
@ManyToOne
private State state;
}
17. The whole entity
@Audited
public class Adress {
@Id
@GeneratedValue
private int id;
private String streetName;
private Long zipCode;
@ManyToOne
private State state;
}
@Audited // Here too!
public class State {
@Id
@GeneratedValue
private int id;
private String stateName;
private Long population;
}
18. … without a field
@Audited
public class Adress {
@Id
@GeneratedValue
private int id;
@NotAudited
private String streetName;
private Long zipCode;
@ManyToOne
private State state;
}
19. Changing the entity table
name
@Audited
@AuditTable(“TB_ADRESS_AUDIT”)
public class Adress {
@Id
@GeneratedValue
private int id;
@NotAudited
private String streetName;
private Long zipCode;
@ManyToOne
private State state;
}
21. Querying for entities of a
class at a given revision
AuditQuery query =
getAuditReader().createQuery()
.forEntitiesAtRevision(MyEntity.class,
revisionNumber);
22. Querying for revisions, at
which entities of a given class
changed
AuditQuery query =
getAuditReader().createQuery()
.forRevisionsOfEntity(MyEntity.class,
false, true);
24. Configuration Properties
// Prefixes and suffixes
org.hibernate.envers.audit_table_prefix
org.hibernate.envers.audit_table_suffix
// Revision number and revision type fields
org.hibernate.envers.revision_field_name
org.hibernate.envers.revision_type_field_name
// Default schema used
org.hibernate.envers.default_schema