1) O documento resume os principais tópicos sobre desenvolvimento web com Java Servlets, incluindo arquitetura MVC, ciclo de vida de servlets, mapeamento de URLs, redirecionamento e uso de sessões.
2) Os capítulos discutem métodos HTTP, requisições e respostas, listeners de eventos, parâmetros de inicialização e dispatching de requisições.
3) O documento fornece detalhes técnicos importantes sobre o framework Servlet e é útil para estudar para a certificação SCWCD 5.0.
O documento resume os principais conceitos de EJB, incluindo: 1) EJB são componentes padrão do lado do servidor para aplicações distribuídas e escaláveis; 2) Bean de Entidade usam JPA para mapear classes para tabelas de banco de dados; 3) Session Beans podem ser stateless, stateful ou MDBs e fornecem serviços para aplicações.
As 3 frases essenciais do documento são:
1) O documento fornece resumos e anotações importantes sobre os fundamentos da certificação SCJP 5.0, incluindo detalhes sobre variáveis, operadores, estruturas de controle, classes e interfaces.
2) São destacados pontos de atenção sobre inicialização e escopo de variáveis, operadores lógicos e de atribuição, encapsulamento, herança, polimorfismo e coleta de lixo.
3) Também são abordados conceitos-chave como override
Apostila JavaEE 5 Componentes Distribuídos EJB 3 e JBossGilberto Holms
Este documento fornece uma introdução aos principais conceitos e ferramentas para desenvolvimento de aplicações distribuídas em Java EE, incluindo: (1) Uso do JBoss Application Server e ferramentas como Eclipse IDE e MySQL; (2) Conceitos de computação distribuída e arquiteturas como CORBA e RMI; (3) Serviço de nomes JNDI; (4) Introdução à plataforma Java EE; (5) Enterprise JavaBeans; (6) Java Persistence API; (7) Mensageria JMS.
O documento resume as principais anotações JAX-WS para criar web services, incluindo @WebService, @WebMethod, @SOAPBinding, @WebParam e @WebResult para mapear métodos Java e parâmetros para operações SOAP.
1) O documento discute a arquitetura do Oracle WebLogic Portal, incluindo os serviços do portal como gerenciamento de conteúdo, perfis de usuário e segurança.
2) Também aborda o desenvolvimento de aplicações de portal, portlets e integração entre portlets.
3) Finalmente, explica conceitos como portlet preferences, comunicação assíncrona entre portlets e desenvolvimento de portlets com diferentes tecnologias.
Market Basket Analysis Algorithm with Map/Reduce of Cloud ComputingJongwook Woo
Market Basket Analysis Algorithm with Map/Reduce of Cloud Computing presented at PDPTA 2011 (http://www.world-academy-of-science.org/worldcomp11/ws/conferences/pdpta11)
1) O documento resume os principais tópicos sobre desenvolvimento web com Java Servlets, incluindo arquitetura MVC, ciclo de vida de servlets, mapeamento de URLs, redirecionamento e uso de sessões.
2) Os capítulos discutem métodos HTTP, requisições e respostas, listeners de eventos, parâmetros de inicialização e dispatching de requisições.
3) O documento fornece detalhes técnicos importantes sobre o framework Servlet e é útil para estudar para a certificação SCWCD 5.0.
O documento resume os principais conceitos de EJB, incluindo: 1) EJB são componentes padrão do lado do servidor para aplicações distribuídas e escaláveis; 2) Bean de Entidade usam JPA para mapear classes para tabelas de banco de dados; 3) Session Beans podem ser stateless, stateful ou MDBs e fornecem serviços para aplicações.
As 3 frases essenciais do documento são:
1) O documento fornece resumos e anotações importantes sobre os fundamentos da certificação SCJP 5.0, incluindo detalhes sobre variáveis, operadores, estruturas de controle, classes e interfaces.
2) São destacados pontos de atenção sobre inicialização e escopo de variáveis, operadores lógicos e de atribuição, encapsulamento, herança, polimorfismo e coleta de lixo.
3) Também são abordados conceitos-chave como override
Apostila JavaEE 5 Componentes Distribuídos EJB 3 e JBossGilberto Holms
Este documento fornece uma introdução aos principais conceitos e ferramentas para desenvolvimento de aplicações distribuídas em Java EE, incluindo: (1) Uso do JBoss Application Server e ferramentas como Eclipse IDE e MySQL; (2) Conceitos de computação distribuída e arquiteturas como CORBA e RMI; (3) Serviço de nomes JNDI; (4) Introdução à plataforma Java EE; (5) Enterprise JavaBeans; (6) Java Persistence API; (7) Mensageria JMS.
O documento resume as principais anotações JAX-WS para criar web services, incluindo @WebService, @WebMethod, @SOAPBinding, @WebParam e @WebResult para mapear métodos Java e parâmetros para operações SOAP.
1) O documento discute a arquitetura do Oracle WebLogic Portal, incluindo os serviços do portal como gerenciamento de conteúdo, perfis de usuário e segurança.
2) Também aborda o desenvolvimento de aplicações de portal, portlets e integração entre portlets.
3) Finalmente, explica conceitos como portlet preferences, comunicação assíncrona entre portlets e desenvolvimento de portlets com diferentes tecnologias.
Market Basket Analysis Algorithm with Map/Reduce of Cloud ComputingJongwook Woo
Market Basket Analysis Algorithm with Map/Reduce of Cloud Computing presented at PDPTA 2011 (http://www.world-academy-of-science.org/worldcomp11/ws/conferences/pdpta11)
This document summarizes a presentation about William Hill's Omnia distributed and reactive data management platform. It describes the key components of Omnia including Chronos for data ingestion, Fates for long-term storage, Neocortex for real-time processing, and Hermes for serving data. It also discusses requirements around availability, fault tolerance and scalability that drove the design. Examples use cases around bet suggestions and gamification are also presented.
Market Basket Analysis Algorithm with no-SQL DB HBase and Hadoop Jongwook Woo
The document describes a market basket analysis algorithm using MapReduce and HBase to analyze transaction data from stores. The algorithm breaks transaction data into key-value pairs of item pairs, aggregates the counts using MapReduce, and stores the results in HBase. An experiment loaded transaction data of various sizes into Hadoop and analyzed the data, finding execution times increased with more data and nodes but HBase provided faster retrieval compared to HDFS alone.
Count-Min Tree Sketch : Approximate counting for NLP tasksGuillaume Pitel
Count-Min Tree sktech is a variant of the Count-Min Sketch, tailored for Zipfian (or power law) data distribution. With memory footprint improvement of 4 to 8 times against other variants, and on-par performance with native strict counting, the Count-Min Tree sketch can be used in many time-critical situations. It is developped by eXenSa (www.exensa.com)
QConSF 2014 talk on Netflix Mantis, a stream processing systemDanny Yuan
Justin and I gave this talk in QCon SF 2014 about the Mantis, a stream processing system that features a reactive programming API, auto scaling, and stream locality
Dataframes in Spark - Data Analysts' perspectiveMarcin Szymaniuk
Are you a data analyst who works with Spark and often gets confused by failures you don’t understand? Have you seen a bunch of presentations or blog posts about Spark performance but you are still not certain how to apply the hints you have been given in practice?
Spark is commonly used by people who are not experts in programming but they know SQL and sometimes basic Python. They treat Spark as a tool for getting business value from the the data. And that is how it should be! Although it’s common that queries they run do not work for any obvious reason. This talk is designed for such Spark users and will be focused on common problems with Spark (especially DataFrames and SQL) which can be solved by anyone familiar with SQL. You don’t need to read bytecode to understand the techniques presented and apply them in practice!
This talk will be a case study of multiple DataFrame queries in Spark which initially do not work. I will not only explain how to fix them, but we will go through the solution step-by-step so you will learn what to pay attention to and how to apply similar techniques to your codebase!
This document discusses using DataFrames in Spark from a data analyst's perspective. It provides an overview of Spark for data analysts, the Spark execution model, and some case studies. The key points are:
- DataFrames in Spark allow analysts to analyze all data faster without extra data copies by bringing analysis to the data.
- Transformations like joins, groups, and aggregations can be narrow transformations that operate on each partition separately or wide transformations that require data shuffling between partitions.
- Organizing data by date partitions (year/month/day) and repartitioning before partitioning can improve query performance for date-based queries and avoid creating too many small files.
This document discusses preprocessing CVS data for fine-grained analysis. It describes copying CVS data into a database and inferring transactions from time windows and commit mails. Transactions are further cleaned by removing large outliers and merging related changes. Detecting fine-grained changes like functions between revisions is also discussed. Lessons learned include using sliding time windows, setting time window lengths to 3-5 minutes, and that preprocessing is key to reliable analysis.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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!
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
This document summarizes a presentation about William Hill's Omnia distributed and reactive data management platform. It describes the key components of Omnia including Chronos for data ingestion, Fates for long-term storage, Neocortex for real-time processing, and Hermes for serving data. It also discusses requirements around availability, fault tolerance and scalability that drove the design. Examples use cases around bet suggestions and gamification are also presented.
Market Basket Analysis Algorithm with no-SQL DB HBase and Hadoop Jongwook Woo
The document describes a market basket analysis algorithm using MapReduce and HBase to analyze transaction data from stores. The algorithm breaks transaction data into key-value pairs of item pairs, aggregates the counts using MapReduce, and stores the results in HBase. An experiment loaded transaction data of various sizes into Hadoop and analyzed the data, finding execution times increased with more data and nodes but HBase provided faster retrieval compared to HDFS alone.
Count-Min Tree Sketch : Approximate counting for NLP tasksGuillaume Pitel
Count-Min Tree sktech is a variant of the Count-Min Sketch, tailored for Zipfian (or power law) data distribution. With memory footprint improvement of 4 to 8 times against other variants, and on-par performance with native strict counting, the Count-Min Tree sketch can be used in many time-critical situations. It is developped by eXenSa (www.exensa.com)
QConSF 2014 talk on Netflix Mantis, a stream processing systemDanny Yuan
Justin and I gave this talk in QCon SF 2014 about the Mantis, a stream processing system that features a reactive programming API, auto scaling, and stream locality
Dataframes in Spark - Data Analysts' perspectiveMarcin Szymaniuk
Are you a data analyst who works with Spark and often gets confused by failures you don’t understand? Have you seen a bunch of presentations or blog posts about Spark performance but you are still not certain how to apply the hints you have been given in practice?
Spark is commonly used by people who are not experts in programming but they know SQL and sometimes basic Python. They treat Spark as a tool for getting business value from the the data. And that is how it should be! Although it’s common that queries they run do not work for any obvious reason. This talk is designed for such Spark users and will be focused on common problems with Spark (especially DataFrames and SQL) which can be solved by anyone familiar with SQL. You don’t need to read bytecode to understand the techniques presented and apply them in practice!
This talk will be a case study of multiple DataFrame queries in Spark which initially do not work. I will not only explain how to fix them, but we will go through the solution step-by-step so you will learn what to pay attention to and how to apply similar techniques to your codebase!
This document discusses using DataFrames in Spark from a data analyst's perspective. It provides an overview of Spark for data analysts, the Spark execution model, and some case studies. The key points are:
- DataFrames in Spark allow analysts to analyze all data faster without extra data copies by bringing analysis to the data.
- Transformations like joins, groups, and aggregations can be narrow transformations that operate on each partition separately or wide transformations that require data shuffling between partitions.
- Organizing data by date partitions (year/month/day) and repartitioning before partitioning can improve query performance for date-based queries and avoid creating too many small files.
This document discusses preprocessing CVS data for fine-grained analysis. It describes copying CVS data into a database and inferring transactions from time windows and commit mails. Transactions are further cleaned by removing large outliers and merging related changes. Detecting fine-grained changes like functions between revisions is also discussed. Lessons learned include using sliding time windows, setting time window lengths to 3-5 minutes, and that preprocessing is key to reliable analysis.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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!
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
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.
3. Balance Line Algorithm
What is “Balance Line” ?
Balance Line is an algorithm, a computational
technique to coordinate the processing of
sequential massive data.
http://gibaholms.wordpress.com/
4. Balance Line Algorithm
What are “Sequential Data” ?
Sequential Data are big data sets, from one or
more data sources, that have a common key and
present themselves ordered by that key.
http://gibaholms.wordpress.com/
5. Balance Line Algorithm
Why to use ?
Improves the processing performance
Saves computational resources
http://gibaholms.wordpress.com/
6. Balance Line Algorithm
When to use ?
Data synchronization (like iPod)
Data loading (full or partial)
Data conciliation
http://gibaholms.wordpress.com/
7. Case Study
The “X” company have in your database a big table containing main
information about all the banks and agencies of the country
(number, address, contacts). Daily, this company receives from the Central
Bank a file that is a huge text file containing the newest data about the
agencies, where might occur the following conditions:
Data update (changes on number, address, contacts and so on)
Agency not exists anymore
New agency added
Our work is to develop a software to maintain this table up-to-date, making
the file process and syncronize the record changes.
http://gibaholms.wordpress.com/
8. Dummy Solution
Begin
For each text file line
Check if the agency
exists
Exists Y Check if the agency Data
N
? changed data changed ?
N Y
INSERT UPDATE
N End of file
?
Y
For each record that
DELETE
not exists anymore
End
http://gibaholms.wordpress.com/
9. Balance Line Algorithm Concepts
Master File
Is the main data set, represents the final view of the data, the
persistent, the reference, the orign.
Transaction File
Is the secoundary data set, represents the transactions
made, contais the data that must be syncronized with the orign.
Key
Is an unique identificator that identifies one single record (can be
a single field, a mix of fields, a SHA-1 hash and so on).
BalanceLine
Transaction
Master BalanceLine
Transaction
http://gibaholms.wordpress.com/
...
10. Balance Line Algorithm Concepts
The big secret ...
SORTING BY KEY !
http://gibaholms.wordpress.com/
14. Balance Line Algorithm – Step by Step
4 – Begin key comparison
KM > KT INSERT, moves T
Master Transaction
5 ..... 3 .....
10 ..... 10 .....
17 ..... 17 .....
20 ..... 18 .....
http://gibaholms.wordpress.com/
15. Balance Line Algorithm – Step by Step
4 – Begin key comparison
KM < KT DELETE, moves M
Master Transaction
5 ..... 3 .....
10 ..... 10 .....
17 ..... 17 .....
20 ..... 18 .....
http://gibaholms.wordpress.com/
16. Balance Line Algorithm – Step by Step
4 – Begin key comparison
KM = KT UPDATE, moves M and T
Master Transaction
5 ..... 3 .....
10 ..... 10 .....
17 ..... 17 .....
20 ..... 18 .....
http://gibaholms.wordpress.com/
17. Balance Line Algorithm – Step by Step
4 – Begin key comparison
KM = KT UPDATE, moves M and T
Master Transaction
5 ..... 3 .....
10 ..... 10 .....
17 ..... 17 .....
20 ..... 18 .....
http://gibaholms.wordpress.com/
18. Balance Line Algorithm – Step by Step
4 – Begin key comparison
KM > KT INSERT, moves T
Master Transaction
5 ..... 3 .....
10 ..... 10 .....
17 ..... 17 .....
20 ..... 18 .....
http://gibaholms.wordpress.com/
19. Balance Line Algorithm – Step by Step
4 – Begin key comparison
KM (no KT) DELETE, moves M
Master Transaction
5 ..... 3 .....
10 ..... 10 .....
17 ..... 17 .....
20 ..... 18 .....
http://gibaholms.wordpress.com/
20. Balance Line Algorithm – Step by Step
5 – Final master file
Master
3 .....
10 .....
17 .....
18 .....
http://gibaholms.wordpress.com/
21. BalanceLine4j Framework
Java implementation of Balance Line algorithm
Focus on business rules and let the framework handle the
algorithm
Provides abstraction of Sequential Data Sources that can be any
sortable data set (Comparable<T>):
Object Collections, Sets, Maps
Text files (with a built-in text file sorter)
Database Resultsets
Custom (interface provided)
Algorithm run by data streaming, little memory consumption
Easy to use, easy API, no knowledge of the algorithm required
Better to maintain and evolve because it promotes isolation of
business rules out of the algorithm code
http://gibaholms.wordpress.com/
22. BalanceLine4j Framework – Additional Features
FileSorter.java
The framework provides a great file sorter class capable of safely
sort big quantity of text data without memory overflow, because
it uses the file system to write temporary chunks of data and then
merge-sort all chunks.
http://gibaholms.wordpress.com/
23. Back to Case Study
Master File: bank agencies database table (select * order by)
Transaction File: positional text file with the newest agencies
information (if not sorted, use the FileSorter class)
Key: string concatenation of bank number + agency number
Sync Mode: full (if the agency not exists anymore, delete it)
Benchmark: Dummy Solution vs. Balance Line Solution
http://gibaholms.wordpress.com/
24. Back to Case Study
Dummy Solution
1 random access for each transaction record
33.218 lines x 1 query with “where” clause = 33.218
queries with “where” clause
Same slow processing time in every sync
Balance Line Solution
1 single sequential access
1 query with “order by” clause
Fastest processing time in first sync (70% up) and much
more faster in next syncs (less changes = less processing
time because keys moves faster)
http://gibaholms.wordpress.com/
25. BalanceLine4j Framework – Complementary Strategies
To further increase performance of the Balance Line processing
algorithm, there are some complementary techniques that can be
used:
Dump data from database to text, work at filesystem I/O level and
then update the database (filesystem I/O is faster than
networking I/O)
Sometimes using a hash code (MD5, SHA-1) to check if a record
have changed is faster than compare field by field
Use a transaction code (insert, update, delete) to identify the
transaction type made per record in transaction file
Buffer some records into memory to optimize the data streaming
http://gibaholms.wordpress.com/
26. More Information and Samples
Project Site: https://github.com/gibaholms/balanceline4j/
Authors Blog: http://gibaholms.wordpress.com/
Authors Twitter: @gibaholms
Thanks !
gibaholms85@gmail.com
http://gibaholms.wordpress.com/