In this session, learn about the new, seller-specific features in AWS Marketplace that make it easy for sellers to close transactions with over 190K active customers. Learn how to publish and update products as part of your feature release process with Self Service Listings. We review how you can target specific customers with special or customized pricing using Seller Private Offers and how you can accelerate your contract negotiations with the Enterprise Contract for AWS Marketplace. Lastly, we discuss how to combine these and other AWS Marketplace features to grow your business by reaching new buyers and converting perpetual licensed customers to a subscription model.
Rapid Innovation: The Business Case for Modern Application Development (SRV20...Amazon Web Services
Modern application development is not a buzzword—it’s an innovation strategy that organizations of all sizes can use to increase revenue, lower costs, and outpace the competition. In this session, learn how you can unblock digital product and service innovation for your own organization. Putting technology details aside, we explain what modern application development really is, why it matters to the business, what success metrics you should expect, and how to navigate your own transition.
From Insights to Action, How to build and maintain a Data Driven Organization...Amazon Web Services Korea
데이터는 혁신과 변혁의 토대입니다. 비즈니스 혁신을 이끄는 혁신은 특정 시점의 전략이나 솔루션이 아니라 성장을 위한 반복적이고 집단적인 계획입니다. 혁신에 이러한 접근 방식을 채택하는 기업은 전략과 비즈니스 문화에서 데이터를 기반으로 하는 경우가 많습니다. 이러한 접근 방식을 개발하려면 리더가 데이터를 조직의 자산처럼 취급하고 조직이 더 나은 비즈니스 성과를 위해 데이터를 활용할 수 있도록 권한을 부여해야 합니다. AWS와 Amazon이 어떻게 데이터와 분석을 활용하여 확장 가능한 비즈니스 효율성을 창출하고 고객의 가장 복잡한 문제를 해결하는 메커니즘을 개발했는지 알아보십시오.
ENT211_How to Assess Your Organization’s Readiness to Migrate at Scale to AWSAmazon Web Services
Migrating to the cloud provides an opportunity to reinvent your organization's operations and the management of your IT landscape. In this session, we discuss how to evaluate your organizational readiness for the cloud and how to develop foundational capabilities before the migration. We also review key considerations developed by AWS Professional Services to help organizations prepare for a migration at scale through the Migration Readiness Assessment (MRA) and Migration Readiness and Planning (MRP) programs.
Product-thinking is making a big impact in the data world with the rise of Data Products, Data Product Managers, data mesh, and treating “Data as a Product.” But Honest, No-BS: What is a Data Product? And what key questions should we ask ourselves while developing them? Tim Gasper (VP of Product, data.world), will walk through the Data Product ABCs as a way to make treating data as a product way simpler: Accountability, Boundaries, Contracts and Expectations, Downstream Consumers, and Explicit Knowledge.
Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at DatabricksDatabricks
The cloud has become one of the most attractive ways for enterprises to purchase software, but it requires building products in a very different way from traditional software
Rapid Innovation: The Business Case for Modern Application Development (SRV20...Amazon Web Services
Modern application development is not a buzzword—it’s an innovation strategy that organizations of all sizes can use to increase revenue, lower costs, and outpace the competition. In this session, learn how you can unblock digital product and service innovation for your own organization. Putting technology details aside, we explain what modern application development really is, why it matters to the business, what success metrics you should expect, and how to navigate your own transition.
From Insights to Action, How to build and maintain a Data Driven Organization...Amazon Web Services Korea
데이터는 혁신과 변혁의 토대입니다. 비즈니스 혁신을 이끄는 혁신은 특정 시점의 전략이나 솔루션이 아니라 성장을 위한 반복적이고 집단적인 계획입니다. 혁신에 이러한 접근 방식을 채택하는 기업은 전략과 비즈니스 문화에서 데이터를 기반으로 하는 경우가 많습니다. 이러한 접근 방식을 개발하려면 리더가 데이터를 조직의 자산처럼 취급하고 조직이 더 나은 비즈니스 성과를 위해 데이터를 활용할 수 있도록 권한을 부여해야 합니다. AWS와 Amazon이 어떻게 데이터와 분석을 활용하여 확장 가능한 비즈니스 효율성을 창출하고 고객의 가장 복잡한 문제를 해결하는 메커니즘을 개발했는지 알아보십시오.
ENT211_How to Assess Your Organization’s Readiness to Migrate at Scale to AWSAmazon Web Services
Migrating to the cloud provides an opportunity to reinvent your organization's operations and the management of your IT landscape. In this session, we discuss how to evaluate your organizational readiness for the cloud and how to develop foundational capabilities before the migration. We also review key considerations developed by AWS Professional Services to help organizations prepare for a migration at scale through the Migration Readiness Assessment (MRA) and Migration Readiness and Planning (MRP) programs.
Product-thinking is making a big impact in the data world with the rise of Data Products, Data Product Managers, data mesh, and treating “Data as a Product.” But Honest, No-BS: What is a Data Product? And what key questions should we ask ourselves while developing them? Tim Gasper (VP of Product, data.world), will walk through the Data Product ABCs as a way to make treating data as a product way simpler: Accountability, Boundaries, Contracts and Expectations, Downstream Consumers, and Explicit Knowledge.
Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at DatabricksDatabricks
The cloud has become one of the most attractive ways for enterprises to purchase software, but it requires building products in a very different way from traditional software
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...HostedbyConfluent
Organizations have been chasing the dream of data democratization, unlocking and accessing data at scale to serve their customers and business, for over a half a century from early days of data warehousing. They have been trying to reach this dream through multiple generations of architectures, such as data warehouse and data lake, through a cambrian explosion of tools and a large amount of investments to build their next data platform. Despite the intention and the investments the results have been middling.
In this keynote, Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This talk introduces the principles underpinning data mesh and Zhamak's recent learnings in creating a path to bring data mesh to life in your organization.
Evolution from EDA to Data Mesh: Data in Motionconfluent
Thoughtworks Zhamak Dehghani observations on these traditional approaches’s failure modes, inspired her to develop an alternative big data management architecture that she aptly named the Data Mesh. This represents a paradigm shift that draws from modern distributed architecture and is founded on the principles of domain-driven design, self-serve platform, and product thinking with Data. In the last decade Apache Kafka has established a new category of data management infrastructure for data in motion that has been leveraged in modern distributed data architectures.
Modern Cloud Data Warehousing ft. Equinox Fitness Clubs: Optimize Analytics P...Amazon Web Services
Most companies are overrun with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. In this session, we discuss the most common use cases with Amazon Redshift, and we take an in-depth look at how modern data warehousing blends and analyzes all your data to give you deeper insights to run your business. Equinox Fitness Clubs joins us to share their journey from static reports, redundant data, and inefficient data intergration to a modern and flexible data lake and data warehouse architecture that delivers dynamic reports based on trusted data.
Big Data Analytics Architectural Patterns and Best Practices (ANT201-R1) - AW...Amazon Web Services
In this session, we discuss architectural principles that helps simplify big data analytics.
We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on.
Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
Jump-start your application migration to AWS with CloudEndure - STG305 - New ...Amazon Web Services
CloudEndure Migration is a no-cost solution for moving applications from any physical, virtual, or cloud-based infrastructure to AWS. It simplifies, expedites, and reduces the cost of cloud migration by offering a highly automated lift-and-shift solution. In this workshop, you learn how to install a CloudEndure agent, monitor initial replication process steps in the console, configure target blueprints, and launch test instances in AWS.
Data Lake allows an organisation to store all of their data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. In this session we will explore the architecture of a Data Lake on AWS and cover topics such as storage, processing and security.
Speakers:
Tom McMeekin, Associate Solutions Architect, Amazon Web Services
Architect’s Open-Source Guide for a Data Mesh ArchitectureDatabricks
Data Mesh is an innovative concept addressing many data challenges from an architectural, cultural, and organizational perspective. But is the world ready to implement Data Mesh?
In this session, we will review the importance of core Data Mesh principles, what they can offer, and when it is a good idea to try a Data Mesh architecture. We will discuss common challenges with implementation of Data Mesh systems and focus on the role of open-source projects for it. Projects like Apache Spark can play a key part in standardized infrastructure platform implementation of Data Mesh. We will examine the landscape of useful data engineering open-source projects to utilize in several areas of a Data Mesh system in practice, along with an architectural example. We will touch on what work (culture, tools, mindset) needs to be done to ensure Data Mesh is more accessible for engineers in the industry.
The audience will leave with a good understanding of the benefits of Data Mesh architecture, common challenges, and the role of Apache Spark and other open-source projects for its implementation in real systems.
This session is targeted for architects, decision-makers, data-engineers, and system designers.
Breaking down an Industrial IoT reference architecture.pptxNeel Sendas
This talk at Hannover Messe shares the best practices of designing a large scale IIOT infrastructure using AWS services. It explore the pitfalls and common problems customers face when they plan to implement IoT Infrastructure and discovers the top IIoT golden rules to improve the design posture in the factory.
This session is designed to introduce you to fundamental cloud computing and AWS security concepts that will help you prepare for the Security Week sessions, demos, and workshops. We will also provide an overview of the Security pillar of the AWS Cloud Adoption Framework (CAF) and talk about how AWS keeps humans away from data—and how you can, too.
최근 데이터의 폭증과 이를 기반한 빅데이터 분석이 기업 비지니스 성패에 큰 영향을 끼치고 있습니다. 다양한 기업의 데이터 기반 의사 결정을 위한 요구를 수용하는 분석 플랫폼과 인공 지능 기술의 도입은 큰 화두입니다. 본 세션에서는 기업의 비지니스 전략 및 기획을 담당하시는 분들을 위해 클라우드 기반 데이터 분석 플랫폼을 쉽게 접근하고 사용할 수 있는 방법을 사례 위주로 소개합니다.국내외 주요 기업들이 어떻게 AWS기반 데이터 분석 및 기계 학습 서비스로 비지니스 혁신에 활용하고 있는지 알아보시기 바랍니다.
다시보기 링크: https://youtu.be/24YgdrJ9r-A
How Hess Has Continued to Optimize the AWS Cloud After Migrating - ENT218 - r...Amazon Web Services
Hess Corporation is a leading global independent energy company engaged in exploration for and production of crude oil and natural gas. Early in Hess's journey to the cloud, they operated the AWS platform in a manner similar to how they operated their on-premises data centers, creating a number of challenges. In this session, Hess Corporation discusses how they worked to further optimize their use of the AWS Cloud following their data center migration. They also cover technical strategies implemented to improve security, governance, and financial reporting and examine changes to their corporate culture that encourage innovation while improving cost controls.
There are options beyond a straight forward lift and shift into Azure IaaS. What are your options? Learn how Azure helps modernize applications faster with containers and how you can use serverless to add additional functionality while keeping your production codebase 'clean'. We'll also learn how to incorporate DevOps throughout your apps lifecycle and take advantage of data-driven intelligence. Demo intensive session integrating the likes of Service Fabric, AKS VSTS and more.
How to Sell on AWS Marketplace (GPSMP202) - AWS re:Invent 2018Amazon Web Services
In this session, we describes the steps for listing your product on AWS Marketplace. Learn how leading ISVs are reaching new customers and decreasing the time it takes to close transactions using AWS Marketplace.
Amazon Web Services (AWS) provides a low cost, reliable and secure foundation for you to use as you build and deliver Software as a Service (SaaS) solutions to customers. For ISVs, the process of transition from a traditional (license based) model to a Software as a Service (SaaS) is a challenge that concerns not only the technical aspect, but also financial and commercial strategy aspects. In this presentation you will find out how AWS can become the ideal partner to support the transformation.
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...HostedbyConfluent
Organizations have been chasing the dream of data democratization, unlocking and accessing data at scale to serve their customers and business, for over a half a century from early days of data warehousing. They have been trying to reach this dream through multiple generations of architectures, such as data warehouse and data lake, through a cambrian explosion of tools and a large amount of investments to build their next data platform. Despite the intention and the investments the results have been middling.
In this keynote, Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This talk introduces the principles underpinning data mesh and Zhamak's recent learnings in creating a path to bring data mesh to life in your organization.
Evolution from EDA to Data Mesh: Data in Motionconfluent
Thoughtworks Zhamak Dehghani observations on these traditional approaches’s failure modes, inspired her to develop an alternative big data management architecture that she aptly named the Data Mesh. This represents a paradigm shift that draws from modern distributed architecture and is founded on the principles of domain-driven design, self-serve platform, and product thinking with Data. In the last decade Apache Kafka has established a new category of data management infrastructure for data in motion that has been leveraged in modern distributed data architectures.
Modern Cloud Data Warehousing ft. Equinox Fitness Clubs: Optimize Analytics P...Amazon Web Services
Most companies are overrun with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. In this session, we discuss the most common use cases with Amazon Redshift, and we take an in-depth look at how modern data warehousing blends and analyzes all your data to give you deeper insights to run your business. Equinox Fitness Clubs joins us to share their journey from static reports, redundant data, and inefficient data intergration to a modern and flexible data lake and data warehouse architecture that delivers dynamic reports based on trusted data.
Big Data Analytics Architectural Patterns and Best Practices (ANT201-R1) - AW...Amazon Web Services
In this session, we discuss architectural principles that helps simplify big data analytics.
We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on.
Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
Jump-start your application migration to AWS with CloudEndure - STG305 - New ...Amazon Web Services
CloudEndure Migration is a no-cost solution for moving applications from any physical, virtual, or cloud-based infrastructure to AWS. It simplifies, expedites, and reduces the cost of cloud migration by offering a highly automated lift-and-shift solution. In this workshop, you learn how to install a CloudEndure agent, monitor initial replication process steps in the console, configure target blueprints, and launch test instances in AWS.
Data Lake allows an organisation to store all of their data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. In this session we will explore the architecture of a Data Lake on AWS and cover topics such as storage, processing and security.
Speakers:
Tom McMeekin, Associate Solutions Architect, Amazon Web Services
Architect’s Open-Source Guide for a Data Mesh ArchitectureDatabricks
Data Mesh is an innovative concept addressing many data challenges from an architectural, cultural, and organizational perspective. But is the world ready to implement Data Mesh?
In this session, we will review the importance of core Data Mesh principles, what they can offer, and when it is a good idea to try a Data Mesh architecture. We will discuss common challenges with implementation of Data Mesh systems and focus on the role of open-source projects for it. Projects like Apache Spark can play a key part in standardized infrastructure platform implementation of Data Mesh. We will examine the landscape of useful data engineering open-source projects to utilize in several areas of a Data Mesh system in practice, along with an architectural example. We will touch on what work (culture, tools, mindset) needs to be done to ensure Data Mesh is more accessible for engineers in the industry.
The audience will leave with a good understanding of the benefits of Data Mesh architecture, common challenges, and the role of Apache Spark and other open-source projects for its implementation in real systems.
This session is targeted for architects, decision-makers, data-engineers, and system designers.
Breaking down an Industrial IoT reference architecture.pptxNeel Sendas
This talk at Hannover Messe shares the best practices of designing a large scale IIOT infrastructure using AWS services. It explore the pitfalls and common problems customers face when they plan to implement IoT Infrastructure and discovers the top IIoT golden rules to improve the design posture in the factory.
This session is designed to introduce you to fundamental cloud computing and AWS security concepts that will help you prepare for the Security Week sessions, demos, and workshops. We will also provide an overview of the Security pillar of the AWS Cloud Adoption Framework (CAF) and talk about how AWS keeps humans away from data—and how you can, too.
최근 데이터의 폭증과 이를 기반한 빅데이터 분석이 기업 비지니스 성패에 큰 영향을 끼치고 있습니다. 다양한 기업의 데이터 기반 의사 결정을 위한 요구를 수용하는 분석 플랫폼과 인공 지능 기술의 도입은 큰 화두입니다. 본 세션에서는 기업의 비지니스 전략 및 기획을 담당하시는 분들을 위해 클라우드 기반 데이터 분석 플랫폼을 쉽게 접근하고 사용할 수 있는 방법을 사례 위주로 소개합니다.국내외 주요 기업들이 어떻게 AWS기반 데이터 분석 및 기계 학습 서비스로 비지니스 혁신에 활용하고 있는지 알아보시기 바랍니다.
다시보기 링크: https://youtu.be/24YgdrJ9r-A
How Hess Has Continued to Optimize the AWS Cloud After Migrating - ENT218 - r...Amazon Web Services
Hess Corporation is a leading global independent energy company engaged in exploration for and production of crude oil and natural gas. Early in Hess's journey to the cloud, they operated the AWS platform in a manner similar to how they operated their on-premises data centers, creating a number of challenges. In this session, Hess Corporation discusses how they worked to further optimize their use of the AWS Cloud following their data center migration. They also cover technical strategies implemented to improve security, governance, and financial reporting and examine changes to their corporate culture that encourage innovation while improving cost controls.
There are options beyond a straight forward lift and shift into Azure IaaS. What are your options? Learn how Azure helps modernize applications faster with containers and how you can use serverless to add additional functionality while keeping your production codebase 'clean'. We'll also learn how to incorporate DevOps throughout your apps lifecycle and take advantage of data-driven intelligence. Demo intensive session integrating the likes of Service Fabric, AKS VSTS and more.
How to Sell on AWS Marketplace (GPSMP202) - AWS re:Invent 2018Amazon Web Services
In this session, we describes the steps for listing your product on AWS Marketplace. Learn how leading ISVs are reaching new customers and decreasing the time it takes to close transactions using AWS Marketplace.
Amazon Web Services (AWS) provides a low cost, reliable and secure foundation for you to use as you build and deliver Software as a Service (SaaS) solutions to customers. For ISVs, the process of transition from a traditional (license based) model to a Software as a Service (SaaS) is a challenge that concerns not only the technical aspect, but also financial and commercial strategy aspects. In this presentation you will find out how AWS can become the ideal partner to support the transformation.
Maximize Innovation and Agility by Building Your SaaS Solution on AWS (GPSBUS...Amazon Web Services
AWS Partner Network (APN) Partners seek a SaaS delivery model for their products to support rapidly changing customer business needs, save costs, and expand market value. AWS has over ten years of experience supporting thousands of ISVs who use AWS services and products as the foundation for their software business, leveraging our rapid pace of service and product innovation, pay-as-you-go pricing, scale and availability, security and compliance, and global reach. In this session, you hear directly from partners who have successfully built their SaaS business on AWS, including how they transformed their business, the impact on business and customers, and ways they used the APN along the way.
Presentation on Mastering the Secret Sauce to SaaS. Using AWS to Kick-start your Journey to Cloud Services by Adrian De Luca - Head of Solution Architecture, Partners & Ecosystems, Asia Pacific, AWS and Vinod Chandramouli, Global Head, Presales & Marketplace, Freshworks at AWS Partner Summit Mumbai 2018
Migrate, Modernize, and Manage: Best Practices for a Cloud MigrationAmazon Web Services
Learn about best practices for migrating to the Cloud, and how we can integrate with your IT Operations Control / IT Service Management platform within AWS and enable this transition while ensuring governance, security, and access controls that can be deployed to your internal teams.
Mastering the Secret Sauce to SaaS - Adrian De Luca - AWS TechShift ANZ 2018Amazon Web Services
Gartner predicts APAC cloud services spend will be $15.8B by 2020. With the SaaS segment growing at an average of 24% year on year, your customers are increasingly expecting to consume software as a service. In this session you will hear how SaaS delivery accelerates customer adoption, helping you go global, use the AWS SaaS Reference Architecture to implement best practices and leverage AWS programs to help you achieve success on your journey.
1. Cloud Adoption Journey reference framework to help Teams move to Cloud and become Cloud Native
2. Define basic Pillars to include Security & Compliance, Costs Optimization, Scalability and Performance as well as Operational Excellence, AWS Well-Architected as guidance
3. Goal is to assess and guide Companies/Teams in Portfolio to faster adopt and evolve Cloud concepts to focus on Business value
4. Governance as a key driver to boost flexibility, reduce risks and foster efficiency
5. Enterprise Transformation Architecture offerings
Better understanding of:
- How to leverage the APN program and improve competency in AWS Partnership
- APN Funding Programs
- AWS SaaS Accelerate Program
- AWS Solution Provider Program
Speaker: Clovis Ng, Partner Development Manager, AWS
AWS STARTUP DAY 2018 I Go-To-Market for Startups with AWSAWS Germany
AWS is known for helping startups scale and grow. Join us to learn more about how you can benefit from these programs specifically designed for startups including; AWS Activate, AWS Marketplace for SaaS Startups, Amazon Launchpad and the Alexa Fund to name a few. We’ll outline the ways these go-to-market programs can provide startups with the resources to help accelerate your business, reduce time-to-market and achieve competitive differentiation.
Get a consumer-based experience to software provisioning with AWS MarketplaceAmazon Web Services
With over 200K customers worldwide, AWS Marketplace has the widest selection of software listings in categories like security, storage, ML, etc. In this session, we’ll show you why you should adopt an AWS Marketplace first strategy when buying third party software. You’ll learn how you can transact through your current Channel or Consulting Partner and build solutions that accelerate your business.
APN & AWS Marketplace Overview: How to Build Your Business with AWS Amazon Web Services
In this session, we will cover how ISV, VAR’s, and SI can become AWS partners and take advantage of AWS global programs and tools that can help partners grow and manage their business . Learn how partners have leveraged global AWS programs and the AWS Marketplace to quickly Cloud-enable their software and make it available for customers worldwide to purchase and run on AWS.
AWS Marketplace Enabling Digital Innovation - David Wright - AWS TechShift 2018Amazon Web Services
In the age of digital transformation the need for a digital channel to enable the then age builders to provide solutions and met goals is a key but forgotten part of the digital journey. Come and hear what customers are asking for and how you as an ISV or consulting partner can address this opportunity in the market.
AWS IoT for Frictionless Consumer Experiences in Retail (RET201) - AWS re:Inv...Amazon Web Services
Gaining key real-time insights is a key differentiator in retail decision making. Traditional or legacy retail processes are often batch-based or delayed in data processing systems that offer post insights to events. Placing a best practice messaging substrate into stores and other environments can provide an over-the-top real-time channel for insights into multiple use cases. Similarly, actions can be pushed in real-time back to the store to action responses to those insights gained. In this session, we demonstrate how AWS Greengrass and AWS IoT services continue gathering data from devices in a store, such as point of sales for analysis, even when connectivity to the cloud is not constant. We dive into how you can leverage Lambda functions on local AWS Greengrass devices to stream in-store events in real time to a data lake in Amazon S3. This data can then be used to derive business insights to drive appropriate action.
Similar to Using AWS Marketplace to Reach Over 190,000 Customers (GPSMP203) - AWS re:Invent 2018 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.