The document discusses strategies for migrating databases to the cloud. It begins by outlining objectives and factors that contribute to successful database migration projects. It then covers various migration options like rehosting, replatforming, or rearchitecting databases. The document also discusses tools like the Schema Conversion Tool (SCT) and Database Migration Service (DMS) that can assist with assessment, conversion between database engines, and migrating data between on-premises and cloud databases. The overall process involves planning, assessment, executing the migration in phases, and testing.
Supercell – Scaling Mobile Games (GAM301) - AWS re:Invent 2018Amazon Web Services
In this session, learn how Supercell architected its analytics pipeline on AWS. We dive deep into how Supercell leverages Amazon Elastic Compute Cloud (Amazon EC2), Amazon Kinesis, Amazon Simple Storage Service (Amazon S3), Amazon EMR, and Spark to ingest, process, store, and query petabytes of data. We also dive deep into how Supercell's games are architected to accommodate scaling and failure recovery. We explain how Supercell's teams are organized into small and independent cells and how this affects the technology choices they make to produce value and agility in the development process.
Amazon Cloud Directory Deep Dive (DAT364) - AWS re:Invent 2018Amazon Web Services
Learn how companies like FocusCura and Clouden have on-boarded hierarchical data at scale using Amazon Cloud Directory, a highly available, fully managed, serverless, hierarchical datastore. It’s well-suited for such use cases as human resources applications, course catalogs, device registry, network topology, and any application that needs fine-grained permissions (authorization). We do a deep dive into the internals of Cloud Directory and discuss best practices.
Develop Cross-Platform Mobile Apps with React Native, GraphQL, & AWS (MOB324)...Amazon Web Services
If you want to rapidly release a mobile app, leveraging cross-platform development techniques using a commonly known language is a proven strategy. In this session, we introduce React Native, a cross-platform JavaScript framework for building native iOS and Android apps. We also show you how to easily build cloud-connected data-driven apps using React Native, GraphQL, and mobile-optimized AWS services.
Enhance customer experience with Conversational InterfacesAmazon Web Services
AWS API-driven services bring conversational interfaces into any application. Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build speech-enabled products. Amazon Lex provides the advanced, deep learning functionality of automatic speech recognition (ASR) for converting speech to text, while Alexa for Business makes it easy for you to use Alexa in your organization. It can simplify conference rooms, allowing attendees to start meetings and control the equipment in the room simply by using their voice. Alexa can also assist within the workplace, for example, providing directions to a conference room, notifying IT about a broken printer, or placing an order for office supplies.
Supercell – Scaling Mobile Games (GAM301) - AWS re:Invent 2018Amazon Web Services
In this session, learn how Supercell architected its analytics pipeline on AWS. We dive deep into how Supercell leverages Amazon Elastic Compute Cloud (Amazon EC2), Amazon Kinesis, Amazon Simple Storage Service (Amazon S3), Amazon EMR, and Spark to ingest, process, store, and query petabytes of data. We also dive deep into how Supercell's games are architected to accommodate scaling and failure recovery. We explain how Supercell's teams are organized into small and independent cells and how this affects the technology choices they make to produce value and agility in the development process.
Amazon Cloud Directory Deep Dive (DAT364) - AWS re:Invent 2018Amazon Web Services
Learn how companies like FocusCura and Clouden have on-boarded hierarchical data at scale using Amazon Cloud Directory, a highly available, fully managed, serverless, hierarchical datastore. It’s well-suited for such use cases as human resources applications, course catalogs, device registry, network topology, and any application that needs fine-grained permissions (authorization). We do a deep dive into the internals of Cloud Directory and discuss best practices.
Develop Cross-Platform Mobile Apps with React Native, GraphQL, & AWS (MOB324)...Amazon Web Services
If you want to rapidly release a mobile app, leveraging cross-platform development techniques using a commonly known language is a proven strategy. In this session, we introduce React Native, a cross-platform JavaScript framework for building native iOS and Android apps. We also show you how to easily build cloud-connected data-driven apps using React Native, GraphQL, and mobile-optimized AWS services.
Enhance customer experience with Conversational InterfacesAmazon Web Services
AWS API-driven services bring conversational interfaces into any application. Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build speech-enabled products. Amazon Lex provides the advanced, deep learning functionality of automatic speech recognition (ASR) for converting speech to text, while Alexa for Business makes it easy for you to use Alexa in your organization. It can simplify conference rooms, allowing attendees to start meetings and control the equipment in the room simply by using their voice. Alexa can also assist within the workplace, for example, providing directions to a conference room, notifying IT about a broken printer, or placing an order for office supplies.
Modern data is massive, quickly evolving, unstructured, and increasingly hard to catalog and understand from multiple consumers and applications. This presentation will guide you though the best practices for designing a robust data architecture, highlightning the benefits and typical challenges of data lakes and data warehouses. We will build a scalable solution based on managed services such as Amazon Athena, AWS Glue, and AWS Lake Formation.
What's New in AR & VR: State of the World Report (ARV203) - AWS re:Invent 2018Amazon Web Services
In this session, Amazon Sumerian leaders provide an overview of the evolution of the augmented reality/virtual reality (AR/VR) industry. They discuss what has changed since Sumerian was announced at re:invent 2017. They also talk about key market trends, and they highlight areas with the highest adoption and potential. This is an immersive session, with examples and demonstrations of immersive experiences created using Amazon Sumerian.
Training your engineers and developers the right way can increase the pace of adoption, cloud migration, and the delivery of business benefits. In this session, we discuss proven steps for training your technical teams so that you can use the AWS Cloud securely, efficiently, and effectively. We also review structural mechanisms to help scale your organization’s capacity to operate a cloud-based IT environment.
CI/CD for Your Machine Learning Pipeline with Amazon SageMaker (DVC303) - AWS...Amazon Web Services
Amazon SageMaker is a powerful tool that enables us to build, train, and deploy at scale our machine learning-based workloads. With help from AWS CI/CD tools, we can speed up this pipeline process. In this talk, we discuss how to integrate Amazon SageMaker into a CI/CD pipeline as well as how to orchestrate with other serverless components.
This session is part of re:Invent Developer Community Day, a series led by AWS enthusiasts who share first-hand, technical insights on trending topics.
Leadership Session: Using AWS End User Computing Services for Your Modern Wor...Amazon Web Services
Tens of thousands of customers are moving their desktops and application infrastructure to the cloud to help IT be more efficient and help their employees be more productive. Join us to hear from AWS leaders and customers alike to learn about end user computing services from AWS. Get insights into how you can use these services. We discuss the most recent announcements from Amazon WorkSpaces and Amazon AppStream, and we explain how you can use AWS capabilities to deliver end user computing solutions for your organization.
Streaming data ingestion and near real-time analysis gives you immediate insights into your data. By using AWS Lambda with Amazon Kinesis, you can obtain these insights without the need to manage servers. But are you doing this in the most optimal way? In this interactive session, we review the best practices for using Lambda with Kinesis, and how to avoid common pitfalls.
Training your engineers and developers the right way can increase the pace of adoption, cloud migration, and the delivery of business benefits. In this session, we discuss proven steps for training your technical teams so you can use the AWS Cloud securely, efficiently, and effectively. We also review structural mechanisms to help scale your organization's capacity to operate a cloud-based IT environment.
[NEW LAUNCH!] How to build and deploy Windows file system in AWS using Amazon...Amazon Web Services
If you have compute-intensive workloads like high performance computing, machine learning, and media processing then this is the workshop for you! Our new file storage service, Amazon FSx for Lustre, provides compute-optimized storage with fully managed Lustre file systems that can deliver hundreds of gigabytes of throughput and sub-millisecond latencies. You will learn how to spin up an FSx for Lustre file system in minutes, feed data to it from an S3 data lake, run analyses while writing results back to S3, and then spin down the file system once the workload is finished.
Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Come learn more.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
0x32 Shades of #7f7f7f: The Tension Between Absolutes and Ambiguity in Securi...Amazon Web Services
Security is an optimization problem. A security team's goal is to enable the delivery of maximum business value at minimum risk and at minimum cost. Over investment in security is inefficient and slows the business down. Under investment in security can lead to expensive breaches and slows the business down. Striking the right balance requires careful risk management decisions and judgement calls. There are rarely absolutes when dealing with security, yet we've found a few situations where it's useful to apply absolutes to a field filled with shades of grey. Join this session to learn what they are.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
Industrialize Machine Learning Using CI/CD Techniques (FSV304-i) - AWS re:Inv...Amazon Web Services
As financial institutions look to accelerate and scale their use of machine learning, they need to address questions related to specific results, such as the version of the code and the data that lead to a particular inference. The use of disparate and increasingly non-traditional data sources for activities such as targeted marketing, fraud detection, and improved returns is driving a need for structured development of machine learning models. In this session, we’ll discuss how we can use a combination of AWS services including Amazon SageMaker, AWS CodeCommit, AWS CodeBuild, and AWS CodePipeline to create a workflow that will help financial institutions meet their requirements and drive business results.
With Alexa for Business, you can deploy and manage Alexa devices in your organization. Join us in this session to learn how you can set up an Alexa-enabled conference room and integrate Alexa with your existing equipment. Learn to build Alexa skills, and voice-enable applications such as SalesForce, ServiceNow and Trello. Discover how to build private skills for your organization and deploy them to Alexa devices and users in your workplace. Come and experience Alexa for Business in action, and get some great ideas for transforming your business.
Leadership Session: Developing Mobile & Web Apps on AWS (MOB202-L) - AWS re:I...Amazon Web Services
Do you wonder what AWS thinks about mobile development? In this session, learn the very latest about the many AWS services that web and mobile developers can leverage to make cloud-enabled development possible, and hear what might be in store for the future.
[REPEAT] Microsoft Active Directory Deep Dive (WIN303-R) - AWS re:Invent 2018Amazon Web Services
Want to learn about your options for running Microsoft Active Directory on AWS? When you move Microsoft workloads to AWS, it is important to consider how to deploy Microsoft Active Directory in support of group policy management, authentication, and authorization. In this session, we discuss options for deploying Microsoft Active Directory to AWS, including AWS Managed Microsoft AD and deploying Active Directory to Windows on Amazon EC2. We cover such topics as how to integrate your on-premises Microsoft Active Directory environment to the cloud and how to leverage SaaS applications, such as Office 365, with the AWS Single Sign-On service.
Database Migration Using AWS DMS and AWS SCT (GPSCT307) - AWS re:Invent 2018Amazon Web Services
Database migrations are an important step in any journey to AWS. In this session, we show you how to get started with AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) to quickly and securely migrate your databases to AWS. Learn how to simplify your database migrations by using this service to migrate your data to and from commercial and open-source databases. We also explain how you can perform homogenous migrations such as MySQL to MySQL, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora.
Modern data is massive, quickly evolving, unstructured, and increasingly hard to catalog and understand from multiple consumers and applications. This presentation will guide you though the best practices for designing a robust data architecture, highlightning the benefits and typical challenges of data lakes and data warehouses. We will build a scalable solution based on managed services such as Amazon Athena, AWS Glue, and AWS Lake Formation.
What's New in AR & VR: State of the World Report (ARV203) - AWS re:Invent 2018Amazon Web Services
In this session, Amazon Sumerian leaders provide an overview of the evolution of the augmented reality/virtual reality (AR/VR) industry. They discuss what has changed since Sumerian was announced at re:invent 2017. They also talk about key market trends, and they highlight areas with the highest adoption and potential. This is an immersive session, with examples and demonstrations of immersive experiences created using Amazon Sumerian.
Training your engineers and developers the right way can increase the pace of adoption, cloud migration, and the delivery of business benefits. In this session, we discuss proven steps for training your technical teams so that you can use the AWS Cloud securely, efficiently, and effectively. We also review structural mechanisms to help scale your organization’s capacity to operate a cloud-based IT environment.
CI/CD for Your Machine Learning Pipeline with Amazon SageMaker (DVC303) - AWS...Amazon Web Services
Amazon SageMaker is a powerful tool that enables us to build, train, and deploy at scale our machine learning-based workloads. With help from AWS CI/CD tools, we can speed up this pipeline process. In this talk, we discuss how to integrate Amazon SageMaker into a CI/CD pipeline as well as how to orchestrate with other serverless components.
This session is part of re:Invent Developer Community Day, a series led by AWS enthusiasts who share first-hand, technical insights on trending topics.
Leadership Session: Using AWS End User Computing Services for Your Modern Wor...Amazon Web Services
Tens of thousands of customers are moving their desktops and application infrastructure to the cloud to help IT be more efficient and help their employees be more productive. Join us to hear from AWS leaders and customers alike to learn about end user computing services from AWS. Get insights into how you can use these services. We discuss the most recent announcements from Amazon WorkSpaces and Amazon AppStream, and we explain how you can use AWS capabilities to deliver end user computing solutions for your organization.
Streaming data ingestion and near real-time analysis gives you immediate insights into your data. By using AWS Lambda with Amazon Kinesis, you can obtain these insights without the need to manage servers. But are you doing this in the most optimal way? In this interactive session, we review the best practices for using Lambda with Kinesis, and how to avoid common pitfalls.
Training your engineers and developers the right way can increase the pace of adoption, cloud migration, and the delivery of business benefits. In this session, we discuss proven steps for training your technical teams so you can use the AWS Cloud securely, efficiently, and effectively. We also review structural mechanisms to help scale your organization's capacity to operate a cloud-based IT environment.
[NEW LAUNCH!] How to build and deploy Windows file system in AWS using Amazon...Amazon Web Services
If you have compute-intensive workloads like high performance computing, machine learning, and media processing then this is the workshop for you! Our new file storage service, Amazon FSx for Lustre, provides compute-optimized storage with fully managed Lustre file systems that can deliver hundreds of gigabytes of throughput and sub-millisecond latencies. You will learn how to spin up an FSx for Lustre file system in minutes, feed data to it from an S3 data lake, run analyses while writing results back to S3, and then spin down the file system once the workload is finished.
Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Come learn more.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
0x32 Shades of #7f7f7f: The Tension Between Absolutes and Ambiguity in Securi...Amazon Web Services
Security is an optimization problem. A security team's goal is to enable the delivery of maximum business value at minimum risk and at minimum cost. Over investment in security is inefficient and slows the business down. Under investment in security can lead to expensive breaches and slows the business down. Striking the right balance requires careful risk management decisions and judgement calls. There are rarely absolutes when dealing with security, yet we've found a few situations where it's useful to apply absolutes to a field filled with shades of grey. Join this session to learn what they are.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
Industrialize Machine Learning Using CI/CD Techniques (FSV304-i) - AWS re:Inv...Amazon Web Services
As financial institutions look to accelerate and scale their use of machine learning, they need to address questions related to specific results, such as the version of the code and the data that lead to a particular inference. The use of disparate and increasingly non-traditional data sources for activities such as targeted marketing, fraud detection, and improved returns is driving a need for structured development of machine learning models. In this session, we’ll discuss how we can use a combination of AWS services including Amazon SageMaker, AWS CodeCommit, AWS CodeBuild, and AWS CodePipeline to create a workflow that will help financial institutions meet their requirements and drive business results.
With Alexa for Business, you can deploy and manage Alexa devices in your organization. Join us in this session to learn how you can set up an Alexa-enabled conference room and integrate Alexa with your existing equipment. Learn to build Alexa skills, and voice-enable applications such as SalesForce, ServiceNow and Trello. Discover how to build private skills for your organization and deploy them to Alexa devices and users in your workplace. Come and experience Alexa for Business in action, and get some great ideas for transforming your business.
Leadership Session: Developing Mobile & Web Apps on AWS (MOB202-L) - AWS re:I...Amazon Web Services
Do you wonder what AWS thinks about mobile development? In this session, learn the very latest about the many AWS services that web and mobile developers can leverage to make cloud-enabled development possible, and hear what might be in store for the future.
[REPEAT] Microsoft Active Directory Deep Dive (WIN303-R) - AWS re:Invent 2018Amazon Web Services
Want to learn about your options for running Microsoft Active Directory on AWS? When you move Microsoft workloads to AWS, it is important to consider how to deploy Microsoft Active Directory in support of group policy management, authentication, and authorization. In this session, we discuss options for deploying Microsoft Active Directory to AWS, including AWS Managed Microsoft AD and deploying Active Directory to Windows on Amazon EC2. We cover such topics as how to integrate your on-premises Microsoft Active Directory environment to the cloud and how to leverage SaaS applications, such as Office 365, with the AWS Single Sign-On service.
Database Migration Using AWS DMS and AWS SCT (GPSCT307) - AWS re:Invent 2018Amazon Web Services
Database migrations are an important step in any journey to AWS. In this session, we show you how to get started with AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) to quickly and securely migrate your databases to AWS. Learn how to simplify your database migrations by using this service to migrate your data to and from commercial and open-source databases. We also explain how you can perform homogenous migrations such as MySQL to MySQL, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora.
This webinar is to discuss how AWS Database Migration Service helps you migrate local database to the AWS Cloud environment, quickly and securely, and make sure the source database remains fully operational during the migration, minimizing downtime to applications that reply on the database. You will also learn how to lay down the plan for database migration for your company.
This is a level 200 webinar that covers introduction to AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT), tips to swiftly migrate existing databases to cloud, best practices of database management on cloud plus a number of successful use cases.
Vanguard's Journey with Tableau to the AWS Cloud (FSV307-S) - AWS re:Invent 2018Amazon Web Services
With over $5 trillion in assets under management, Vanguard requires a secure, flexible, and fast data and analytics platform. By deploying Tableau on AWS, Vanguard was able to move from their private cloud to the AWS Cloud, and significantly reduce the administrative workload of Vanguard's IT team, allowing them to focus on innovating. In this session, learn how mission-critical processes such as configuring deployments, adding nodes, and creating backups are automated via scripts. Expect to leave with a clear picture of how a global deployment of Tableau on AWS supports peak surges and avoids the sunk costs of on-premises hardware. This session is brought to you by AWS partner, Tableau Software.
Hands-On: Building a Migration Strategy for SQL Server on AWS (WIN310) - AWS ...Amazon Web Services
In this workshop, we discuss how to migrate SQL Server databases to AWS. Following a short presentation, attendees have the opportunity to choose a hands-on walkthrough to migrate a SQL Server database from an on-premises environment to SQL Server on Amazon EC2 or SQL Server on Amazon RDS. Bring a laptop for the hands-on exercises.
Migrare a AWS per ridurre il debito tecnico e focalizzarsi sull'innovazioneAmazon Web Services
AWS Summit Milano 2018
Migrare a AWS per ridurre il debito tecnico e focalizzarsi sull'innovazione
Speaker: Antonio Aga Rossi, Global Solutions Architect AWS
DAT317_Migrating Databases and Data Warehouses to the CloudAmazon Web Services
In this introductory session, we look at how to convert and migrate your commercial databases and data warehouses to the cloud and gain your database freedom. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases. These include Oracle and SQL Server to Amazon Aurora, Teradata and Netezza to Amazon Redshift, MongoDB to Amazon DynamoDB, and many other data source and target combinations. Learn how to easily and securely migrate your data and procedural code, enjoy flexibility and cost savings, and gain new opportunities.
Hands-On Building and Deploying .NET Applications on AWS (DEV331-R1) - AWS re...Amazon Web Services
In this workshop, we discuss several approaches to building and deploying .NET applications on AWS. After a short presentation, attendees have the opportunity to choose a hands-on walkthrough to either rehost, replatform, or re-architect a .NET application on AWS. Please bring a laptop for the hands-on exercises.
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Atlanta ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases all over the world. This includes homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB, and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
Designing a Migration Strategy for Your SQL Server Infrastructure (WIN322) - ...Amazon Web Services
Do you have questions about your SQL Server migration that need answers? In this chalk talk, we lay out the fundamental choices for migrating SQL Server databases to AWS, and we answer all of your questions about how to approach and execute your migration. This is an interactive question-and-answer session, so please bring your questions and join us for this discussion.
Under the Hood: How Amazon Uses AWS Services for Analytics at a Massive Scale...Amazon Web Services
As Amazon's consumer business continues to grow, so does the volume of data and the number and complexity of the analytics done in support of the business. In this session, we talk about how Amazon.com uses AWS technologies to build a scalable environment for data and analytics. We look at how Amazon is evolving the world of data warehousing with a combination of a data lake and parallel, scalable compute engines, such as Amazon EMR and Amazon Redshift.
Migrating Databases to the Cloud: Introduction to AWS DMS - SRV215 - Toronto ...Amazon Web Services
In this introductory session, we cover how to convert and migrate your relational databases, non-relational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) have been used to migrate tens of thousands of databases across the world. This includes homogeneous migrations, such as PostgreSQL to PostgreSQL, and heterogeneous migrations between different database engines, such as Oracle or SQL Server to Amazon Aurora, Amazon DynamoDB and Amazon Redshift. Learn how to quickly and securely migrate your data and procedural code, enjoy flexibility and cost savings, and minimize the downtime of your applications.
Data Transformation Patterns in AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to accelerate common data transformations from a variety of data
- Learn how to efficiently orchestrate transformation jobs
- Learn best practices and methodologies in data preparation for analytics
Building a Modern Data Warehouse - Deep Dive on Amazon RedshiftAmazon Web Services
Osemeke Isibor, Solutions Architect, AWS
In this session, we take a deep dive on Amazon Redshift architecture and the latest performance enhancements that give you faster insights into your data. We also cover Redshift Spectrum, a feature of Redshift that enables you to analyze data across Redshift and your Amazon S3 data lake to deliver unique insights not possible by analyzing independent data silos.
Database Freedom. Database migration approaches to get to the Cloud - Marcus ...Amazon Web Services
Databases are at the heart of many of the software systems we build. Learn how to achieve the benefits of moving your core datastores to the AWS platform, by designing a migration model that retires tech debt and sets the platform for innovation. In this session we'll cover the different database options available on AWS, how you can start migrating your databases to the cloud, and cover tools like the AWS Database Migration Service (DMS) to largely automate this work for you.
Enabling Your Organization’s Amazon Redshift Adoption – Going from Zero to He...Amazon Web Services
Ever wonder why some companies are able to achieve business goals around Amazon Redshift adoption at breakneck speed? Does figuring out the right architecture for a Amazon Redshift deployment for your organization keep you up at night? Proven patterns and “quickstart” environments are the keys to success. As a stakeholder in your company’s success, you want to bring a clear and concise business solution to the table that fits the business need. In this session, we focus on using infrastructure as code to present a variety of common Amazon Redshift deployment patterns used across other AWS customers so that you can hit the ground running. Additionally, presentations coupled with hands-on labs reinforce the patterns presented in this session.
Migrating Critical Workloads at Scale: Best Practice for SAP Migration - AWS ...Amazon Web Services
Migrating Critical Workloads at Scale: Best Practice for SAP Migration
Understand what best practices to employ when migrating SAP and other critical workloads to AWS at scale from a technical and organisational framework. Listen to one customer's journey on their business drivers, migration approach, challenges, and business outcomes of their SAP migration experience.
Santosh Choudhary, Senior Solution Architect, Amazon Web Services and Cameron Amling, Applications: Enterprise Applications Technical Manager, Seek Limited
Lessons Learned from a Large-Scale Legacy Migration with Sysco (STG311) - AWS...Amazon Web Services
Migrating enterprise applications to the cloud requires thorough planning and consideration for a number of variables. Should you move your application to a similar infrastructure in the cloud (in a lift-and-shift scenario)? Or should you refactor your application to take advantage of cloud-native services for object storage, serverless, auto-scaling, and so on? In this session, an AWS expert walks through the ten commandments that enterprises should follow when moving applications to the cloud and refactoring them for optimal performance. Then, a representative of Sysco Corporation, a Fortune 50 company, shares how the company migrated mission-critical legacy business systems and modernized them to take advantage of the AWS Cloud. Learn how the company moved its enterprise purchasing system, which processes millions of dollars in sales daily, to the AWS Cloud while achieving a 60% decrease in run costs. Also discover the lessons learned and highlights of the migration, which resulted in 30% increase in performance, 3x improvement in user accessibility, and a significant decrease in order backlogs and outages.
by Rich Alberth, Solutions Architect, AWS
Modernizing your database environment can bring many benefits, from avoiding technical debt to reducing expenses. AWS Database Migration Service enables easy modernization, enabling you to easily change database versions (and even database engines) and schema topologies while avoiding downtimes. We’ll look at some models for modernization, then do a hands-on exercise to migrate and consolidate MySQL databases to Amazon Aurora. You’ll need a laptop with a Firefox or Chrome browser.
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.