How AWS can help you unshackle and achieve transformation. Are you operating with old world databases?Discover Database Freedom with AWS
Speakers:
Rajanikanth Bhargava Chilakapati - Solutions Architect, AWS
Chris England - Sr. Technical Account Manager, AWS
Machine learning allows us to build predictive analytics solutions of tomorrow - these solutions allow us to better diagnose and treat patients, correctly recommend interesting books or movies, and even make the self-driving car a reality. Microsoft Azure Machine Learning (Azure ML) is a fully-managed Platform-as-a-Service (PaaS) for building these predictive analytics solutions. It is very easy to build solutions with it, helping to overcome the challenges most businesses have in deploying and using machine learning. In this presentation, we will take a look at how to create ML models with Azure ML Studio and deploy those models to production in minutes.
Module 1: AWS Introduction and History - AWSome Day Online Conference - APACAmazon Web Services
This module will cover cloud computing concepts and AWS global Infrastructure.
• Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console.
• Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).
• Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM).
• Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). • Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor.
Presenters today:
• John Balsillie Senior Technical Trainer, AWS APAC
• Karthik Chandy Senior Technical Trainer, AWS APAC
An Agile Approach to Accelerate Mass Migration | AWS Public Sector Summit 2016Amazon Web Services
The complexities of a cloud transformation program that involves the migration of hundreds or thousands of servers can present a significant challenge to program management and the coordination of IT teams tasked with the success and support of migration. This session outlines a highly collaborative agile approach to accelerate migration activities through automation of the iterative capture, sharing, and documentation of decisions and information, incorporated into a common DevOps solution.
Cloud Cost Management and Apache Spark with Xuan WangDatabricks
The cloud computing market is growing faster than virtually any other IT market today, according to Gartner [1]. Providing a unified analytics platform in public clouds, Databricks invests heavily in cloud computing. As a result, cloud expense becomes an imperative category of our cost of goods sold (COGS) and operating expense (OPEX). Many companies share the same story as ours, embracing the cloud while facing the raising challenge of managing its cost.
In this session, we will share our experience on cloud cost management, from mistakes we made, data garnered, lessons learned, to the solutions we built. We will discuss general principles of managing accounts and services and assigning budget and attributing cost to internal teams. Using AWS as a concrete example, with Databricks and Spark as part of our solution, we will show how we: 1) make AWS cost and usage data available to finance and budget owners, 2) build data products that help budget owners to monitor the cost and take actions by buying reserved instances and setting retention policies, 3) use data science techniques to detect changes and do forecast. The general principles and solutions we built are applicable to other cloud providers too.
Build Data Engineering Platforms with Amazon EMR (ANT204) - AWS re:Invent 2018Amazon Web Services
Amazon EMR provides a flexible range of service customization options, enabling customers to use it as a building block for their data platforms. In this session, AWS customers Salesforce.com and Vanguard discuss in detail how they use Amazon EMR to build a self-service, secure, and auditable data engineering platform. Customers who want to optimize their design and configurations should attend this session to learn best practices from customer experts. Topics include achieving cost-efficient scale, using notebooks, processing streaming data, rapid prototyping of applications and data pipelines, architecting for both transient and persistent clusters, setting up advanced security and authorization controls, and enabling easy self service for users.
How Can I Build a Landing Zone & Extend my Operations into AWS to Support my ...Amazon Web Services
AWS Landing Zone accelerates customer adoption of the cloud by providing a prescriptive set of instructions for deploying an AWS-recommended foundation of interrelated AWS accounts, networks, and core services. AWS Landing Zone provides prescriptive guidance and best practice templates that a customer can deploy into their initial AWS environment with confidence that it will grow to meet future business needs including security and regulatory compliance requirements. Learn More: https://aws.amazon.com/government-education/
Machine learning allows us to build predictive analytics solutions of tomorrow - these solutions allow us to better diagnose and treat patients, correctly recommend interesting books or movies, and even make the self-driving car a reality. Microsoft Azure Machine Learning (Azure ML) is a fully-managed Platform-as-a-Service (PaaS) for building these predictive analytics solutions. It is very easy to build solutions with it, helping to overcome the challenges most businesses have in deploying and using machine learning. In this presentation, we will take a look at how to create ML models with Azure ML Studio and deploy those models to production in minutes.
Module 1: AWS Introduction and History - AWSome Day Online Conference - APACAmazon Web Services
This module will cover cloud computing concepts and AWS global Infrastructure.
• Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console.
• Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).
• Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM).
• Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). • Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor.
Presenters today:
• John Balsillie Senior Technical Trainer, AWS APAC
• Karthik Chandy Senior Technical Trainer, AWS APAC
An Agile Approach to Accelerate Mass Migration | AWS Public Sector Summit 2016Amazon Web Services
The complexities of a cloud transformation program that involves the migration of hundreds or thousands of servers can present a significant challenge to program management and the coordination of IT teams tasked with the success and support of migration. This session outlines a highly collaborative agile approach to accelerate migration activities through automation of the iterative capture, sharing, and documentation of decisions and information, incorporated into a common DevOps solution.
Cloud Cost Management and Apache Spark with Xuan WangDatabricks
The cloud computing market is growing faster than virtually any other IT market today, according to Gartner [1]. Providing a unified analytics platform in public clouds, Databricks invests heavily in cloud computing. As a result, cloud expense becomes an imperative category of our cost of goods sold (COGS) and operating expense (OPEX). Many companies share the same story as ours, embracing the cloud while facing the raising challenge of managing its cost.
In this session, we will share our experience on cloud cost management, from mistakes we made, data garnered, lessons learned, to the solutions we built. We will discuss general principles of managing accounts and services and assigning budget and attributing cost to internal teams. Using AWS as a concrete example, with Databricks and Spark as part of our solution, we will show how we: 1) make AWS cost and usage data available to finance and budget owners, 2) build data products that help budget owners to monitor the cost and take actions by buying reserved instances and setting retention policies, 3) use data science techniques to detect changes and do forecast. The general principles and solutions we built are applicable to other cloud providers too.
Build Data Engineering Platforms with Amazon EMR (ANT204) - AWS re:Invent 2018Amazon Web Services
Amazon EMR provides a flexible range of service customization options, enabling customers to use it as a building block for their data platforms. In this session, AWS customers Salesforce.com and Vanguard discuss in detail how they use Amazon EMR to build a self-service, secure, and auditable data engineering platform. Customers who want to optimize their design and configurations should attend this session to learn best practices from customer experts. Topics include achieving cost-efficient scale, using notebooks, processing streaming data, rapid prototyping of applications and data pipelines, architecting for both transient and persistent clusters, setting up advanced security and authorization controls, and enabling easy self service for users.
How Can I Build a Landing Zone & Extend my Operations into AWS to Support my ...Amazon Web Services
AWS Landing Zone accelerates customer adoption of the cloud by providing a prescriptive set of instructions for deploying an AWS-recommended foundation of interrelated AWS accounts, networks, and core services. AWS Landing Zone provides prescriptive guidance and best practice templates that a customer can deploy into their initial AWS environment with confidence that it will grow to meet future business needs including security and regulatory compliance requirements. Learn More: https://aws.amazon.com/government-education/
AWS 클라우드는 단순하고 작은 규모의 서비스 초기부터 사용자가 점차 증가되는 과정에 따라 다양하게 선택할 수 있는 서비스 아키텍처를 제공해 드리고 있습니다. 소규모 Amazon SageMaker 도입과 PoC부터 천만 사용자 대상 서비스로 비즈니스가 확장되었을 때 AI/ML 서비스 개발팀이 조직구조, 아키텍처, ML 운영 관리에 어떤 고민이 필요한지 이야기하고, 규모의 변화에 맞는 Amazon SageMaker 활용과 모범 사례 등을 소개합니다.
Data & Analytics ReInvent Recap [AWS Basel Meetup - Jan 2023].pdfChris Bingham
After recapping the key data & analytics announcements from AWS re:Invent 2022, we look a little deeper at three key new services:
• AWS DataZone
• AWS Omics
• AWS Clean Rooms
And follow up with a demo of using AWS IoT ExpressLink hardware in conjunction with AWS IoT Core, Lambda, and Amplify to build a Gatsby web app that interacts with the AWS IoT ExpressLink demo badge via a device shadow.
As Is To Be Assessment Process Business StrategySlideTeam
"You can download this product from SlideTeam.net"
This PPT deck displays seventeen slides with in depth research. Our As Is To Be Assessment Process Business Strategy presentation deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographics for an inclusive and comprehensive As Is To Be Assessment Process Business Strategy presentation. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement. https://bit.ly/37sHXz5
More and more enterprise companies are migrating to the AWS Cloud and there are a number of reasons why. While every organization is going to have their own unique motivations, common drivers include exiting data centers, increasing business agility, improving workforce productivity, gaining transparency in operational costs and reducing risk.
The AWS Migration Acceleration Program (MAP) is designed to help enterprises that are committed to a migration journey achieve a range of these business benefits by migrating existing workloads to Amazon Web Services. In this session, you will learn about proven migration patterns, methods and tools that AWS has delivered successfully to hundreds of enterprise customers globally that will help you accelerate migrations, reduce risk and quickly realize value.
Recommendation is one of the most popular applications in machine learning (ML). In this workshop, we’ll show you how to build a movie recommendation model based on factorization machines — one of the built-in algorithms of Amazon SageMaker — and the popular MovieLens dataset.
Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336) -...Amazon Web Services
Amazon Aurora Serverless is an on-demand, autoscaling configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales up or down capacity based on your application's needs. It enables you to run your database in the cloud without managing any database instances. Aurora Serverless is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. In this session, we explore these use cases, take a look under the hood, and delve into the future of serverless databases. We also hear a case study from a customer building new functionality on top of Aurora Serverless.
Microsoft SQL Server Migration Strategies (WIN302) - AWS re:Invent 2018Amazon Web Services
Migrating SQL Server databases to the cloud is a critical part of a cloud journey and requires planning and architectural considerations. In this session, we cover best practices and guidelines in migrating and/or architecting a hybrid SQL Server architecture on AWS. We compare and contrast various migration methods, including SQL export, backup and restore, and using AWS Database Migration Service (AWS DMS). We also provide guidance on how to migrate products that have approached their end of life, such as SQL Server 2008.
AWS-powered services for analytics can handle the scale, agility, and flexibility required to combine different types of data and analytics approaches that will allow you to transform your data into a valuable corporate asset. In this session, AWS will provide an overview of the different AWS services available for your data analytics needs. You can combine these blocks to build data flows that will extend your organization’s agility, ability to derive more insights and value from its data, and capability to adopt more sophisticated analytics tools and processes as your needs evolve. In the second part of the session, Paddy Power Betfair’s Data team will discuss the adoption and large scale operation of a broad range of AWS services that make up PPB’s scalable, mixed workload, multi-brand data platform. The data capabilities developed by PPB and powered by AWS were implemented to enable low-latency, high-volume and near real-time advanced analytics use cases, in the highly regulated and fast-paced betting industry. This was only possible through a focus on automation, innovation and continuous improvement.
Introduction to Amazon Web Services - How to Scale your Next Idea on AWS : A ...Amazon Web Services
Building powerful web applications in the AWS Cloud : A Love Story, Design patterns in web-based cloud architecture, Jinesh Varia gave this talk at Cloud Connect and several other places
http://aws.typepad.com/aws/2011/03/building-powerful-web-applications-in-the-aws-cloud-a-love-story.html
SAP on AWS 사례로 알아보는 핵심 업무 이전 : SAP Competency 파트너사의 경험과 비젼 - 이상규 솔루션즈 아키텍트, A...Amazon Web Services Korea
SAP on AWS 사례로 알아보는 핵심 업무 이전 : SAP Competency 파트너사의 경험과 비젼
이상규 솔루션즈 아키텍트, AWS
김지호 팀장, 웅진
조영준 상무, BSG
SAP 솔루션을 AWS 위에 구축하고 있는 것이 왜 새로운 표준으로 자리 잡아 가고 있는지를 국내외의 사례를 통해 설명드릴 예정입니다. 온프레미스 기반 위에서 SAP SI 비즈니스를 하셨던 BSG 와 웅진 두 파트너사가 SAP on AWS 비즈니스를 새로 시작하면서 현장에서 경험 했던 변화와 새로운 밸류를 실제 고객 사례를 통해 직접 소개 드릴 예정입니다. 또한 AWS의 Data Lake과 AI서비스를 이용하여 어떻게 SAP 프로세스를 혁신할 수 있는지를 소개해 드리겠습니다.
Complete No code solution to Machine Learning using Azure ML Studio. The aim of this presentation is to discuss the capability of Azure ML Studio in enabling any novice to perform ML experiments.
Using AWS Well Architectured Framework for Software Architecture Evaluations ...Alexandr Savchenko
Event Lint: https://pages.awscloud.com/EMEA-field-OE-AWS-Cloud-Week-2020-reg-event.html
When you start thinking about innovations and prepare evaluations plan for AWS architecture, first of all you want to define answers to a lot of questions such as: “What methods should I use (interviews or automation tools)?”, “What questions should I ask and what categories should they cover?”, “Can I use some automation tools to define correct receipts?”, “What best practices should I recommend after evaluation and what will be the best way to implement these improvements?”.
AWS Well-Architecture Framework has answers to all of these questions and can help you to evaluate, build or improve your infrastructure and software architecture. It's a very important tool that will be useful in different phases of SDLC and you can use this on a regular basis.
This speech will expose principles of architecture evaluation using AWS WAF, show structure of framework, general design principles and common categories, materials which will help you learn this framework and AWS architecture more deeply.
Slides: Success Stories for Data-to-CloudDATAVERSITY
Companies are finding accessing data from a variety of sources can be labor-intensive and costly. Oftentimes these companies are looking to cloud solutions, but are then finding the traditional architecture brittle when trying to move data to the cloud, which can drain organizations of time and resources.
Join this webinar to hear several company success stories, the data-to-cloud issues they were encountering, and the steps these companies took to bring their cloud architecture to a successful, real-time analytic solution unlocking massive amounts of fresh enterprise-wide on a continuous basis.
In addition, you will learn how to:
• Modernize the ETL process to one that’s fast, flexible, and scalable
• Supply users with up-to-date, accurate, trusted data
• Increase your time to value with data in the cloud
• Best practices on how to minimize resource overhead
This session is continuation of “Automated Production Ready ML at Scale” in last Spark AI Summit at Europe. In this session you will learn about how H&M evolves reference architecture covering entire MLOps stack addressing a few common challenges in AI and Machine learning product, like development efficiency, end to end traceability, speed to production, etc.
발표영상 다시보기: https://youtu.be/-45noG3dQqo
데이터의 중요성은 더이상 반복할 필요가 없이 모두가 알고 있습니다. 비지니스에서 데이터를 활용하여 혁신하고 성장하는 사례는 전세계 모든 산업에서 확인 할 수 있습니다. AWS에서는 가장 빠르고 쉽게 데이터를 수집하고 분석할 수 있는 Data Lake 아키텍쳐를 가이드하고 직접 고객이 쉽게 빌드 할수 있도록 도와드립니다. 고객이 데이터에 대한 호기심만 가지고 있다면, AWS는 데이터를 통해 원하는 정형/비정형 데이터 분석, Data Warehouse, Machine Learning, Data Science 와 같은 거의 모든 방법을 제공합니다.
Learn how you can point Amazon QuickSight to AWS data stores, flat files, or other third-party data sources and begin visualizing your data in minutes.
Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...Amazon Web Services
Data lakes are transforming the way enterprises store, analyze, and learn insights from their data. While data lakes are a relatively new concept, many enterprises have already generated significant business value from the insights gleaned. In this session, AWS experts and technology leaders from Sysco, a Fortune 50 company and leader in food distribution and marketing, explain why Sysco decided to evolve its data management capabilities to include data lakes and how they customized them to support diverse querying capabilities and data science use cases. They also discuss how to architect different aspects of a data lake—ingestion from disparate sources, data consumption, and usability layers—and how to track data ingestion and consumption, monitor associated costs, enforce wanted levels of user access, manage data file formats, synchronize production and non-production environments, and maintain data integrity. Services to be discussed include Amazon S3 and S3 Select, Amazon Athena, Amazon EMR, Amazon EC2, and Amazon Redshift Spectrum.
Amazon Kinesis provides services for you to work with streaming data on AWS. Learn how to load streaming data continuously and cost-effectively to Amazon S3 and Amazon Redshift using Amazon Kinesis Firehose without writing custom stream processing code. Get an introduction to building custom stream processing applications with Amazon Kinesis Streams for specialized needs.
Database Week at the San Francisco Loft
What is Database Freedom?
How AWS can help you unshackle and achieve transformation. Are you operating with old world databases?Discover Database Freedom with AWS.
Speaker: Ben Willett - Solutions Architect, AWS
Database Week at the San Francisco Loft: Database Freedom
How AWS can help you unshackle and achieve transformation. Are you operating with old world databases? Discover Database Freedom with AWS.
Speaker: Ramya Kaushik - Database Engineer, DMS/SCT, AWS
AWS 클라우드는 단순하고 작은 규모의 서비스 초기부터 사용자가 점차 증가되는 과정에 따라 다양하게 선택할 수 있는 서비스 아키텍처를 제공해 드리고 있습니다. 소규모 Amazon SageMaker 도입과 PoC부터 천만 사용자 대상 서비스로 비즈니스가 확장되었을 때 AI/ML 서비스 개발팀이 조직구조, 아키텍처, ML 운영 관리에 어떤 고민이 필요한지 이야기하고, 규모의 변화에 맞는 Amazon SageMaker 활용과 모범 사례 등을 소개합니다.
Data & Analytics ReInvent Recap [AWS Basel Meetup - Jan 2023].pdfChris Bingham
After recapping the key data & analytics announcements from AWS re:Invent 2022, we look a little deeper at three key new services:
• AWS DataZone
• AWS Omics
• AWS Clean Rooms
And follow up with a demo of using AWS IoT ExpressLink hardware in conjunction with AWS IoT Core, Lambda, and Amplify to build a Gatsby web app that interacts with the AWS IoT ExpressLink demo badge via a device shadow.
As Is To Be Assessment Process Business StrategySlideTeam
"You can download this product from SlideTeam.net"
This PPT deck displays seventeen slides with in depth research. Our As Is To Be Assessment Process Business Strategy presentation deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographics for an inclusive and comprehensive As Is To Be Assessment Process Business Strategy presentation. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement. https://bit.ly/37sHXz5
More and more enterprise companies are migrating to the AWS Cloud and there are a number of reasons why. While every organization is going to have their own unique motivations, common drivers include exiting data centers, increasing business agility, improving workforce productivity, gaining transparency in operational costs and reducing risk.
The AWS Migration Acceleration Program (MAP) is designed to help enterprises that are committed to a migration journey achieve a range of these business benefits by migrating existing workloads to Amazon Web Services. In this session, you will learn about proven migration patterns, methods and tools that AWS has delivered successfully to hundreds of enterprise customers globally that will help you accelerate migrations, reduce risk and quickly realize value.
Recommendation is one of the most popular applications in machine learning (ML). In this workshop, we’ll show you how to build a movie recommendation model based on factorization machines — one of the built-in algorithms of Amazon SageMaker — and the popular MovieLens dataset.
Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336) -...Amazon Web Services
Amazon Aurora Serverless is an on-demand, autoscaling configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales up or down capacity based on your application's needs. It enables you to run your database in the cloud without managing any database instances. Aurora Serverless is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. In this session, we explore these use cases, take a look under the hood, and delve into the future of serverless databases. We also hear a case study from a customer building new functionality on top of Aurora Serverless.
Microsoft SQL Server Migration Strategies (WIN302) - AWS re:Invent 2018Amazon Web Services
Migrating SQL Server databases to the cloud is a critical part of a cloud journey and requires planning and architectural considerations. In this session, we cover best practices and guidelines in migrating and/or architecting a hybrid SQL Server architecture on AWS. We compare and contrast various migration methods, including SQL export, backup and restore, and using AWS Database Migration Service (AWS DMS). We also provide guidance on how to migrate products that have approached their end of life, such as SQL Server 2008.
AWS-powered services for analytics can handle the scale, agility, and flexibility required to combine different types of data and analytics approaches that will allow you to transform your data into a valuable corporate asset. In this session, AWS will provide an overview of the different AWS services available for your data analytics needs. You can combine these blocks to build data flows that will extend your organization’s agility, ability to derive more insights and value from its data, and capability to adopt more sophisticated analytics tools and processes as your needs evolve. In the second part of the session, Paddy Power Betfair’s Data team will discuss the adoption and large scale operation of a broad range of AWS services that make up PPB’s scalable, mixed workload, multi-brand data platform. The data capabilities developed by PPB and powered by AWS were implemented to enable low-latency, high-volume and near real-time advanced analytics use cases, in the highly regulated and fast-paced betting industry. This was only possible through a focus on automation, innovation and continuous improvement.
Introduction to Amazon Web Services - How to Scale your Next Idea on AWS : A ...Amazon Web Services
Building powerful web applications in the AWS Cloud : A Love Story, Design patterns in web-based cloud architecture, Jinesh Varia gave this talk at Cloud Connect and several other places
http://aws.typepad.com/aws/2011/03/building-powerful-web-applications-in-the-aws-cloud-a-love-story.html
SAP on AWS 사례로 알아보는 핵심 업무 이전 : SAP Competency 파트너사의 경험과 비젼 - 이상규 솔루션즈 아키텍트, A...Amazon Web Services Korea
SAP on AWS 사례로 알아보는 핵심 업무 이전 : SAP Competency 파트너사의 경험과 비젼
이상규 솔루션즈 아키텍트, AWS
김지호 팀장, 웅진
조영준 상무, BSG
SAP 솔루션을 AWS 위에 구축하고 있는 것이 왜 새로운 표준으로 자리 잡아 가고 있는지를 국내외의 사례를 통해 설명드릴 예정입니다. 온프레미스 기반 위에서 SAP SI 비즈니스를 하셨던 BSG 와 웅진 두 파트너사가 SAP on AWS 비즈니스를 새로 시작하면서 현장에서 경험 했던 변화와 새로운 밸류를 실제 고객 사례를 통해 직접 소개 드릴 예정입니다. 또한 AWS의 Data Lake과 AI서비스를 이용하여 어떻게 SAP 프로세스를 혁신할 수 있는지를 소개해 드리겠습니다.
Complete No code solution to Machine Learning using Azure ML Studio. The aim of this presentation is to discuss the capability of Azure ML Studio in enabling any novice to perform ML experiments.
Using AWS Well Architectured Framework for Software Architecture Evaluations ...Alexandr Savchenko
Event Lint: https://pages.awscloud.com/EMEA-field-OE-AWS-Cloud-Week-2020-reg-event.html
When you start thinking about innovations and prepare evaluations plan for AWS architecture, first of all you want to define answers to a lot of questions such as: “What methods should I use (interviews or automation tools)?”, “What questions should I ask and what categories should they cover?”, “Can I use some automation tools to define correct receipts?”, “What best practices should I recommend after evaluation and what will be the best way to implement these improvements?”.
AWS Well-Architecture Framework has answers to all of these questions and can help you to evaluate, build or improve your infrastructure and software architecture. It's a very important tool that will be useful in different phases of SDLC and you can use this on a regular basis.
This speech will expose principles of architecture evaluation using AWS WAF, show structure of framework, general design principles and common categories, materials which will help you learn this framework and AWS architecture more deeply.
Slides: Success Stories for Data-to-CloudDATAVERSITY
Companies are finding accessing data from a variety of sources can be labor-intensive and costly. Oftentimes these companies are looking to cloud solutions, but are then finding the traditional architecture brittle when trying to move data to the cloud, which can drain organizations of time and resources.
Join this webinar to hear several company success stories, the data-to-cloud issues they were encountering, and the steps these companies took to bring their cloud architecture to a successful, real-time analytic solution unlocking massive amounts of fresh enterprise-wide on a continuous basis.
In addition, you will learn how to:
• Modernize the ETL process to one that’s fast, flexible, and scalable
• Supply users with up-to-date, accurate, trusted data
• Increase your time to value with data in the cloud
• Best practices on how to minimize resource overhead
This session is continuation of “Automated Production Ready ML at Scale” in last Spark AI Summit at Europe. In this session you will learn about how H&M evolves reference architecture covering entire MLOps stack addressing a few common challenges in AI and Machine learning product, like development efficiency, end to end traceability, speed to production, etc.
발표영상 다시보기: https://youtu.be/-45noG3dQqo
데이터의 중요성은 더이상 반복할 필요가 없이 모두가 알고 있습니다. 비지니스에서 데이터를 활용하여 혁신하고 성장하는 사례는 전세계 모든 산업에서 확인 할 수 있습니다. AWS에서는 가장 빠르고 쉽게 데이터를 수집하고 분석할 수 있는 Data Lake 아키텍쳐를 가이드하고 직접 고객이 쉽게 빌드 할수 있도록 도와드립니다. 고객이 데이터에 대한 호기심만 가지고 있다면, AWS는 데이터를 통해 원하는 정형/비정형 데이터 분석, Data Warehouse, Machine Learning, Data Science 와 같은 거의 모든 방법을 제공합니다.
Learn how you can point Amazon QuickSight to AWS data stores, flat files, or other third-party data sources and begin visualizing your data in minutes.
Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...Amazon Web Services
Data lakes are transforming the way enterprises store, analyze, and learn insights from their data. While data lakes are a relatively new concept, many enterprises have already generated significant business value from the insights gleaned. In this session, AWS experts and technology leaders from Sysco, a Fortune 50 company and leader in food distribution and marketing, explain why Sysco decided to evolve its data management capabilities to include data lakes and how they customized them to support diverse querying capabilities and data science use cases. They also discuss how to architect different aspects of a data lake—ingestion from disparate sources, data consumption, and usability layers—and how to track data ingestion and consumption, monitor associated costs, enforce wanted levels of user access, manage data file formats, synchronize production and non-production environments, and maintain data integrity. Services to be discussed include Amazon S3 and S3 Select, Amazon Athena, Amazon EMR, Amazon EC2, and Amazon Redshift Spectrum.
Amazon Kinesis provides services for you to work with streaming data on AWS. Learn how to load streaming data continuously and cost-effectively to Amazon S3 and Amazon Redshift using Amazon Kinesis Firehose without writing custom stream processing code. Get an introduction to building custom stream processing applications with Amazon Kinesis Streams for specialized needs.
Database Week at the San Francisco Loft
What is Database Freedom?
How AWS can help you unshackle and achieve transformation. Are you operating with old world databases?Discover Database Freedom with AWS.
Speaker: Ben Willett - Solutions Architect, AWS
Database Week at the San Francisco Loft: Database Freedom
How AWS can help you unshackle and achieve transformation. Are you operating with old world databases? Discover Database Freedom with AWS.
Speaker: Ramya Kaushik - Database Engineer, DMS/SCT, AWS
If you are still running proprietary, highly expensive databases and open to learn about alternatives - this session is aimed for you. In this session we will discuss how AWS helps customers modernizing their databases to get aligned with the modern applications requirements, while achieving operational excellence and cost efficiency.
What’s New in Amazon RDS for Open-Source and Commercial Databases: Amazon Web Services
by Kwesi Edwards, Business Development Manager, AWS
In the past year, Amazon RDS has continued to expand functionality, scalability, availability and ease of use for all supported database engines: PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server. We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines. Level 300
Database Freedom is an AWS initiative that accelerates enterprise migrations from commercial database engines to AWS native database services or managed open-source systems. We review the basics of the Amazon purpose-built database strategy and cover our Workload Qualification Framework, which helps you determine a good database migration candidate and predict the level of effort. In the hands-on lab, you use AWS Schema Conversion Tool and AWS Database Migration Service to migrate your databases to Amazon Aurora PostgreSQL. Bring a laptop with Firefox or Chrome and a working AWS account. We provide an AWS CloudFormation template to configure the lab environment.
This session provides an overview of how organizations can migrate workloads to the AWS cloud at scale. We will go through available migration frameworks and best practices with common use case examples during this session.
Lessons from Migrating Oracle Databases to Amazon RDS or Amazon Aurora Datavail
Learn and leverage database migration best practices from moving off commercial Oracle databases to Amazon RDS or Aurora. We’ll cover common pitfalls, issues, the biggest differences between the engines, migration best practices, and how some of our customers have completed these migrations.
AWS Summit Singapore - Managing a Database Migration Project | Best PracticesAmazon Web Services
Blair Layton, Business Development Manager - Database, APAC, AWS
The AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) help lower costs, risks and the duration of your database migration and data replication projects but, how do you use them to maximum effect? This session will discuss some of the best practices that AWS has learned through our own Professional Services engagements and from customers who have shared their experience.
Is your organization considering migrating an existing data center over to AWS to reduce cost, improve reliability, security, and operational performance of your IT operations? If so, join us for a webinar on how to plan and execute your migration to the cloud from classification of applications, assessing your application needs, identifying the target applications and other various migration strategies.
AWS re:Invent 2016: Relational and NoSQL Databases on AWS: NBC, MarkLogic, an...Amazon Web Services
Learn how the AWS Marketplace brings together customers who have challenges with ISVs who have solutions to those challenges. See how to use relational and NoSQL technologies on AWS to build enterprise and consumer apps. NBC used MarkLogic to deliver an award-winning app that can handle high traffic levels and unexpected usage spikes. NBC’s popular, Emmy-winning, “SNL 40” was launched to celebrate the 40th anniversary of Saturday Night Live, and delivers four decades of sketches and performances. Hosted on AWS, the app — as well as a browser-based platform — are powered by the MarkLogic Enterprise NoSQL database. Come learn from the team who collaborated on this project how to run your own database on AWS, and how to integrate with Amazon RDS and other data stores. A world-recognized automotive brand needed to deliver real-time response about their worldwide fleet vehicles. You will learn how they used a combination of AWS services and FileMaker Cloud, (an Apple subsidiary, procured through AWS Marketplace) to deliver high-scale dealer-facing applications.
AWS Summit Singapore Webinar Edition | Architecting a Serverless Data Lake on...Amazon Web Services
ข้อมูลเชิงลึกของลูกค้าและ Machine Learning (Level 200 -300): การสร้าง Data Lake แบบไร้เซิร์ฟเวอร์บน AWS
ย้ายเลย! ย้ายข้อมูลไปยัง AWS (ระดับ 200): จัดการโครงการย้ายข้อมูล DB ด้วยวิธีที่ดีที่สุด
- Customer Insights and Machine Learning (Level 200 -300) | Architecting a Serverless Data Lake on AWS
- Move It! Migrating to AWS (Level 200) | Managing a DB Migration Project - Best Practices
This session provides an overview of how organizations can migrate workloads to the AWS cloud at scale. We will go through available migration frameworks and best practices with common use case examples during this session. After migrating the initial workloads, understand how to migrate at scale to the AWS cloud. Hear about real life experiences from the AWS Professional Services team and learn about common use case examples, frameworks, and best practices. Hear about what to avoid when migrating applications at scale to AWS and understand the tools and partner services that can assist you when migrating applications to AWS.
ENT305 Migrating Your Databases to AWS: Deep Dive on Amazon Relational Databa...Amazon Web Services
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity, automates time-consuming database administration tasks, and provides you with six familiar database engines to choose from: Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we will take a close look at the capabilities of Amazon RDS and explain how it works. We’ll also discuss the AWS Database Migration Service and AWS Schema Conversion Tool, which help you migrate databases and data warehouses with minimal downtime from on-premises and cloud environments to Amazon RDS and other Amazon services. Gain your freedom from expensive, proprietary databases while providing your applications with the fast performance, scalability, high availability, and compatibility they need.
Enterprise Workloads love running on AWS! In this session come and learn about the ways that enterprises have successfully migrated their critical Microsoft, SAP and Oracle workloads to AWS to improve operational performance.
Speaker:
Danny Jenkins, Solutions Architect, Amazon Web Services
What do companies with internal platforms have to change to succeed in the cloud? The four pillars at the heart of IT solutions in the cloud are reliability, performance efficiency, security, and cost optimization. This talk discusses cloud well-architected patterns and the tools that facilitate the development and automate the DevOps process. The talk also provides concrete examples of serverless architecture and migration adoption.
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.
This session provides an overview of how organizations can migrate workloads to the AWS cloud at scale. We will go through available migration frameworks and best practices with common use case examples during this session. After migrating the initial workloads, understand how to migrate at scale to the AWS cloud. Hear about real life experiences from the AWS Professional Services team and learn about common use case examples, frameworks, and best practices. Hear about what to avoid when migrating applications at scale to AWS and understand the tools and partner services that can assist you when migrating applications to AWS.
Migrate a relational database to Aurora - ADB302 - Atlanta AWS SummitAmazon Web Services
In this hands-on lab, you use AWS Schema Conversion Tool and AWS Database Migration Service to migrate a relational database to Amazon Aurora PostgreSQL. Bring a laptop that has the Firefox or Chrome browser installed and a working AWS account. We provide an AWS CloudFormation template to configure the lab environment and help you walk through the migration process. Please be sure to bring your laptop.
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.