As you look to modernizing your applications, you will need to consider your database options to meet the new application requirements. AWS offers a series of purpose-built databases that include relational, key value, document, graph and cache use cases to help you deliver new and enhanced functionalities. In this webinar session, we share the different modern application architectures, and how to combine different database services to meet your requirements. Understand how to modernize your relational databases through easy upgrades with Amazon Relational Database Service and learn how to migrate from one database to another with AWS Database Migration Service and AWS Schema Conversion Tool.
Speaker:
Blair Layton, Business Development Manager, Amazon Web Services
This session is for anyone interested in understanding the financial costs associated with migrating workloads to AWS. By presenting real cases from AWS Professional Services and directly from a customer, we explore how to measure value, improve the economics of a migration project, and manage migration costs and expectations through large-scale IT transformations. We’ll also look at automation tooling that can further assist and accelerate the migration process.
Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...Amazon Web Services Korea
Amazon EMR은 Apache Spark, Hive, Presto, Trino, HBase 및 Flink와 같은 오픈 소스 프레임워크를 사용하여 분석 애플리케이션을 쉽게 실행할 수 있는 관리형 서비스를 제공합니다. Spark 및 Presto용 Amazon EMR 런타임에는 오픈 소스 Apache Spark 및 Presto에 비해 두 배 이상의 성능 향상을 제공하는 최적화 기능이 포함되어 있습니다. Amazon EMR Serverless는 Amazon EMR의 새로운 배포 옵션이지만 데이터 엔지니어와 분석가는 클라우드에서 페타바이트 규모의 데이터 분석을 쉽고 비용 효율적으로 실행할 수 있습니다. 이 세션에 참여하여 개념, 설계 패턴, 라이브 데모를 사용하여 Amazon EMR/EMR 서버리스를 살펴보고 Spark 및 Hive 워크로드, Amazon EMR 스튜디오 및 Amazon SageMaker Studio와의 Amazon EMR 통합을 실행하는 것이 얼마나 쉬운지 알아보십시오.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, re-sizable capacity for an industry-standard relational database and manages common database administration tasks
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Speakers:
Steve Abraham - Principal Database Specialist Solutions Architect, AWS
Peter Dachnowicz - Sr. Technical Account Manager, AWS
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 while managing time-consuming database administration tasks, freeing you to focus on your applications and business.
This session is for anyone interested in understanding the financial costs associated with migrating workloads to AWS. By presenting real cases from AWS Professional Services and directly from a customer, we explore how to measure value, improve the economics of a migration project, and manage migration costs and expectations through large-scale IT transformations. We’ll also look at automation tooling that can further assist and accelerate the migration process.
Amazon EMR - Enhancements on Cost/Performance, Serverless - 발표자: 김기영, Sr Anal...Amazon Web Services Korea
Amazon EMR은 Apache Spark, Hive, Presto, Trino, HBase 및 Flink와 같은 오픈 소스 프레임워크를 사용하여 분석 애플리케이션을 쉽게 실행할 수 있는 관리형 서비스를 제공합니다. Spark 및 Presto용 Amazon EMR 런타임에는 오픈 소스 Apache Spark 및 Presto에 비해 두 배 이상의 성능 향상을 제공하는 최적화 기능이 포함되어 있습니다. Amazon EMR Serverless는 Amazon EMR의 새로운 배포 옵션이지만 데이터 엔지니어와 분석가는 클라우드에서 페타바이트 규모의 데이터 분석을 쉽고 비용 효율적으로 실행할 수 있습니다. 이 세션에 참여하여 개념, 설계 패턴, 라이브 데모를 사용하여 Amazon EMR/EMR 서버리스를 살펴보고 Spark 및 Hive 워크로드, Amazon EMR 스튜디오 및 Amazon SageMaker Studio와의 Amazon EMR 통합을 실행하는 것이 얼마나 쉬운지 알아보십시오.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We’ll cover how each service might help support your application, how much each service costs, and how to get started.
Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, re-sizable capacity for an industry-standard relational database and manages common database administration tasks
A closer look at the MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. We’ll explore how Aurora uses the AWS cloud to provide high reliability, high durability, and high throughput.
Speakers:
Steve Abraham - Principal Database Specialist Solutions Architect, AWS
Peter Dachnowicz - Sr. Technical Account Manager, AWS
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 while managing time-consuming database administration tasks, freeing you to focus on your applications and business.
Running Microsoft SharePoint On AWS - Smartronix and AWS - WebinarAmazon Web Services
Miles Ward, Solution Architect, AWS
Robert Groat, Chief Technology Officer, Smartronix
discuss how you can run microsoft Enterprise Applications like SharePoint on AWS Cloud, Architecture. Recovery.gov
AWS Cloud Adoption Framework and WorkshopsTom Laszewski
The presentation covers the AWS Cloud Adoption Framework (CAF). AWS CAF helps organization accelerate their cloud adoption journey. The framework includes six perspectives - business, people, governance, security, operations, and platform. These six perspectives are used during CAF Envision, Alignment, and Cloud Capability Assessment workshops to enable the art of the possible, identify and mitigate organizational and technology impediments, and score the cloud capabilities of an organization.
With cloud, you have the flexibility to acquire and use IT resources and services on-demand, which represents a major shift from traditional approaches managing cost. A key first step on your organization’s cloud journey is to establish best practices for cost management in the cloud. AWS' cost optimization techniques help our customers understand cost drivers and effectively manage the cost of running existing application workloads or new ones in the cloud.
Learn the best practices and considerations for cost optimising your AWS environment. We will cover best practices for right sizing, scheduling instances to reduce costs, and finally, how you can save up to 75% on OnDemand costs using reserved instances.
Learn more about the basics of hybrid cloud with VMware Cloud on AWS. Links in slides: http://cloud.vmware.com/govcloud/roadmap
https://cloud.vmware.com/vmc-aws/roadmap
In this full-day workshop, you will learn strategies for planning and migrating existing workloads to the AWS Cloud, including basic knowledge of planning for a migration, Application Discovery Service, AWS Migration Hub, Migration Tools e.g. CloudEndure, how to do data transfer, and last but not least, AWS Database Migration Services. There are altogether 5 modules, each represents a deep dive on the topics suggested. The first half provides an overview of migration planning principles and best practices, and the second part focuses on migration design, tools and implementation, with hands-on labs to reinforce concepts.
AWS for Manufacturing: Digital Transformation throughout the Value Chain (MFG...Amazon Web Services
The digital transformation of the manufacturing industry is underway in all aspects of the value chain, and the cloud is at the center. In this session, learn how global manufacturing companies are realizing the business value of AWS IoT services, HPC, machine learning, data lakes, and other AWS services in design, engineering, and manufacturing to service operations. Aerospace pioneer, Airbus, describes how its Skywise serverless platform uses AWS Lambda, Amazon DynamoDB, Amazon Elasticsearch Service, and other services to provide airlines with predictive maintenance solutions for its fleets. Georgia-Pacific, a leading manufacturer of paper and wood products, discusses the use of an operation’s data lake to predict asset reliability events and optimize manufacturing processes across 150 locations. Finally, global bearing manufacturer, SKF, demonstrates how it uses AWS IoT services to connect smart products with smart factories, providing real-time insights to its global customers worldwide to optimize machine health and reduce costs.
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...Amazon Web Services
Speaker: Romulo Gapuz, Solutions Architect, AWS
Up to 80% of enterprise IT budgets are spent on maintaining existing workloads and keeping the lights on versus focusing on new products and services to better serve customers. Migrating existing workloads to the cloud provide a lever to do that, providing efficiencies and benefits on your existing workloads.
What if you could focus your attention and resources on differentiating your company in the marketplace? What if you could innovate at startup-like speed? And finally, what if you could dramatically reduce the risks inherent in your present infrastructure?
講師: Ivan Cheng, Solution Architect, AWS
Join us for a series of introductory and technical sessions on AWS Big Data solutions. Gain a thorough understanding of what Amazon Web Services offers across the big data lifecycle and learn architectural best practices for applying those solutions to your projects.
We will kick off this technical seminar in the morning with an introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures. In the afternoon, we will deep dive into Machine Learning and Streaming Analytics. We will then walk everyone through building your first Big Data application with AWS.
Amazon Aurora is a MySQL and PostgreSQL compatible relational database built for the cloud, that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. In this session, we explore features of Amazon Aurora and demonstrate database migration using the AWS Database Migration Service.
발표자료 다시보기: https://youtu.be/Uj4Ivi3h-U4
오늘날 엔터프라이즈 기업들은 시장 속도 및 고객 변화에 민감하게 응대하기 위해 더 빠르고 빈번하게 애플리케이션을 개발 및 배포할 수 있는 아키텍처와 개발 조직 및 문화를 요구받고 있습니다. 여러분 회사의 서비스 구조가 변화에 빠르게 대응하지 못하고 있거나 국내외 디지털 전환을 성공적으로 이끈 사례를 알고 싶은 기업 임원, 기술 전략 및 개발 PM 분들께 이 세션을 추천합니다. 본 세션에서는 이러한 현대적 애플리케이션의 요구 사항을 충족하기 위해 모놀리스 아키텍처에서 마이크로서비스로의 분화 방법, 클라우드 기반 컨테이너 및 서버리스 같은 배포 방식을 활용해 빠르게 배포하는 이벤트 중심 시스템을 구축하는 방법에 대해 설명합니다. 이러한 전환을 성공적으로 수행하기 위해 조직 문화 및 운영상의 변화와 대표적인 국내외 사례를 함께 살펴봅니다.
AWS Purpose-Built Database Strategy: The Right Tool for The Right JobAmazon Web Services
Learn why AWS is building a comprehensive database and analytics platform with purpose-built databases designed to solve specific customer problems.
We dive deeper into the operational database services that AWS offers, such as Amazon RDS, Amazon DynamoDB, Amazon ElastiCache, and the new Amazon Neptune graph database. Finally, through a demonstration of Amazon RDS, you get to see how easy it is to use a managed database service.
Bring the VMware Software-Defined Data Center to Amazon Web Services with VMware Cloud. In this webinar we will dive into the compute, network and storage architecture of the VMware Cloud on AWS solution. We will look at real-world, live applications running in VMware Cloud on AWS which integrate with native AWS services such as S3 and Amazon Relational Database Service. We’ll discuss common deployment scenarios including Hybrid Cloud Architectures and Disaster Recovery and explore how the TCO of these implementations differ in VMware Cloud as compared to on-premises implementations.
Cloud Migration: Cloud Readiness Assessment Case StudyCAST
Learn more about Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Review this case study of a CIO migrating applications to Microsoft Azure to see how a cloud readiness assessment help to identify obstacles preventing the organization from moving faster to Azure. Learn how to gain quick visibility through an objective assessment of your core application's cloud readiness, before you plan your cloud migration.
Learn more about Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about IPv4 vs IPv6, types of records, simple routing policy, weighted routing policy, latency routing policy, failover routing policy and geolocation routing policy
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
NoSQL is a term used to describe high-performance, non-relational databases. NoSQL databases use a variety of data models, including document, graph, and key-value. NoSQL databases are recognized for ease of development, scalable performance, high availability, and resilience. With AWS, you can use fully-managed NoSQL database services such as Amazon DynamoDB for all applications that need consistent, single-digit millisecond latency at any scale; Amazon Neptune, a graph database built for the cloud; and Amazon ElastiCache, an in-memory data store service where you can choose Redis or Memcached to power your real-time applications.
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.
Running Microsoft SharePoint On AWS - Smartronix and AWS - WebinarAmazon Web Services
Miles Ward, Solution Architect, AWS
Robert Groat, Chief Technology Officer, Smartronix
discuss how you can run microsoft Enterprise Applications like SharePoint on AWS Cloud, Architecture. Recovery.gov
AWS Cloud Adoption Framework and WorkshopsTom Laszewski
The presentation covers the AWS Cloud Adoption Framework (CAF). AWS CAF helps organization accelerate their cloud adoption journey. The framework includes six perspectives - business, people, governance, security, operations, and platform. These six perspectives are used during CAF Envision, Alignment, and Cloud Capability Assessment workshops to enable the art of the possible, identify and mitigate organizational and technology impediments, and score the cloud capabilities of an organization.
With cloud, you have the flexibility to acquire and use IT resources and services on-demand, which represents a major shift from traditional approaches managing cost. A key first step on your organization’s cloud journey is to establish best practices for cost management in the cloud. AWS' cost optimization techniques help our customers understand cost drivers and effectively manage the cost of running existing application workloads or new ones in the cloud.
Learn the best practices and considerations for cost optimising your AWS environment. We will cover best practices for right sizing, scheduling instances to reduce costs, and finally, how you can save up to 75% on OnDemand costs using reserved instances.
Learn more about the basics of hybrid cloud with VMware Cloud on AWS. Links in slides: http://cloud.vmware.com/govcloud/roadmap
https://cloud.vmware.com/vmc-aws/roadmap
In this full-day workshop, you will learn strategies for planning and migrating existing workloads to the AWS Cloud, including basic knowledge of planning for a migration, Application Discovery Service, AWS Migration Hub, Migration Tools e.g. CloudEndure, how to do data transfer, and last but not least, AWS Database Migration Services. There are altogether 5 modules, each represents a deep dive on the topics suggested. The first half provides an overview of migration planning principles and best practices, and the second part focuses on migration design, tools and implementation, with hands-on labs to reinforce concepts.
AWS for Manufacturing: Digital Transformation throughout the Value Chain (MFG...Amazon Web Services
The digital transformation of the manufacturing industry is underway in all aspects of the value chain, and the cloud is at the center. In this session, learn how global manufacturing companies are realizing the business value of AWS IoT services, HPC, machine learning, data lakes, and other AWS services in design, engineering, and manufacturing to service operations. Aerospace pioneer, Airbus, describes how its Skywise serverless platform uses AWS Lambda, Amazon DynamoDB, Amazon Elasticsearch Service, and other services to provide airlines with predictive maintenance solutions for its fleets. Georgia-Pacific, a leading manufacturer of paper and wood products, discusses the use of an operation’s data lake to predict asset reliability events and optimize manufacturing processes across 150 locations. Finally, global bearing manufacturer, SKF, demonstrates how it uses AWS IoT services to connect smart products with smart factories, providing real-time insights to its global customers worldwide to optimize machine health and reduce costs.
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...Amazon Web Services
Speaker: Romulo Gapuz, Solutions Architect, AWS
Up to 80% of enterprise IT budgets are spent on maintaining existing workloads and keeping the lights on versus focusing on new products and services to better serve customers. Migrating existing workloads to the cloud provide a lever to do that, providing efficiencies and benefits on your existing workloads.
What if you could focus your attention and resources on differentiating your company in the marketplace? What if you could innovate at startup-like speed? And finally, what if you could dramatically reduce the risks inherent in your present infrastructure?
講師: Ivan Cheng, Solution Architect, AWS
Join us for a series of introductory and technical sessions on AWS Big Data solutions. Gain a thorough understanding of what Amazon Web Services offers across the big data lifecycle and learn architectural best practices for applying those solutions to your projects.
We will kick off this technical seminar in the morning with an introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures. In the afternoon, we will deep dive into Machine Learning and Streaming Analytics. We will then walk everyone through building your first Big Data application with AWS.
Amazon Aurora is a MySQL and PostgreSQL compatible relational database built for the cloud, that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. In this session, we explore features of Amazon Aurora and demonstrate database migration using the AWS Database Migration Service.
발표자료 다시보기: https://youtu.be/Uj4Ivi3h-U4
오늘날 엔터프라이즈 기업들은 시장 속도 및 고객 변화에 민감하게 응대하기 위해 더 빠르고 빈번하게 애플리케이션을 개발 및 배포할 수 있는 아키텍처와 개발 조직 및 문화를 요구받고 있습니다. 여러분 회사의 서비스 구조가 변화에 빠르게 대응하지 못하고 있거나 국내외 디지털 전환을 성공적으로 이끈 사례를 알고 싶은 기업 임원, 기술 전략 및 개발 PM 분들께 이 세션을 추천합니다. 본 세션에서는 이러한 현대적 애플리케이션의 요구 사항을 충족하기 위해 모놀리스 아키텍처에서 마이크로서비스로의 분화 방법, 클라우드 기반 컨테이너 및 서버리스 같은 배포 방식을 활용해 빠르게 배포하는 이벤트 중심 시스템을 구축하는 방법에 대해 설명합니다. 이러한 전환을 성공적으로 수행하기 위해 조직 문화 및 운영상의 변화와 대표적인 국내외 사례를 함께 살펴봅니다.
AWS Purpose-Built Database Strategy: The Right Tool for The Right JobAmazon Web Services
Learn why AWS is building a comprehensive database and analytics platform with purpose-built databases designed to solve specific customer problems.
We dive deeper into the operational database services that AWS offers, such as Amazon RDS, Amazon DynamoDB, Amazon ElastiCache, and the new Amazon Neptune graph database. Finally, through a demonstration of Amazon RDS, you get to see how easy it is to use a managed database service.
Bring the VMware Software-Defined Data Center to Amazon Web Services with VMware Cloud. In this webinar we will dive into the compute, network and storage architecture of the VMware Cloud on AWS solution. We will look at real-world, live applications running in VMware Cloud on AWS which integrate with native AWS services such as S3 and Amazon Relational Database Service. We’ll discuss common deployment scenarios including Hybrid Cloud Architectures and Disaster Recovery and explore how the TCO of these implementations differ in VMware Cloud as compared to on-premises implementations.
Cloud Migration: Cloud Readiness Assessment Case StudyCAST
Learn more about Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Review this case study of a CIO migrating applications to Microsoft Azure to see how a cloud readiness assessment help to identify obstacles preventing the organization from moving faster to Azure. Learn how to gain quick visibility through an objective assessment of your core application's cloud readiness, before you plan your cloud migration.
Learn more about Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Training for AWS Solutions Architect at http://zekelabs.com/courses/amazon-web-services-training-bangalore/.This slide describes about IPv4 vs IPv6, types of records, simple routing policy, weighted routing policy, latency routing policy, failover routing policy and geolocation routing policy
___________________________________________________
zekeLabs is a Technology training platform. We provide instructor led corporate training and classroom training on Industry relevant Cutting Edge Technologies like Big Data, Machine Learning, Natural Language Processing, Artificial Intelligence, Data Science, Amazon Web Services, DevOps, Cloud Computing and Frameworks like Django,Spring, Ruby on Rails, Angular 2 and many more to Professionals.
Reach out to us at www.zekelabs.com or call us at +91 8095465880 or drop a mail at info@zekelabs.com
NoSQL is a term used to describe high-performance, non-relational databases. NoSQL databases use a variety of data models, including document, graph, and key-value. NoSQL databases are recognized for ease of development, scalable performance, high availability, and resilience. With AWS, you can use fully-managed NoSQL database services such as Amazon DynamoDB for all applications that need consistent, single-digit millisecond latency at any scale; Amazon Neptune, a graph database built for the cloud; and Amazon ElastiCache, an in-memory data store service where you can choose Redis or Memcached to power your real-time applications.
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.
A growing number of organizations today need to deploy and operate Internet-scale applications, which requires Internet-scale database services. Join us to learn about the broad and deep AWS portfolio of database services, with solutions that provide the scalability, flexibility, resilience, security, and regulatory compliance to help enable you to achieve your mission, no matter how small or how large your needs might be. You’ll learn about how to manage data to meet a wide range of needs – from different data sizes, to varieties of data types, to differing requirements for speed and complexity. In this session you will also learn how you can achieve both cost savings and increase agility through AWS innovation that helps you move beyond legacy commercial databases.
Building with Purpose - Built Databases: Match Your Workloads to the Right Da...Amazon Web Services
In this session, Darin Briskman dives deep into what databases to use for which components of your application. Learn how to evaluate a new workload for the best managed database option based on specific application needs related to data shape, data size at limit, computational requirements, programmability, throughput and latency needs, and more. This session explains the ideal use cases for relational and non-relational database services, including Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache for Redis, Amazon Neptune, and Amazon Redshift.
Darin Briskman, Chief Evangelist, Database, Analytics, & Machine Learning, Amazon Web Services
NetApp Cloud Data Services & AWS Empower Your Cloud ChampionsAmazon Web Services
Agencies have spent years controlling and aligning the appropriate levels of data performance, protection, and security in the data center to support their applications. Now, as they look to the cloud or a hybrid cloud environment, they need to maintain control of their data. Attend this session to discover how NetApp Cloud Data Services, a suite of data-driven services, allows you to migrate and control data across multiple clouds and run critical applications in the cloud.
Learn how you can effectively control your NAS and SAN data on AWS Gov storage resources from a single, centralized management console. Build an enterprise data management service on AWS to ensure your critical applications run with the same capabilities as they do on-premises. Establish an end-to-end disaster recovery plan with high availability instances and efficient replication technologies with NetApp on AWS.
Using data lakes to quench your analytics fire - AWS Summit Cape Town 2018Amazon Web Services
Speaker: Shafreen Sayyed, AWS
Level: 200
Traditional data storage and analytic tools no longer provide the agility and flexibility required to deliver relevant business insights. We are seeing more and more organisations shift to a data lake solution. This approach allows you to store massive amounts of data in a central location so its readily available to be categorized, processed, analyzed, and consumed by diverse organizational groups. In this session, we’ll assemble a data lake using services such as Amazon S3, Amazon Kinesis, Amazon Athena, Amazon EMR, AWS Glue and integration with Amazon Redshift Spectrum.
What's New with Amazon Redshift ft. McDonald's (ANT350-R1) - AWS re:Invent 2018Amazon Web Services
Learn about the latest and hottest features of Amazon Redshift. We’ll deep dive into the architecture and inner workings of Amazon Redshift and discuss how the recent availability, performance, and manageability improvements we’ve made can significantly enhance your user experience. We’ll also share glimpse of what we are working on and our plans for the future. McDonald's will join us to share how they leverage a data lake powered by Redshift, Redshift spectrum and Athena to get quick insights.
Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity while automating time-consuming tasks such as hardware provisioning, database setup, patching, and backups. There are multiple database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It is designed to be compatible with MySQL and PostgreSQL so that existing applications and tools can run without modification.
Building low latency apps with a serverless architecture and in-memory data I...AWS Germany
Memory data stores such as ElastiCache for Redis enables applications with response times in microseconds. By using Aurora, DynamoDB, DAX, Lambda, and ElastiCache, we explored how to design and deploy high-perfomance applications. Learn more here: https://aws.amazon.com/products/databases/
Leadership Session: AWS Database and Analytics (DAT206-L) - AWS re:Invent 2018Amazon Web Services
We’re witnessing an unprecedented growth in the amount of data collected and stored in the cloud. Getting insights from this data requires database and analytics services that scale and perform in ways not possible before. AWS offers the broadest set of database and analytics services to process, store, manage, and analyze all your data. In this session, we provide an overview of the database and analytics services at AWS, new services and features we launched this year, how customers are using these services, and our vision for continued innovation in this space.
Intro to Open Source Databases on AWS - AWS Online Tech TalksAmazon Web Services
"Learning Objectives:
- Learn the benefits of building apps on AWS with open source databases like MySQL, PostgreSQL, Redis, and Memcached
- See how AWS database services provide the simplicity and cost-effectiveness of open source while automating time-consuming administrative tasks
- Get an inside look at how Amazon Aurora, a cloud-native database service, enhances open source MySQL and PostgreSQL with enterprise performance and availability"
Big data journey to the cloud rohit pujari 5.30.18Cloudera, Inc.
We hope this session was valuable in teaching you more about Cloudera Enterprise on AWS, and how fast and easy it is to deploy a modern data management platform—in your cloud and on your terms.
Learn about data lifecycle best practices in the AWS Cloud. Discover how to optimise performance and lower the costs of data ingestion, staging, storage, cleansing, analytics, visualisation, and archiving.
How Amazon Migrated Items & Offers for Retail, Marketplace, & Digital to Dyna...Amazon Web Services
In this session, learn how Amazon.com used AWS Database Migration Service (AWS DMS) to migrate 600B+ records to Amazon DynamoDB in two months. We address such questions such as: What were the problems in using Oracle databases for a large-scale distributed system that is constantly growing in scale? How did migration to Amazon DynamoDB address those problems and simplify the application architecture? How do you migrate data reliably and quickly using AWS DMS without affecting your application’s availability or throughput?
Similar to Using AWS Purpose-Built Databases to Modernize your Applications (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.