by Nikita Patil, Associate Solutions Architect AWS
AWS Data & Analytics Week is an opportunity to learn about Amazon’s family of managed analytics services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon Redshift data warehouse; Data Lake services including Amazon EMR, Amazon Athena, & Amazon Redshift Spectrum; Log Analytics with Amazon Elasticsearch Service; and data preparation and placement services with AWS Glue and Amazon Kinesis. You'll will learn how to get started, how to support applications, and how to scale.
by Nikita Patil, Associate Solutions Architect AWS
AWS Data & Analytics Week is an opportunity to learn about Amazon’s family of managed analytics services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon Redshift data warehouse; Data Lake services including Amazon EMR, Amazon Athena, & Amazon Redshift Spectrum; Log Analytics with Amazon Elasticsearch Service; and data preparation and placement services with AWS Glue and Amazon Kinesis. You'll will learn how to get started, how to support applications, and how to scale.
Getting Started with AWS IoT and the Dragon IoT Starter Kit - AWS May 2016 We...Amazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.
In this webinar, we will discuss how connected devices can leverage AWS IoT to send data to the cloud and receive commands back to the device from the cloud using protocol of their choice. We will use the Qualcomm Dragon IoT Starter Kits to demonstrate building a real connected product. We will use the IoT Starter Kit to securely connect with AWS IoT using MQTT, WebSockets, and HTTP protocols, and show how developers and businesses can leverage features of AWS IoT like Device Shadows, and the Rules Engine, which provides message processing and integration with other AWS services.
Learning Objectives:
• Understand what AWS IoT is and an introduction to the Internet of Things
• Understand connecting a device
• Understand using the Device Gateway, Rules Engine, Device Registry, and Device Shadows
AWS re:Invent 2016: Workshop: Adhere to the Principle of Least Privilege by U...Amazon Web Services
AWS IAM and Amazon VPC offer powerful tools that help you adhere to the principle of least privilege in your resource permissions and network security settings. This workshop will start with the fundamentals of IAM and VPC security techniques and will give you hands-on experience in writing, testing, applying, troubleshooting, and auditing progressively more tightly scoped IAM policies. You will also get experience building and monitoring VPC security groups that grant only the access required to perform tasks.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
AWS Infrastructure as Code - September 2016 Webinar SeriesAmazon Web Services
AWS CloudFormation lets you model, provision, and update a collection of AWS resources with JSON templates. You can manage your Infrastructure as Code and deploy stacks from a single Amazon EC2 instance to multi-tier applications. In this session, we will explore CloudFormation best practices in planning and provisioning your AWS infrastructure. We will cover recent product updates that will help users to make the most of this service and demonstrate new features. This session will benefit both new and experienced users of CloudFormation.
Learning Objectives:
• Learn best practices for managing your infrastructure as code using CloudFormation
• Discover new techniques for making the most of CloudFormation
• Hear about the latest product updates and new features released
Who Should Attend:
• Developers, DevOps, IT Operations, Systems Administrators, Solutions Architects
DevOps for the Enterprise: Automated Testing and Monitoring Amazon Web Services
Being able to produce deliverables and deploying them efficiently and as quickly as possible are the fundamental enablers of automated testing practices, which create a positive feedback loop to the development team.
This webinar goes beyond automated unit tests and shows how to take advantage of the on-demand nature of AWS to run automated performance tests or functional tests. This episode will also cover the core monitoring capabilities offered by AWS, which are critical to give insights to the DevOps teams of the unfolding of test runs.
Demos included in this webinar:
• Automating the execution of load tests against the target environment
• Testing the fault-tolerance of the target environment using Chaos Monkey
View the webinar: http://youtu.be/Czf6dmhOzR0
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will want to interact with AWS services like Kinesis, Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, learn about the use cases and benefits of AWS Greengrass, and routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
(SEC315) NEW LAUNCH: Get Deep Visibility into Resource Configurations | AWS r...Amazon Web Services
AWS Config is a new cross-resource service that allows you to discover new resources, how they're configured, and how these configurations changed over time. The service defines and captures relationships an dependencies between resources, helping you determine if a change to one resource affects other resources.
Want to learn more about running containers on AWS? In this we cover best practices for running container orchestration systems such as Amazon EC2 Container Service (ECS) and Kubernetes (K8s) on AWS.
Choosing the Right EC2 Instance and Applicable Use Cases - AWS June 2016 Webi...Amazon Web Services
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, and Memory Optimized families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Learning Objectives: • Understand the differences between instances • Learn best practices and tips for getting the most out of EC2 instances
AWS October Webinar Series - Getting Started with AWS IoTAmazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.
In this webinar, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device from the cloud using protocol of their choice. We will discuss how devices can securely connect using MQTT and HTTP protocols, and how developers and businesses can leverage features of AWS IoT like Thing Shadows and Rules Engine to build a real connected product.
While many organizations have started to automate their software development processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
딥러닝 기반의 이미지 분석 서비스인 Amazon Rekognition을 이용하여 어플리케이션에 인공지능 기능을 간단하게 추가하는 방법을 다룹니다. Amazon Rekognition의 얼굴 인식 기능을 활용해서, 트위터 사진을 분석하여 다양한 효과 또는 분석을 하는 봇을 만들어 봅니다. 제공되는 소스 코드를 기반으로 효과를 변경하거나, 얼굴의 특징을 출력하거나, 유명인을 찾는 등의 기능을 추가하는 실습할 수 있습니다.
본 워크샵에서는 사용자가 Wild Rydes 서비스를 통해 현재 있는 위치에서 유니콘 호출 및 탑승을 할 수 있는 스타트업 아이디어를 구현한다는 시나리오로 함께 웹 애플리케이션을 만들어 배포해 봅니다. 이 서비스는 사용자에게 HTML 기반 사용자 인터페이스를 제공하여, 사용자가 원하는 위치를 표시하고 유니콘 요청을 하면, 가까운 유니콘을 보내기기 위해 RESTful 웹 서비스로 백엔드를 제공합니다. 또한, 사용자가 유니콘 타기를 요청하기 전에 기본적으로 회원 가입을 하고 로그인 할 수있는 기능을 제공합니다. 이를 위해 AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, Amazon Cognito를 활용합니다.
Getting Started with AWS IoT and the Dragon IoT Starter Kit - AWS May 2016 We...Amazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.
In this webinar, we will discuss how connected devices can leverage AWS IoT to send data to the cloud and receive commands back to the device from the cloud using protocol of their choice. We will use the Qualcomm Dragon IoT Starter Kits to demonstrate building a real connected product. We will use the IoT Starter Kit to securely connect with AWS IoT using MQTT, WebSockets, and HTTP protocols, and show how developers and businesses can leverage features of AWS IoT like Device Shadows, and the Rules Engine, which provides message processing and integration with other AWS services.
Learning Objectives:
• Understand what AWS IoT is and an introduction to the Internet of Things
• Understand connecting a device
• Understand using the Device Gateway, Rules Engine, Device Registry, and Device Shadows
AWS re:Invent 2016: Workshop: Adhere to the Principle of Least Privilege by U...Amazon Web Services
AWS IAM and Amazon VPC offer powerful tools that help you adhere to the principle of least privilege in your resource permissions and network security settings. This workshop will start with the fundamentals of IAM and VPC security techniques and will give you hands-on experience in writing, testing, applying, troubleshooting, and auditing progressively more tightly scoped IAM policies. You will also get experience building and monitoring VPC security groups that grant only the access required to perform tasks.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
AWS Infrastructure as Code - September 2016 Webinar SeriesAmazon Web Services
AWS CloudFormation lets you model, provision, and update a collection of AWS resources with JSON templates. You can manage your Infrastructure as Code and deploy stacks from a single Amazon EC2 instance to multi-tier applications. In this session, we will explore CloudFormation best practices in planning and provisioning your AWS infrastructure. We will cover recent product updates that will help users to make the most of this service and demonstrate new features. This session will benefit both new and experienced users of CloudFormation.
Learning Objectives:
• Learn best practices for managing your infrastructure as code using CloudFormation
• Discover new techniques for making the most of CloudFormation
• Hear about the latest product updates and new features released
Who Should Attend:
• Developers, DevOps, IT Operations, Systems Administrators, Solutions Architects
DevOps for the Enterprise: Automated Testing and Monitoring Amazon Web Services
Being able to produce deliverables and deploying them efficiently and as quickly as possible are the fundamental enablers of automated testing practices, which create a positive feedback loop to the development team.
This webinar goes beyond automated unit tests and shows how to take advantage of the on-demand nature of AWS to run automated performance tests or functional tests. This episode will also cover the core monitoring capabilities offered by AWS, which are critical to give insights to the DevOps teams of the unfolding of test runs.
Demos included in this webinar:
• Automating the execution of load tests against the target environment
• Testing the fault-tolerance of the target environment using Chaos Monkey
View the webinar: http://youtu.be/Czf6dmhOzR0
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will want to interact with AWS services like Kinesis, Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, learn about the use cases and benefits of AWS Greengrass, and routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
(SEC315) NEW LAUNCH: Get Deep Visibility into Resource Configurations | AWS r...Amazon Web Services
AWS Config is a new cross-resource service that allows you to discover new resources, how they're configured, and how these configurations changed over time. The service defines and captures relationships an dependencies between resources, helping you determine if a change to one resource affects other resources.
Want to learn more about running containers on AWS? In this we cover best practices for running container orchestration systems such as Amazon EC2 Container Service (ECS) and Kubernetes (K8s) on AWS.
Choosing the Right EC2 Instance and Applicable Use Cases - AWS June 2016 Webi...Amazon Web Services
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, and Memory Optimized families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Learning Objectives: • Understand the differences between instances • Learn best practices and tips for getting the most out of EC2 instances
AWS October Webinar Series - Getting Started with AWS IoTAmazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.
In this webinar, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device from the cloud using protocol of their choice. We will discuss how devices can securely connect using MQTT and HTTP protocols, and how developers and businesses can leverage features of AWS IoT like Thing Shadows and Rules Engine to build a real connected product.
While many organizations have started to automate their software development processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
딥러닝 기반의 이미지 분석 서비스인 Amazon Rekognition을 이용하여 어플리케이션에 인공지능 기능을 간단하게 추가하는 방법을 다룹니다. Amazon Rekognition의 얼굴 인식 기능을 활용해서, 트위터 사진을 분석하여 다양한 효과 또는 분석을 하는 봇을 만들어 봅니다. 제공되는 소스 코드를 기반으로 효과를 변경하거나, 얼굴의 특징을 출력하거나, 유명인을 찾는 등의 기능을 추가하는 실습할 수 있습니다.
본 워크샵에서는 사용자가 Wild Rydes 서비스를 통해 현재 있는 위치에서 유니콘 호출 및 탑승을 할 수 있는 스타트업 아이디어를 구현한다는 시나리오로 함께 웹 애플리케이션을 만들어 배포해 봅니다. 이 서비스는 사용자에게 HTML 기반 사용자 인터페이스를 제공하여, 사용자가 원하는 위치를 표시하고 유니콘 요청을 하면, 가까운 유니콘을 보내기기 위해 RESTful 웹 서비스로 백엔드를 제공합니다. 또한, 사용자가 유니콘 타기를 요청하기 전에 기본적으로 회원 가입을 하고 로그인 할 수있는 기능을 제공합니다. 이를 위해 AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, Amazon Cognito를 활용합니다.
AWS 상에서 컨테이너를 활용하여 클라우드 인프라를 더욱 효과적으로 사용하는 방법에 대하여 다룹니다. 컨테이너를 업무 환경에 적용하기 위해서 고려해야 할 사항이 많아 어렵게만 느껴지던 주제들을 간편한 실습 과제를 해보면서 어렵지 않게 적용 할 수 있게 구성된 워크샵입니다.
단순한 컨테이너 프로비저닝을 시작으로, 스팟 인스턴스를 활용한 컨테이너 배포와 사용량에 따른 인스턴스 최적화 및 어플리케이션 로드밸런서를 활용한 컨테이너 오케스트레이션 구성에 대해서도 실습해 볼 수 있습니다.
이를 통하여 컨테이너를 실제 업무에 적용함으로서 보다 유연하고 비용효율적인 클라우드 인프라를 구성할 수 있는 방법을 습득 하실 수 있습니다.
컨테이너를 활용하여 마이크로서비스를 구성할 때는 효과적으로 컨테이너 및 서비스를 관리할 수 있는 방법이 필요합니다. 본 세션에서는 유연하게 컨테이너 환경을 관리/모니터링 할 수 있는 Amazon EC2 Container Service 및 EC2 Container Registry를 소개합니다. 아울러 Amazon ECS/ECR 환경에서 효과적인 자원 및 로그 관리, 마이크로서비스 관리에 대해서 자세히 살펴봅니다.
다양한 분야에서 좋은 성능을 보여주는 머신러닝의 한 종류인 딥 러닝에 대한 기본적인 개념과 이미지 분석에 많이 적용되는 Convolutional Neural Network 을 배워봅니다. 이를 구현하기 위한 딥러닝 프레임워크인 Apache MXNet에 대한 소개와 기본 사용법을 익혀보고, Fashion MNIST 데이터를 분류하는 CNN 모델을 구현하는 방법을 설명합니다.
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)Amazon Web Services
In this workshop, we focus on visualizations of IoT data using ELK, Amazon Elasticsearch, Logstash, and Kibana or Amazon Kinesis. We will dive into how these visualizations can give you new capabilites and understanding when interacting with your device data from the context they provide on the world around them.
Programming the Physical World with Device Shadows and Rules EngineAmazon Web Services
Learn more about how to use AWS IoT's Device Shadows and Rules Engine to build powerful IoT applications. With Device Shadows, you can build applications that interact with your devices by providing always available REST APIs. By taking advantage of AWS IoT's topic-based rules and built-in integrations, you can build IoT applications that gather, process, analyze, and act on data generated by connected devices at global scale, without having to manage any infrastructure.
Building a serverless company on AWS lambda and Serverless frameworkLuciano Mammino
Planet9energy.com is a new electricity company building a sophisticated analytics and energy trading platform for the UK market. Since the earliest draft of the platform, we took the unconventional decision to go serverless and build the product on top of AWS Lambda and the Serverless framework using Node.js. In this talk, I want to discuss why we took this radical decision, what are the pros and cons of this approach and what are the main issues we faced as a tech team in our design and development experience. We will discuss how normal things like testing and deployment need to be re-thought to work on a serverless fashion but also the benefits of (almost) infinite self-scalability and the peace of mind of not having to manage hundreds of servers. Finally, we will underline how Node.js seems to fit naturally in this scenario and how it makes developing serverless applications extremely convenient.
Technologies:
Backend
Frontend
Application architecture
Javascript
cloud computing
ScyllaDB recently announced Project Alternator, a new open source project that will enable Amazon DynamoDB users to easily migrate to an open source database that runs anywhere — on most cloud platforms, on-premises, on bare-metal, virtual machines or via Kubernetes — all while preserving their investments in their existing application code.
Project Alternator will help DynamoDB users achieve much better and more reliable performance, reduce database costs by 80% - 90%, support large items (10s of MBs) and large partitions (multiple GBs), control the number of replicas, balance cost vs. redundancy, and much more.
Join ScyllaDB founders Avi Kivity and Dor Laor and lead engineer Nadav Har’El for a live webinar on September 25th, where they will share an overview of Project Alternator,
MongoDB Days Silicon Valley: MongoDB and the Hadoop ConnectorMongoDB
Presented by Luke Lovett, Software Engineer, MongoDB
Experience level: Introductory
MongoDB and Hadoop work powerfully together as complementary technologies. Learn how the Hadoop connector allows you to leverage the power of MapReduce to process data sourced from your MongoDB cluster.
ScyllaDB recently announced Project Alternator, a new open source project that will enable Amazon DynamoDB users to easily migrate to an open-source database that runs anywhere — on most cloud platforms, on-premises, on bare-metal, virtual machines or via Kubernetes — all while preserving their investments in their existing application code.
Project Alternator will help DynamoDB users achieve much better and more reliable performance, reduce database costs by 80% - 90%, support large items (10s of MBs) and large partitions (multiple GBs), control the number of replicas, balance cost vs. redundancy, and much more.
Join ScyllaDB founders Avi Kivity and Dor Laor and lead engineer Nadav Har’El for a live webinar on September 25th, where they will share an overview of Project Alternator, including:
Alternator’s design implementation and goals
How to configure Alternator (ok, add alternator_port: 8000 to your scylla.yaml)
Demo how to easily run it from docker/rpm
Run several examples:
Tic-tac-toe based DynamoDB example with Alternator
How to benchmark Scylla Alternator with YCSB and considerations around it
How to run a serverless application along with Alternator
How to migrate DynamoDB data to Alternator using the Spark migrator
Discuss the current limitations of Alternator
Plus we will discuss current limitations of Alternator, describe different consistencies and active-active vs leader model, share the project roadmap, and answer your questions at the end.
Distributed Queries in IDS: New features.Keshav Murthy
Learn about the latest function relating to distributed queries that was delivered in IBM Informix® Dynamic Server (IDS) 11 and 11.5. This talk will provide an overview of distributed queries, then will jump into a deep dive on the latest functions and how you can benefit from implementing distributed queries in your solutions.
NoSQL databases are often touted for their performance and whilst it's true that they usually offer great performance out of the box, it still really depends on how you deploy your infrastructure. Dedicated vs cloud? In memory vs on disk? Spindal vs SSD? Replication lag. Multi data centre deployment.
This talk considers all the infrastructure requirements of a successful high performance infrastructure with hints and tips that can be applied to any NoSQL technology. It includes things like OS tweaks, disk benchmarks, replication, monitoring and backups.
Presented at NoSQL Roadshow Berlin 2013 by David Mytton.
Here's an example of how to code with Riak using cURL and ruby to do a basic PUT, GET and more. We then index the data using Apache Solr integration.
No matter what platform we’re discussing, we’re beyond the view of rows and columns. Data is more diverse than ever. More difficult to parse. Here is some of that story.
by Ganesh Shankaran, Sr. Solutions Architect, AWS
Hands-on Lab to compare and contrast relational queries (using RDS for MySQL) with nonrelational queries (using ElastiCache for Redis). You’ll need a laptop with a Firefox or Chrome browser.
Similar to AWS IoT 핸즈온 워크샵 - 실습 5. DynamoDB에 센서 데이터 저장하기 (김무현 솔루션즈 아키텍트) (20)
사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...Amazon Web Services Korea
Database Migration Service(DMS)는 RDBMS 이외에도 다양한 데이터베이스 이관을 지원합니다. 실제 고객사 사례를 통해 DMS가 데이터베이스 이관, 통합, 분리를 수행하는 데 어떻게 활용되는지 알아보고, 동시에 데이터 분석을 위한 데이터 수집(Data Ingest)에도 어떤 역할을 하는지 살펴보겠습니다.
Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...Amazon Web Services Korea
Amazon ElastiCache는 Redis 및 MemCached와 호환되는 완전관리형 서비스로서 현대적 애플리케이션의 성능을 최적의 비용으로 실시간으로 개선해 줍니다. ElastiCache의 Best Practice를 통해 최적의 성능과 서비스 최적화 방법에 대해 알아봅니다.
Internal Architecture of Amazon Aurora (Level 400) - 발표자: 정달영, APAC RDS Speci...Amazon Web Services Korea
ccAmazon Aurora 데이터베이스는 클라우드용으로 구축된 관계형 데이터베이스입니다. Aurora는 상용 데이터베이스의 성능과 가용성, 그리고 오픈소스 데이터베이스의 단순성과 비용 효율성을 모두 제공합니다. 이 세션은 Aurora의 고급 사용자들을 위한 세션으로써 Aurora의 내부 구조와 성능 최적화에 대해 알아봅니다.
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오랫동안 관계형 데이터베이스가 가장 많이 사용되었으며 거의 모든 애플리케이션에서 널리 사용되었습니다. 따라서 애플리케이션 아키텍처에서 데이터베이스를 선택하기가 더 쉬웠지만, 구축할 수 있는 애플리케이션의 유형이 제한적이었습니다. 관계형 데이터베이스는 스위스 군용 칼과 같아서 많은 일을 할 수 있지만 특정 업무에는 완벽하게 적합하지는 않습니다. 클라우드 컴퓨팅의 등장으로 경제적인 방식으로 더욱 탄력적이고 확장 가능한 애플리케이션을 구축할 수 있게 되면서 기술적으로 가능한 일이 달라졌습니다. 이러한 변화는 전용 데이터베이스의 부상으로 이어졌습니다. 개발자는 더 이상 기본 관계형 데이터베이스를 사용할 필요가 없습니다. 개발자는 애플리케이션의 요구 사항을 신중하게 고려하고 이러한 요구 사항에 맞는 데이터베이스를 선택할 수 있습니다.
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실시간 분석은 AWS 고객의 사용 사례가 점점 늘어나고 있습니다. 이 세션에 참여하여 스트리밍 데이터 기술이 어떻게 데이터를 즉시 분석하고, 시스템 간에 데이터를 실시간으로 이동하고, 실행 가능한 통찰력을 더 빠르게 얻을 수 있는지 알아보십시오. 일반적인 스트리밍 데이터 사용 사례, 비즈니스에서 실시간 분석을 쉽게 활성화하는 단계, AWS가 Amazon Kinesis와 같은 AWS 스트리밍 데이터 서비스를 사용하도록 지원하는 방법을 다룹니다.
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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.
Amazon OpenSearch - Use Cases, Security/Observability, Serverless and Enhance...Amazon Web Services Korea
로그 및 지표 데이터를 쉽게 가져오고, OpenSearch 검색 API를 사용하고, OpenSearch 대시보드를 사용하여 시각화를 구축하는 등 Amazon OpenSearch의 새로운 기능과 기능에 대해 자세히 알아보십시오. 애플리케이션 문제를 디버깅할 수 있는 OpenSearch의 Observability 기능에 대해 알아보세요. Amazon OpenSearch Service를 통해 인프라 관리에 대해 걱정하지 않고 검색 또는 모니터링 문제에 집중할 수 있는 방법을 알아보십시오.
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데이터 거버넌스는 전체 프로세스에서 데이터를 관리하여 데이터의 정확성과 완전성을 보장하고 필요한 사람들이 데이터에 액세스할 수 있도록 하는 프로세스입니다. 이 세션에 참여하여 AWS가 어떻게 분석 서비스 전반에서 데이터 준비 및 통합부터 데이터 액세스, 데이터 품질 및 메타데이터 관리에 이르기까지 포괄적인 데이터 거버넌스를 제공하는지 알아보십시오. AWS에서의 스트리밍에 대해 자세히 알아보십시오.
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이 세션에 참여하여 Amazon Redshift의 새로운 기능을 자세히 살펴보십시오. Amazon Data Sharing, Amazon Redshift Serverless, Redshift Streaming, Redshift ML 및 자동 복사 등에 대한 자세한 내용과 데모를 통해 Amazon Redshift의 새로운 기능을 알고 싶은 사용자에게 적합합니다.
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데이터는 혁신과 변혁의 토대입니다. 비즈니스 혁신을 이끄는 혁신은 특정 시점의 전략이나 솔루션이 아니라 성장을 위한 반복적이고 집단적인 계획입니다. 혁신에 이러한 접근 방식을 채택하는 기업은 전략과 비즈니스 문화에서 데이터를 기반으로 하는 경우가 많습니다. 이러한 접근 방식을 개발하려면 리더가 데이터를 조직의 자산처럼 취급하고 조직이 더 나은 비즈니스 성과를 위해 데이터를 활용할 수 있도록 권한을 부여해야 합니다. AWS와 Amazon이 어떻게 데이터와 분석을 활용하여 확장 가능한 비즈니스 효율성을 창출하고 고객의 가장 복잡한 문제를 해결하는 메커니즘을 개발했는지 알아보십시오.
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데이터는 최종 소비자의 성공에 초점을 맞춘 디지털 혁신에서 중추적인 역할을 하고 있습니다. 모든 기업들은 데이터를 자산으로 사용하여 사례 제공을 추진하고 까다로운 결과를 해결하고 있습니다. AWS 클라우드 기술과 분석 솔루션의 강력한 성능을 통해 고객은 혁신 여정을 가속화할 수 있습니다. 이 세션에서는 기업 고객들이 클라우드에서 데이터의 힘을 활용하여 혁신 목표를 달성하고 필요한 결과를 제공하는 방법에 대해 다룹니다.
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온프레미스 분석 플랫폼에는 자원 증설 비용, 자원 관리 비용, 신규 자원 도입 및 환경 설정의 리드타임 등 다양한 측면에서의 한계가 존재합니다. 이에 KB국민카드에서는 기존 분석 플랫폼의 한계를 극복함과 동시에 시너지를 낼 수 있는 클라우드 기반 분석 플랫폼을 설계 및 도입하였습니다. 본 사례 소개는 KB국민카드의 데이터 혁신 여정과 노하우를 소개합니다.
SK Telecom - 망관리 프로젝트 TANGO의 오픈소스 데이터베이스 전환 여정 - 발표자 : 박승전, Project Manager, ...Amazon Web Services Korea
SK Telecom의 망관리 프로젝트인 TANGO에서는 오라클을 기반으로 시스템을 구축하여 운영해 왔습니다. 하지만 늘어나는 사용자와 데이터로 인해 유연하고 비용 효율적인 인프라가 필요하게 되었고, 이에 클라우드 도입을 검토 및 실행에 옮기게 되었습니다. TANGO 프로젝트의 클라우드 도입을 위한 검토부터 준비, 실행 및 이를 통해 얻게 된 교훈과 향후 계획에 대해 소개합니다.
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2022년 코리안리는 핵심업무시스템(기간계/정보계 시스템)을 AWS 클라우드로 전환하는 사업과 AWS 클라우드 기반에서 손익분석을 위한 어플리케이션 구축 사업을 동시에 진행하고 있었습니다. 이에 따라 클라우드 전환 이후 시스템 간 상호운용성과 호환성을갖춘 데이터 분석 플랫폼 또한 필요하게 되었습니다. 코리안리 IT 환경에 적합한 플랫폼 선정을 위하여 AWS Native Analytics Platform, 3rd Party Analytics Platform (클라우데라, 데이터브릭스)과의 PoC를 진행하고, 최종적으로 AWS Native Analytics Platform 으로 확정하였습니다. 코리안리는 메가존클라우드와 함께 2022년 10월부터 4개월(구축 3개월, 안정화 및 교육 1개월) 동안 AWS 기반 데이터 분석 플랫폼을 구축하고 활용 범위를 지속적으로 확대하고 있습니다.
LG 이노텍 - Amazon Redshift Serverless를 활용한 데이터 분석 플랫폼 혁신 과정 - 발표자: 유재상 선임, LG이노...Amazon Web Services Korea
LG 이노텍은 세계 시장을 선도하는 글로벌 소재·부품기업으로, Amazon Redshift 을 데이터 분석 플랫폼의 핵심 서비스로 활용하고 있습니다.지속적인 데이터 증가와 업무 확대에 따른 유연한 아키텍처 개선의 필요성에 대처하기 위해, 2022년에 AWS 에서 발표된 Redshift Serverless 를 활용한, 비용 최적화된 아키텍처 개선 과정의 실사례를 엿볼수 있는 기회가 됩니다.
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1. Stream data from our IoT client to a DynamoDB table. We will use the AWS IoT rules to stream data directly
into DynamoDB, this is a great and easy way to get data into an extremely fast lookup store for later
processing.
We need to create a DynamoDB table.
Open the DynamoDB dashboard
Let's call this iotddb
Our partition key can just be "SeqNumber" type String
Add a sort key, a requirement for AWS IoT integration
The sort key can be "SeqSort" type String
Keep all other defaults
Lab 8 - Streaming data to DynamoDB
Step 1
2. One of the great things with a NoSQL datastore is that we don't have to define our anything else for our
schema. Once it has finished being created move to step 2.
We are going to create a new rule for DynamoDB.
Open the AWS IoT dashboard
Click Create Resource and pick Create Rule
We can call this rule iotDynamoDB
Our Attribute will be the usual *
Our From will be ddb
Choose the DynamoDB Action
Tablename is iotddb
Hashkey and Rangekey should populate as SeqNumber + SeqSort
The hash value will be ${SeqNumber}
The range value will be ${SeqSort}
Step 2
3. Select your role.
Make sure your role has DynamoDB Permissions!
As with the other labs we'll want to modify our thingtest.js script to use our new topic but to also specify our
Hash and Range keys.
Your thingtest.js should look like the following:
Step 3
5. node thingtest.js
You should see 100 messages sent directly to DynamoDB. You can now open the DynamoDB console and
click your items tab on your table to verify your data arrived.
Bash