AWS Innovate 2016 : Closing Keynote - Glenn Gore

•

0 likes•268 views

Amazon Web Services Korea

AWS Innovate 2016 Closing Remark

Technology

Connectivity drives innovation
Connecting the first computers
Research Universities
Consumer dial-up ISP’s
xDSL ISP’s
Smart Phones (GPRS, 3G, 4G, 5G?)
Internet of Things

What happens when the world can access connected devices for < $5?
What if you could interact and change the world around you?
What if you could improve the world for others?
What can you learn when you have access to more information?
What if if you could do this in an afternoon?
Connecting the disconnected

Insight #1
evolve quickly
“want to increase the pace of innovation?
Lower the cost of failure.”
- Joi Ito – Head of MIT Media Labs

Insight #2
security is key
Security is our #1 priority
Encryption is a first class citizen

Insight #3
API’s for all
once defined, there forever

Insight #4
automate everything
elasticity
scalability
reliability
predictability

Insight #5
primitives > frameworks
choice
flexibility
agility
reuseable

There has never been
a better time to build!
Go Build!
@glenngore

Online Labs & Training
Gain confidence and hands-on
experience with AWS.
Watch free Instructional Videos and
explore Self-Paced Labs
Instructor Led Classes
Learn how to design, deploy and
operate highly available, cost-effective
and secure applications on AWS in
courses led by qualified AWS instructors
Validate your technical expertise
with AWS and use practice exams
to help you prepare for AWS
Certification
AWS Certification
More info at http://aws.amazon.com/training

Thank You for Attending AWS Innovate
We hope you found it interesting!
Do provide us with your feedback for the session and complete the feedback form.
Let us know your thoughts of today’s event and how we can improve the event
experience for you in the future.

Speaker: Scott Miller, Section Head-Development Section, Department of Safeguards (IAEA) Security decisions are often done without considering the end-user impact. Will a security procedure be followed by an end-user or in the interest of time and effort will it be avoided? Should our effort be on motivating end-users to follow security procedures? Or can we improve the user experience to support good security habits? How do we get security professional and designers working toward a common goal? This talk will try to answer some of these questions.

TFT13 - Ian Aitchison, Approaching the Event Horizon

TFT presentations Tomorrow's IT Service Future Today

Doesn't IT feel as if everything is about to change? And that you are the ones who can change it Join Ian Aitchison as he describes how Process is becoming Physical, how re-thinking ITIL Event Management actually provides the key to changing the future of IT Service Management, and how dramatic shifts in current and pending technology have the potential to take us beyond the tipping point - into a new world of User Oriented IT. Not just ideas and inspiration, this session contains practical examples of re-shaping 'back-end' ITIL activities into measurable improvements in IT Customer productivity. If you don't engage now. You might not be engaged tomorrow. For more about TFT please visit www.tomorrowsfuturetoday.com Submit to speak at #TFT14 here: list.ly/list/7Pn-tft14-february-2014

Tech toast 2019_alex_kearns_ubisend_local_recall

ubisend

ubisend developer Alex Kearns presented Local Recall, a project in collaboration with Archant and Google, to the Tech + Toast event. Local Recall is an innovative, never-done-before project that aims to turn 150 years old newspapers into interactive voice chatbots. Once released, users will be able to ask Alexa or Google Home for stories such as 'what happened today in 1956?' or 'read me an article about the Moon Landing'. Alex Kearns has taken a lead developer role throughout parts of the 18-month long project. The innovative project caught the eye of Google's Digital News Initiative, funding innovation in the publishing industry. Watch Alex's talk here: https://youtu.be/mF4cX0dINFk Learn about Local Recall: https://blog.ubisend.com/discover-chatbots/google-ubisend-archant Get in touch with ubisend: https://www.ubisend.com/contact

Trendcasting for 2018 what will the future of tech hold

Brian Pichman

Ubiquity

Jessi Miele

#TFT12: Amber Case

TFT presentations Tomorrow's IT Service Future Today

Presentation for #TFT12: Location and the Future of the Interface In this presentation, Geoloqi founder Amber Case will highlight why developers of apps should look at what users want to do now, as well as what users want to do in the future, why social apps should try to mirror real-world relationships, why sharing should be about who you share with as well as how long you're sharing, and why developers should think about how to make apps "ambient" and require less user interaction. See Amber's TFT speaker Pinterest board: http://pinterest.com/servicedesk/amber-case/

IT security wars show now sign of slowing down, or in any way, becoming less intense, quite the reverse. Rogue States, Criminal Gangs and Hackers are now trading information and sharing skills and developments on an industrial scale. Vast sums of money are being stolen and extorted by these groups, and their investment in software tools and malware is significant. As a growing cooperative they rival some of our big institutions and agencies in their abilities and knowledge, and in general completely outgun the SME sector. In their latest manifestation they hunt in packs, with individuals and individual groups assigned tasks according to their particular specialisms and skills. Insourcing, outsourcing, mobile and flexible working is the norm along with networked computing, clouds and dark nets. In contrast the forces of good tend to more conservative and operate in isolation, evolve at a slower rate, and present a relatively static attack surface. In aggregate however, they possess the people and skills necessary to dominate the IT security spectrum, but only if they share what they know along with what they are experiencing, manpower and the key software tools and skills they have developed. The extent to which the Good could outgun the Bad is estimated to be >> 3:1 and most likely beyond 30 >> 1, provided the Good share and begin to think and act differently. But as we edge toward the IoT (internet of Things and CoT (Clouds of Things) the Good look ever more exposed by old thinking and a less than pro-active mindset focused on remedial rather than anticipative action. Here we identify some of the key risks (present and future) and postulate workable solutions that could be engineered today including auto-immunity spanning every chip, card, shelf, rack, floor, building and all devices.

The Future of the Internet – Real-Time-Web by Synaptic

MobileMonday Norway

AWS Innovate: Smart Deployment on AWS - Andy Kim

Amazon Web Services Korea

오토스케일링 제대로 활용하기 (김일호) - AWS 웨비나 시리즈 2015

Amazon Web Services Korea

오토스케일링(Auto-scaling)은 AWS 클라우드를 통해 고확장성 서비스와 아키텍처를 구성하는 데 필요한 가장 중요한 요소 중 하나입니다. 이 강연에서는 효과적인 클라우드 인프라 구축을 위해 오토 스케일링을 활용하는 다양한 방법에 대해 자세히 소개해 드립니다. 오토 스케일링 그룹의 구성과 확장 계획에 따른 설정 방법, 오토 스케일링 라이프 사이클과 CloudWatch 및 알림을 이용한 관리 방법, 각종 오토스케일링 모범사례 등을 알아보실 수 있습니다.

개발자가 알아야 할 Amazon DynamoDB 활용법 :: 김일호 :: AWS Summit Seoul 2016

Amazon Web Services Korea

AWS를 활용한 첫 빅데이터 프로젝트 시작하기(김일호)- AWS 웨비나 시리즈 2015

Amazon Web Services Korea

이제 빅데이터란 개념은 익숙한 것이 되었지만 이를 비지니스에 적용하고 최대의 효과를 얻는 방법에 대한 고찰은 여전히 필요합니다. 소중한 데이터를 쉽게 저장 및 분석하고 시각화하는 것은 비즈니스에 대한 통찰을 얻기 위한 중요한 과정입니다. 이 강연에서는 AWS Elastic MapReduce, Amazon Redshift, Amazon Kinesis 등 AWS가 제공하는 다양한 데이터 분석 도구를 활용해 보다 간편하고 빠른 빅데이터 분석 서비스를 구축하는 방법에 대해 소개합니다.

Amazon Machine Learning 게임에서 활용해보기 :: 김일호 :: AWS Summit Seoul 2016

Amazon Web Services Korea

빅 데이터 분석을 위한 AWS 활용 사례 - 최정욱 솔루션즈 아키텍트:: AWS Cloud Track 1 Intro

Amazon Web Services Korea

찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)

Amazon Web Services Korea

대용량 데이타 쉽고 빠르게 분석하기 :: 김일호 솔루션즈 아키텍트 :: Gaming on AWS 2016

Amazon Web Services Korea

AWS Innovate: Infrastructure Automation on AWS - Seungdo Yang

Amazon Web Services Korea

AWS Innovate 2016- Planning a Phased Cloud Migration Strategy - Abhishek Mah...

Amazon Web Services Korea

Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...

Amazon Web Services

Evolving your analytics from batch processing to real-time processing can have a major business impact, but ingesting streaming data into your data warehouse requires building complex streaming data pipelines. Amazon Kinesis Firehose solves this problem by making it easy to ingest streaming data into Amazon Redshift so that you can use existing analytics and business intelligence tools to extract information in near real-time and respond promptly. In this webinar, we will dive deep using Amazon Kinesis Firehose to load streaming data into Amazon Redshift reliably, scalably, and cost-effectively. Join us to: - Understand the basics of ingesting streaming data from sources such as mobile devices, servers, and websites with Amazon Kinesis Firehose - Get a closer look at how to automate delivery of streaming data to Amazon Redshift reliably using Amazon Kinesis Firehose - Learn techniques to detect, troubleshoot, and avoid data loading problems Who should attend: Developers, data analysts, data engineers, architects

Getting Started with Amazon Kinesis

Amazon Web Services

Getting Started with Amazon Redshift

Amazon Web Services

Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.

(SDD405) Amazon Kinesis Deep Dive | AWS re:Invent 2014

Amazon Web Services

The network as a design material: Interaction 16 workshop

Helen Le Voi

The network as a design material: Interaction 16 workshop

Claire Rowland

What's hot

Task 5 powerpoint iot

Adambailey-eccles

5 Myths of Cybersecurity That are Important to You and Your Job

Evolver Inc.

April 3 Springfield Cleared Job Fair, Security Clearance Briefings, Resume Re...

ClearedJobs.Net

Arpan pal csi2012Arpan Pal

Evolving it security Threats and Solutions

University of Hertfordshire

The Future of the Internet – Real-Time-Web by Synaptic

MobileMonday Norway

What's hot (6)

Task 5 powerpoint iot

5 Myths of Cybersecurity That are Important to You and Your Job

April 3 Springfield Cleared Job Fair, Security Clearance Briefings, Resume Re...

Arpan pal csi2012

Evolving it security Threats and Solutions

The Future of the Internet – Real-Time-Web by Synaptic

Viewers also liked

AWS Innovate: Smart Deployment on AWS - Andy Kim

Amazon Web Services Korea

오토스케일링 제대로 활용하기 (김일호) - AWS 웨비나 시리즈 2015

Amazon Web Services Korea

개발자가 알아야 할 Amazon DynamoDB 활용법 :: 김일호 :: AWS Summit Seoul 2016

Amazon Web Services Korea

AWS를 활용한 첫 빅데이터 프로젝트 시작하기(김일호)- AWS 웨비나 시리즈 2015

Amazon Web Services Korea

Amazon Machine Learning 게임에서 활용해보기 :: 김일호 :: AWS Summit Seoul 2016

Amazon Web Services Korea

빅 데이터 분석을 위한 AWS 활용 사례 - 최정욱 솔루션즈 아키텍트:: AWS Cloud Track 1 Intro

Amazon Web Services Korea

찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)

Amazon Web Services Korea

대용량 데이타 쉽고 빠르게 분석하기 :: 김일호 솔루션즈 아키텍트 :: Gaming on AWS 2016

Amazon Web Services Korea

AWS Innovate: Infrastructure Automation on AWS - Seungdo Yang

Amazon Web Services Korea

AWS Innovate 2016- Planning a Phased Cloud Migration Strategy - Abhishek Mah...

Amazon Web Services Korea

Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...

Amazon Web Services

Getting Started with Amazon Kinesis

Amazon Web Services

Getting Started with Amazon Redshift

Amazon Web Services

(SDD405) Amazon Kinesis Deep Dive | AWS re:Invent 2014

Amazon Web Services

Viewers also liked (14)

AWS Innovate: Smart Deployment on AWS - Andy Kim

오토스케일링 제대로 활용하기 (김일호) - AWS 웨비나 시리즈 2015

개발자가 알아야 할 Amazon DynamoDB 활용법 :: 김일호 :: AWS Summit Seoul 2016

AWS를 활용한 첫 빅데이터 프로젝트 시작하기(김일호)- AWS 웨비나 시리즈 2015

Amazon Machine Learning 게임에서 활용해보기 :: 김일호 :: AWS Summit Seoul 2016

빅 데이터 분석을 위한 AWS 활용 사례 - 최정욱 솔루션즈 아키텍트:: AWS Cloud Track 1 Intro

찾아가는 AWS 세미나(구로,가산,판교) - AWS 기반 빅데이터 활용 방법 (김일호 솔루션즈 아키텍트)

대용량 데이타 쉽고 빠르게 분석하기 :: 김일호 솔루션즈 아키텍트 :: Gaming on AWS 2016

AWS Innovate: Infrastructure Automation on AWS - Seungdo Yang

AWS Innovate 2016- Planning a Phased Cloud Migration Strategy - Abhishek Mah...

Stream Data Analytics with Amazon Kinesis Firehose & Redshift - AWS August We...

Getting Started with Amazon Kinesis

Getting Started with Amazon Redshift

(SDD405) Amazon Kinesis Deep Dive | AWS re:Invent 2014

Similar to AWS Innovate 2016 : Closing Keynote - Glenn Gore

The network as a design material: Interaction 16 workshop

Helen Le Voi

The network as a design material: Interaction 16 workshop

Claire Rowland

Learn, Teach, Build and Deploy IoT

Dr. Mazlan Abbas

Internet of things

Fraser Henderson

How to Build Your Future in the Internet of Things Economy. Jennifer Riggins

Future Insights

FOWA London 2015 The trillion-dollar IoT economy will impact our lives so much more than even the Internet itself. From IoT protocols to hypermedia APIs to devices to new networks of communication, you need to learn how to overcome very arduous security, privacy, and just-too-soon barriers in order to build your own future in the IoT space. Jennifer's talk is a result of talking to dozens of Internet of Things influencers and experts - come along to learn about her findings!

Hac IT 4. Emerging Technologies (1).pdf

AAFREEN SHAIKH

Read2 me a cloud based reading aid for the visually impaired

LeMeniz Infotech

Read2Me A Cloud based Reading Aid for the Visually Impaired Web : http://www.lemenizinfotech.com Web : http://ieeemaster.com Web : http://www.lemenizinfotech.com/android-ieee-projects-2016-2017-2/ Web : http://ieeemaster.com/android-ieee-projects-2016-2017/ Address: 36, 100 Feet Road(Near Indira Gandhi Statue), Natesan Nagar, Pondicherry-605 005 Contact numbers: +91 95663 55386, 99625 88976 (0413) 420 5444 Mail : projects@lemenizinfotech.com Mobile : 9566355386 / 9962588976

How would AI shape Future Integrations?

Srinath Perera

We have critically evaluated how AI will shape integration use cases, their feasibility, and timelines. Emerging Technology Analysis Canvas (ETAC), a framework built to analyze emerging technologies, is the methodology of our study. We observe that AI can significantly impact integration use cases and identify 13 AI-based use case classes for integration. Points to note include: Enabling AI in an enterprise involves collecting, cleaning up, and creating a single representation of data as well as enforcing decisions and exposing data outside, each of which leads to many integration use cases. Hence, AI indirectly creates demand for integration. AI needs data, which in some cases lead to significant competitive advantages. The need to collect data would drive vendors to offer most AI products in the cloud through APIs. Due to lack of expertise and data, custom AI model building will be limited to large organizations. It is hard for small and medium size organization to build and maintain custom models.

When Computers are Everywhere, Will we have superpowers.

Guy Bieber

Iot with azure | Yogesh Ojha | Global Azure BootCamp

Yogesh Ojha

The Myth of The Iron Triangle in Security

Sherif Mansour

The Iron triangle was initially about the policy making relationships in US politics fixed relationships between congressional committees, bureaucracy & interest groups.  In security it became a short hand for the relationship between ease of use, performance and security.  Unfortunately this had a negative impact on the industry as it lead to the belief that you had a fixed trade off between security, ease of use and performance.

ITCamp 2018 - Magnus Mårtensson - Azure Global Application Perspectives

ITCamp

Building and running a service for a truly global audience has always been the ultimate challenge for any business and for any application developer. In this session, we will discuss global perspectives on running your application tier in a scalable way – WebApps/APIs, Traffic Manager and Serverless. We will discuss the new Cosmos DB service offering in Azure and it’s built in global sync with little more than a press of a button on your end – data was always the final frontier of globalization of your app. We will look at what it takes to monitor this kind of an environment. Naturally this is a very big set of topics which means this session is aimed to give an overview, spark a discussion and provide some directional and inspirational input.

2016 iot summit_guy_bieber9

Guy Bieber

An exploration of geographic authentication scheme

LeMeniz Infotech

An Exploration of Geographic Authentication Scheme Web : http://www.lemenizinfotech.com Web : http://ieeemaster.com Web : http://www.lemenizinfotech.com/android-ieee-projects-2016-2017-2/ Web : http://ieeemaster.com/android-ieee-projects-2016-2017/ Address: 36, 100 Feet Road(Near Indira Gandhi Statue), Natesan Nagar, Pondicherry-605 005 Contact numbers: +91 95663 55386, 99625 88976 (0413) 420 5444 Mail : projects@lemenizinfotech.com Mobile : 9566355386 / 9962588976

Awareness on IoT Adoption for SMEs and Business Intelligence

Dr. Mazlan Abbas

Preventive Maintenance and IoE

RF Studio

The Top 10 IT Skills to Learn.pdf

AK Deep Knowledge

The Top 10 IT Skills to Learn in 2023 Introduction: In the ever-evolving landscape of Information Technology (IT), staying relevant and competitive requires a continuous commitment to learning and skill development. As technology advances at an unprecedented pace, professionals in the IT industry must remain adaptable and proficient in the latest trends and tools. This article will explore the top 10 IT skills that are currently in high demand and are expected to remain vital in the years to come. Cloud Computing: Cloud computing has become the backbone of modern IT infrastructure. As organizations increasingly migrate their operations to the cloud, skills related to cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform are in high demand. Understanding how to manage, secure, and optimize cloud resources is a crucial skill for IT professionals. Cybersecurity: In an age of data breaches and cyberattacks, cybersecurity remains one of the most critical IT skills. Professionals skilled in identifying and mitigating security threats, implementing robust security protocols, and ensuring compliance with data protection regulations are highly sought after. Cybersecurity certifications like CISSP and CEH can boost one's credibility in this field. Data Science and Big Data: Data is the new gold, and the ability to analyze and derive valuable insights from vast datasets is a valuable skill. Proficiency in data science, machine learning, and big data technologies like Hadoop and Spark can open doors to exciting career opportunities in areas such as data analysis, predictive analytics, and artificial intelligence. DevOps and Continuous Integration/Continuous Deployment (CI/CD): DevOps practices are vital for streamlining software development and deployment processes. IT professionals who can bridge the gap between development and operations, automate workflows, and implement CI/CD pipelines are highly sought after. Familiarity with tools like Docker, Kubernetes, Jenkins, and Git is essential in this domain. Full-Stack Development: Full-stack developers are proficient in both front-end and back-end development, making them versatile assets in IT teams. Mastering programming languages like JavaScript, Python, and frameworks such as React, Angular, and Node.js is essential for full-stack development. Internet of Things (IoT): The Internet of Things is transforming various industries, and IT professionals with IoT expertise are in high demand. Understanding how to develop, secure, and manage IoT devices and their data is crucial. Familiarity with protocols like MQTT and IoT platforms like AWS IoT and Azure IoT can give you a competitive edge. Artificial Intelligence (AI) and Machine Learning (ML): AI and ML are revolutionizing industries from healthcare to finance. Proficiency in AI and ML algorithms, frameworks like TensorFlow and PyTorch, and the ability to build intelligent applications can lead to exciting career.

Tempo - Mobile access with GovernanceGabe Faraone

AI for Manufacturing (Machine Vision, Edge AI, Federated Learning)

byteLAKE

This is the extended presentation about byteLAKE's and Lenovo's Artificial Intelligence solutions for Manufacturing. Topics covered: AI strategy for manufacturing, Edge AI, Federated Learning and Machine Vision. It's the first publication in the upcoming series: AI for Manufacturing. Highlights: AI-assisted quality monitoring automation, AI-assisted production line monitoring and issues detection, AI-assisted measurements, Intelligent Cameras and many more. Reach out to us to learn more: welcome@byteLAKE.com. Presented during the world's first Federated Learning conference (Jun'20). Recording: https://youtu.be/IMqRIi45dDA Related articles: - Revolution in factories: Industry 4.0. https://medium.com/@marcrojek/revolution-in-factories-industry-4-0-conference-made-in-wroclaw-2020-translation-ae96e5e14d55 - Cognitive Automation helps where RPAs fall short. https://medium.com/@marcrojek/cognitive-automation-helps-where-rpas-fall-short-a1c5a01a66f8 - Machine Vision, how AI brings value to industries. https://medium.com/@marcrojek/machine-vision-how-ai-brings-value-to-industries-e6a4f8e56f42 Learn more: - https://www.bytelake.com/en/cognitive-services/ - https://www.lenovo.com/ai - https://federatedlearningconference.com/

XP2018 presentation for Phoenix Scrum User Group 2018

Thene Sheehy

Similar to AWS Innovate 2016 : Closing Keynote - Glenn Gore (20)

The network as a design material: Interaction 16 workshop

Learn, Teach, Build and Deploy IoT

Internet of things

How to Build Your Future in the Internet of Things Economy. Jennifer Riggins

Hac IT 4. Emerging Technologies (1).pdf

Read2 me a cloud based reading aid for the visually impaired

How would AI shape Future Integrations?

When Computers are Everywhere, Will we have superpowers.

Iot with azure | Yogesh Ojha | Global Azure BootCamp

The Myth of The Iron Triangle in Security

ITCamp 2018 - Magnus Mårtensson - Azure Global Application Perspectives

2016 iot summit_guy_bieber9

An exploration of geographic authentication scheme

Awareness on IoT Adoption for SMEs and Business Intelligence

Preventive Maintenance and IoE

The Top 10 IT Skills to Learn.pdf

Tempo - Mobile access with Governance

AI for Manufacturing (Machine Vision, Edge AI, Federated Learning)

XP2018 presentation for Phoenix Scrum User Group 2018

More from Amazon Web Services Korea

AWS Modern Infra with Storage Roadshow 2023 - Day 2

Amazon Web Services Korea

AWS Modern Infra with Storage Roadshow 2023 - Day 1

Amazon Web Services Korea

사례로 알아보는 Database Migration Service : 데이터베이스 및 데이터 이관, 통합, 분리, 분석의 도구 - 발표자: ...

Amazon Web Services Korea

Amazon DocumentDB - Architecture 및 Best Practice (Level 200) - 발표자: 장동훈, Sr. ...

Amazon Web Services Korea

Amazon Elasticache - Fully managed, Redis & Memcached Compatible Service (Lev...

Amazon Web Services Korea

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.

[Keynote] 슬기로운 AWS 데이터베이스 선택하기 - 발표자: 강민석, Korea Database SA Manager, WWSO, A...

Amazon Web Services Korea

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.

Demystify Streaming on AWS - 발표자: 이종혁, Sr Analytics Specialist, WWSO, AWS :::...

Amazon Web Services Korea

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.

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.

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.

Enabling Agility with Data Governance - 발표자: 김성연, Analytics Specialist, WWSO,...

Amazon Web Services Korea

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.

Amazon Redshift Deep Dive - Serverless, Streaming, ML, Auto Copy (New feature...

Amazon Web Services Korea

From Insights to Action, How to build and maintain a Data Driven Organization...

Amazon Web Services Korea

데이터는 혁신과 변혁의 토대입니다. 비즈니스 혁신을 이끄는 혁신은 특정 시점의 전략이나 솔루션이 아니라 성장을 위한 반복적이고 집단적인 계획입니다. 혁신에 이러한 접근 방식을 채택하는 기업은 전략과 비즈니스 문화에서 데이터를 기반으로 하는 경우가 많습니다. 이러한 접근 방식을 개발하려면 리더가 데이터를 조직의 자산처럼 취급하고 조직이 더 나은 비즈니스 성과를 위해 데이터를 활용할 수 있도록 권한을 부여해야 합니다. AWS와 Amazon이 어떻게 데이터와 분석을 활용하여 확장 가능한 비즈니스 효율성을 창출하고 고객의 가장 복잡한 문제를 해결하는 메커니즘을 개발했는지 알아보십시오.

[Keynote] Accelerating Business Outcomes with AWS Data - 발표자: Saeed Gharadagh...

Amazon Web Services Korea

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.

Amazon DynamoDB - Use Cases and Cost Optimization - 발표자: 이혁, DynamoDB Special...

Amazon Web Services Korea

LG전자 - Amazon Aurora 및 RDS 블루/그린 배포를 이용한 데이터베이스 업그레이드 안정성 확보 - 발표자: 이은경 책임, L...

Amazon Web Services Korea

LG ThinQ는 LG전자의 가전제품과 서비스를 아우르는 플랫폼 브랜드로서 앱 하나로 간편한 컨트롤, 똑똑한 케어, 스마트한 쇼핑까지 한번에 가능한 플랫폼입니다. ThinQ 플랫폼은 글로벌 서비스로 제공되고 있어, 작업 시간을 최소화하고, 서비스의 영향을 최소화 할 필요가 있었습니다. 따라서 DB 버전 업그레이드 작업 시 애플리케이션 배포가 필요없는 Blue/Green Deployment 방식은 최선의 선택이 되었습니다.

KB국민카드 - 클라우드 기반 분석 플랫폼 혁신 여정 - 발표자: 박창용 과장, 데이터전략본부, AI혁신부, KB카드│강병억, Soluti...

Amazon Web Services Korea

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.

코리안리 - 데이터 분석 플랫폼 구축 여정, 그 시작과 과제 - 발표자: 김석기 그룹장, 데이터비즈니스센터, 메가존클라우드 ::: AWS ...

Amazon Web Services Korea

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.

More from Amazon Web Services Korea (20)