1. 程式人生 > >AWS Case Studies: Big Data

AWS Case Studies: Big Data

Using AWS, the Stock Exchange of Thailand (SET) launched a comprehensive trading platform for startups in just eight months, ensuring compliance with strict regulatory guidelines and security protocols for personal data protection. SET acts as a center for securities trading in the country, offering a range of products and services to domestic and international customers. The enterprise uses Amazon EC2 for its online trading platforms, as well as Amazon RDS and Elastic Load Balancing for its AWS Cloud–native products. For its latest product launch, SET integrated Amazon S3 for file and document storage and AWS Key Management Service for use with blockchain technology.

相關推薦

AWS Case Studies: Big Data

Using AWS, the Stock Exchange of Thailand (SET) launched a comprehensive trading platform for startups in just eight months, ensuring c

AWS Case Study: Big Data at Nikkei

Atlas processes log data in the following way: 1. Data collection endpoint writes data to Amazon Simple Queue Service (Amazo

AWS Case Studies for Digital Marketing

As a three-man startup born in the AWS Cloud, CleverTap has gone from processing 50 million events per month to 55 billion in just 3.5 years, w

AWS Case Study: HG Data

HG Data’s founders started the company after selling their existing company, NOZA, a philanthropy database service, to a fundraising software f

AWS Case Studies: Analytics

Amazon Web Services is Hiring. Amazon Web Services (AWS) is a dynamic, growing business unit within Amazon.com. We are currently hiring So

AWS Case Study: Philips uses Redshift for Big Data

Amazon Web Services is Hiring. Amazon Web Services (AWS) is a dynamic, growing business unit within Amazon.com. We are currently hiring So

time bushfire alerting with Complex Event Processing in Apache Flink on Amazon EMR and IoT sensor network | AWS Big Data Blog

Bushfires are frequent events in the warmer months of the year when the climate is hot and dry. Countries like Australia and the United States are

premises data stores using AWS Glue | AWS Big Data Blog

AWS Glue is a fully managed ETL (extract, transform, and load) service to catalog your data, clean it, enrich it, and move it reliably between var

Using Presto in our Big Data Platform on AWS

Using Presto in our Big Data Platform on AWSby Eva Tse, Zhenxiao Luo, Nezih Yigitbasi @ Big Data Platform teamAt Netflix, the Big Data Platform team is res

AWS Big Data and Analytics Sessions at Re:Invent 2018

re:Invent 2018 is around the corner! This year, data and analytics tracks are bigger than ever. This blog post highlights the data and ana

AWS Marketplace customer case studies all

The healthcare division of Philips provides solutions for diagnostic, treatment and preventative care in the U.S. The division uses data

customer case studies in the AWS cloud

Deloitte adopted an infrastructure-as-code approach to reduce deployment times for its ConvergeHEALTH Miner solution, which enables orga

Informatica Big Data Management on AWS

This Quick Start deploys Informatica Big Data Management automatically into an AWS Cloud configuration of your choice. Big Data Managemen

Time Inc. Secures Customer Data on AWS Case Study

O’Sullivan says a lot of his peers at enterprise organizations remain skeptical about—or simply won’t discuss—cloud security. His response is t

AWS Case Study: NASA/JPL's Desert Research and Training Studies

In addition to its support for the ATHLETE robot, Polyphony has been delivered to the Mars Science Laboratory to serve as one of the primary da

AWS Certified Big Data

Amazon Web Services is Hiring. Amazon Web Services (AWS) is a dynamic, growing business unit within Amazon.com. We are currently hiring So

AWS Big Data Partner Solutions

Large organisations need to gain insights from their data to understand customer behavior, operational efficiency, and uncover new busi

論文: Data-Driven Evolutionary Optimization: An Overview and case studies(1) 資料驅動概念,文章結構,大數分類

宣告: 只作為自己閱讀論文的相關筆記記錄,理解有誤的地方還望指正  論文下載連結: 概念:資料驅動? Solving evolutionary optimization problems driven by data collected in simulation

論文: Data-Driven Evolutionary Optimization : An Overview and Case Studies(3) 總結部分以及自己的想法

    感悟:     一篇論文看完了,就覺得行業資料的而獲取以及最初的一些對資料的操作,無論是預處理,資料探勘,還是人為的製造一些資料進行輔助模型的優化,都有很重要的作用,而且也讓我覺得這個EA其實再再應用的時候是一個跨度很大的,你需要綜合各種資訊,各行業各領域的

翻譯-In-Stream Big Data Processing 流式大數據處理

rto 風格 需要 最重要的 建立 reference 處理器 web 用戶id 相當長一段時間以來,大數據社區已經普遍認識到了批量數據處理的不足。很多應用都對實時查詢和流式處理產生了迫切需求。最近幾年,在這個理念的推動下,催生出了一系列解決方案,Twitter Storm