Relational databases are a cornerstone of the enterprise IT landscape, powering business-critical applications of many kinds. Though they have been around for a while, current commercial relational databases have lagged behind in innovation. Amazon Aurora, a managed database service built for the cloud, is intended to change that. It targets the high-performance needs of business-critical applications with an emphasis on cost-effectiveness. In this session, we will look into how Aurora fits the needs of applications built and bought by enterprises to power their business. You will learn about the overall architecture, capabilities, and cost-effectiveness of Aurora, comparing it to current commercial database offerings. We will explore best practices for enterprises adopting Aurora for existing and new workloads, as well as strategies, tools, and techniques for migrating existing databases to Aurora. You will also hear from Expedia, one of world’s leading travel companies on how they are using Amazon Aurora to power application with high performance database needs.
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.
Relational databases are a cornerstone of the enterprise IT landscape, powering business-critical applications of many kinds. Though they have been around for a while, current commercial relational databases have lagged behind in innovation. Amazon Aurora, a managed database service built for the cloud, is intended to change that. It targets the high-performance needs of business-critical applications with an emphasis on cost-effectiveness. In this session, we will look into how Aurora fits the needs of applications built and bought by enterprises to power their business. You will learn about the overall architecture, capabilities, and cost-effectiveness of Aurora, comparing it to current commercial database offerings. We will explore best practices for enterprises adopting Aurora for existing and new workloads, as well as strategies, tools, and techniques for migrating existing databases to Aurora. You will also hear from Expedia, one of world’s leading travel companies on how they are using Amazon Aurora to power application with high performance database needs.
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.
Migrating your Databases to Aurora - AWS April 2016 Webinar Series Amazon Web Services
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Migrating to Amazon Aurora from other database engine can help boost performance, reliability and availability of your databases while substantially reducing the total cost of ownership (TCO).
This webinar will introduce you to Amazon Aurora and focus on different options available for migration from your existing commercial and open source databases to Amazon Aurora. We will walk you through the entire process of migrating your existing databases to Amazon Aurora using AWS Database Migration Service
Learning Objectives:
• Learn about Amazon Aurora
• How Amazon Aurora performance, reliability availability compare to open source and commercial databases
• Key aspects of database migration
• Options available to migrate MySQL Databases from on-premises, EC2 and RDS to Amazon Aurora
• How to migrate Open Source and Commercial databases to Amazon Aurora using AWS Database Migration Service
Interpretación previa de la escena del crimen.shark232
Este documento resume los protocolos y procedimientos para la interpretación previa de la escena del suceso de un crimen. Explica que cuando se comete un delito, quedan pruebas en el lugar que vinculan al perpetrador, y siguiendo los protocolos adecuados de recolección de evidencia, las autoridades podrán identificarlo. Detalla los pasos para establecer un perímetro y levantar indicios como sangre, fluidos o residuos, protegiendo a los peritos. Finalmente, explica cómo los expertos analizan la escena para vincular a
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
Shahram Ghanbari Chelaresi has over 15 years of experience in health promotion and management roles. He has a medical doctor degree from Mashhad University of Medicine and certificates in health quality management and office management. He has worked as a health manager, health inspector, university lecturer, medical practitioner, and inventory control associate. He has strong leadership, planning, documentation, problem-solving, and teamwork skills. He is passionate about health promotion and empowering individuals and organizations to make healthy choices.
Migrating your Databases to Aurora - AWS April 2016 Webinar Series Amazon Web Services
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Migrating to Amazon Aurora from other database engine can help boost performance, reliability and availability of your databases while substantially reducing the total cost of ownership (TCO).
This webinar will introduce you to Amazon Aurora and focus on different options available for migration from your existing commercial and open source databases to Amazon Aurora. We will walk you through the entire process of migrating your existing databases to Amazon Aurora using AWS Database Migration Service
Learning Objectives:
• Learn about Amazon Aurora
• How Amazon Aurora performance, reliability availability compare to open source and commercial databases
• Key aspects of database migration
• Options available to migrate MySQL Databases from on-premises, EC2 and RDS to Amazon Aurora
• How to migrate Open Source and Commercial databases to Amazon Aurora using AWS Database Migration Service
Interpretación previa de la escena del crimen.shark232
Este documento resume los protocolos y procedimientos para la interpretación previa de la escena del suceso de un crimen. Explica que cuando se comete un delito, quedan pruebas en el lugar que vinculan al perpetrador, y siguiendo los protocolos adecuados de recolección de evidencia, las autoridades podrán identificarlo. Detalla los pasos para establecer un perímetro y levantar indicios como sangre, fluidos o residuos, protegiendo a los peritos. Finalmente, explica cómo los expertos analizan la escena para vincular a
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
Shahram Ghanbari Chelaresi has over 15 years of experience in health promotion and management roles. He has a medical doctor degree from Mashhad University of Medicine and certificates in health quality management and office management. He has worked as a health manager, health inspector, university lecturer, medical practitioner, and inventory control associate. He has strong leadership, planning, documentation, problem-solving, and teamwork skills. He is passionate about health promotion and empowering individuals and organizations to make healthy choices.