Oracle RDBMS is the most widely used of the commercial relational databases. We’ll look at how to run Oracle on the AWS Cloud, with examples of organizations using it.
Amazon EC2 Instances, Featuring Performance Optimisation Best PracticesAmazon Web Services
This document provides an overview of Amazon EC2. It discusses the different types of EC2 instances optimized for various workloads like compute, memory, storage and graphics. It also covers key EC2 services like Elastic Block Store, Virtual Private Cloud, Placement Groups, Elastic Load Balancing and Auto Scaling. The document reviews EC2 purchasing options including On-Demand, Reserved and Spot instances. It emphasizes optimizing costs by combining these options based on workload requirements.
Deep Dive on Amazon EBS Elastic Volumes - March 2017 AWS Online Tech TalksAmazon Web Services
This document provides an overview of Amazon Elastic Block Storage (EBS) elastic volumes, which allow customers to modify existing EBS volumes non-disruptively. The key capabilities include increasing volume size, changing volume types, and increasing or decreasing provisioned IOPS on io1 volumes. The modifications can be made using the AWS Management Console, command line interface, or SDKs. During a modification, volume performance is between the original and target characteristics. Customers should monitor the modification state and may need to extend the file system if increasing volume size. EBS elastic volumes provide an easy way to modify volumes without downtime or performance impact.
What to Expect From Oracle database 19cMaria Colgan
The Oracle Database has recently switched to an annual release model. Oracle Database 19c is only the second release in this new model. So what can you expect from the latest version of the Oracle Database? This presentation explains how Oracle Database 19c is really 12.2.0.3 the terminal release of the 12.2 family and the new features you can find in this release.
by Joyjeet Banerjee, Solutions Architect, AWS
Amazon Athena is a new serverless query service that makes it easy to analyze data in Amazon S3, using standard SQL. With Athena, there is no infrastructure to setup or manage, and you can start analyzing your data immediately. You don’t even need to load your data into Athena, it works directly with data stored in S3. Level 200
In this session, we will show you how easy it is to start querying your data stored in Amazon S3, with Amazon Athena. First we will use Athena to create the schema for data already in S3. Then, we will demonstrate how you can run interactive queries through the built-in query editor. We will provide best practices and use cases for Athena. Then, we will talk about supported queries, data formats, and strategies to save costs when querying data with Athena.
202201 AWS Black Belt Online Seminar Apache Spark Performnace Tuning for AWS ...Amazon Web Services Japan
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
This webinar is to discuss how AWS Database Migration Service helps you migrate local database to the AWS Cloud environment, quickly and securely, and make sure the source database remains fully operational during the migration, minimizing downtime to applications that reply on the database. You will also learn how to lay down the plan for database migration for your company.
This is a level 200 webinar that covers introduction to AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT), tips to swiftly migrate existing databases to cloud, best practices of database management on cloud plus a number of successful use cases.
Migrating Databases to the Cloud with AWS Database Migration Service (DAT207)...Amazon Web Services
Learn how to convert and migrate your relational databases, nonrelational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help with homogeneous migrations as well as migrations between different database engines, such as Oracle or SQL Server, to Amazon Aurora. Hear from Verizon about how they intend to migrate critical databases to Amazon Aurora with PostgreSQL compatibility from their current on-premises Oracle databases, and learn how they intend to deal with challenges such as conversion of legacy code and complex data types, supporting business resiliency, and maintaining data synchronization during the transition phase.
Amazon EC2 Instances, Featuring Performance Optimisation Best PracticesAmazon Web Services
This document provides an overview of Amazon EC2. It discusses the different types of EC2 instances optimized for various workloads like compute, memory, storage and graphics. It also covers key EC2 services like Elastic Block Store, Virtual Private Cloud, Placement Groups, Elastic Load Balancing and Auto Scaling. The document reviews EC2 purchasing options including On-Demand, Reserved and Spot instances. It emphasizes optimizing costs by combining these options based on workload requirements.
Deep Dive on Amazon EBS Elastic Volumes - March 2017 AWS Online Tech TalksAmazon Web Services
This document provides an overview of Amazon Elastic Block Storage (EBS) elastic volumes, which allow customers to modify existing EBS volumes non-disruptively. The key capabilities include increasing volume size, changing volume types, and increasing or decreasing provisioned IOPS on io1 volumes. The modifications can be made using the AWS Management Console, command line interface, or SDKs. During a modification, volume performance is between the original and target characteristics. Customers should monitor the modification state and may need to extend the file system if increasing volume size. EBS elastic volumes provide an easy way to modify volumes without downtime or performance impact.
What to Expect From Oracle database 19cMaria Colgan
The Oracle Database has recently switched to an annual release model. Oracle Database 19c is only the second release in this new model. So what can you expect from the latest version of the Oracle Database? This presentation explains how Oracle Database 19c is really 12.2.0.3 the terminal release of the 12.2 family and the new features you can find in this release.
by Joyjeet Banerjee, Solutions Architect, AWS
Amazon Athena is a new serverless query service that makes it easy to analyze data in Amazon S3, using standard SQL. With Athena, there is no infrastructure to setup or manage, and you can start analyzing your data immediately. You don’t even need to load your data into Athena, it works directly with data stored in S3. Level 200
In this session, we will show you how easy it is to start querying your data stored in Amazon S3, with Amazon Athena. First we will use Athena to create the schema for data already in S3. Then, we will demonstrate how you can run interactive queries through the built-in query editor. We will provide best practices and use cases for Athena. Then, we will talk about supported queries, data formats, and strategies to save costs when querying data with Athena.
202201 AWS Black Belt Online Seminar Apache Spark Performnace Tuning for AWS ...Amazon Web Services Japan
AWS Black Belt Online Seminarの最新コンテンツ: https://aws.amazon.com/jp/aws-jp-introduction/#new
過去に開催されたオンラインセミナーのコンテンツ一覧: https://aws.amazon.com/jp/aws-jp-introduction/aws-jp-webinar-service-cut/
This webinar is to discuss how AWS Database Migration Service helps you migrate local database to the AWS Cloud environment, quickly and securely, and make sure the source database remains fully operational during the migration, minimizing downtime to applications that reply on the database. You will also learn how to lay down the plan for database migration for your company.
This is a level 200 webinar that covers introduction to AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT), tips to swiftly migrate existing databases to cloud, best practices of database management on cloud plus a number of successful use cases.
Migrating Databases to the Cloud with AWS Database Migration Service (DAT207)...Amazon Web Services
Learn how to convert and migrate your relational databases, nonrelational databases, and data warehouses to the cloud. AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help with homogeneous migrations as well as migrations between different database engines, such as Oracle or SQL Server, to Amazon Aurora. Hear from Verizon about how they intend to migrate critical databases to Amazon Aurora with PostgreSQL compatibility from their current on-premises Oracle databases, and learn how they intend to deal with challenges such as conversion of legacy code and complex data types, supporting business resiliency, and maintaining data synchronization during the transition phase.
Amazon Relational Database Service (RDS) provides a managed relational database in the cloud. It supports several database engines including Amazon Aurora, MariaDB, Microsoft SQL Server, MySQL, Oracle, and PostgreSQL. Key features of RDS include automated backups, manual snapshots, multi-AZ deployment for high availability, read replicas for scaling reads, and encryption options. DynamoDB is AWS's key-value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed NoSQL database and supports both document and key-value data models. Redshift is a data warehouse service and is used for analytics workloads requiring fast queries against large datasets.
Migrating Oracle database to PostgreSQLUmair Mansoob
This document discusses migrating an Oracle database to PostgreSQL. It covers initial discovery of the Oracle database features and data types used. A migration assessment would analyze data type mapping, additional PostgreSQL features, and testing requirements. Challenges include porting PL/SQL code, minimizing downtime during migration, and comprehensive testing of applications on the new PostgreSQL platform. Migrating large data sets and ensuring performance for critical applications are also challenges.
This document compares data warehouses and data lakes. A data warehouse stores transformed and structured data to enable generating reports for strategic decision making. A data lake stores vast amounts of raw data in its native format until needed. Major differences are that data warehouses remove insignificant data while data lakes retain all data types. Data lakes also empower exploring data in novel ways. Key benefits of data lakes over data warehouses include greater scalability, supporting more data sources and advanced analytics, and deferring schema development until a business need is identified.
Oracle Integration Cloud (OIC) is a solution that enables simple and rapid data integration with SaaS. It provides integration capabilities including API management, process automation, integration monitoring and hybrid integration between cloud and on-premises systems. OIC uses adapters and low-code visual development tools to integrate SaaS applications, databases, on-premises systems and APIs. It supports common integration patterns and protocols. Pricing is based on the number of messages processed per hour with monthly or pay-as-you-go options.
Enterprise Manager 13c provides optimized, efficient, and integrated cloud stack management capabilities. It offers improved monitoring, infrastructure management, and hybrid cloud management features. These include "always on" monitoring, unified hardware and software management under a single console, and enhanced capabilities for managing databases, middleware, and engineered systems. The presentation provides demonstrations of the user interface, incident management, database management, job scheduling, and fusion middleware management functions.
Amazon RDS makes it easy to set up, operate, and scale Oracle Database deployments in the cloud. In this webinar, we'll discuss practical ways of migrating applications to Amazon RDS for Oracle. Customer case studies will illustrate how customers moved to Amazon RDS for Oracle and how they benefited.
In part one you will learn about benefits of moving Oracle Database Workloads to AWS, licensing and key aspects to consider. Part two is about understanding how to execute migrations, key success factors, and demonstration.
This document discusses migrating databases from Oracle to PostgreSQL using AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT). It provides an overview of DMS and SCT, the migration process which involves assessing the database with SCT and then using DMS to replicate the data, and resources available to customers for both services. It also provides background on PostgreSQL, describing it as an open-source, object-relational database management system.
PL/SQL developers (as well as DBAs and many others involved) typically are uncertain what SOA means to them. They feel overwhelmed by a avalanche of acronyms. Yet they see it coming and instead of being surprised or bypassed, this session allows them to start participating and benefiting themselves. This session introduces SOA and the Oracle SOA Suite 11g to the realm of the PL/SQL developer - from which it sometimes seems so far removed. What are the key SOA concepts and objectives - what's the buzz about? What is at the heart of SOA Suite 11g: Composite Applications, BPEL PM and the Mediator.
The presentation demonstrates how SOA Services can be leveraged from the database – from Triggers and PL/SQL applications and how the database can publish events to the Event Delivery Network. It demonstrates how the SOA infrastructure can access the database, primarily using the Database Adapter – and how database developers can be instrumental in efficiently doing so. It concludes with some hints for applying SOA concepts for 'normal' database development.
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 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.
All of the Performance Tuning Features in Oracle SQL DeveloperJeff Smith
An overview of all of the performance tuning instrumentation, tools, and features in Oracle SQL Developer. Get help making those applications and their queries more performant.
The document discusses Oracle Autonomous Database and provides an agenda for a presentation. The agenda includes:
1. An overview of what Autonomous Database is and how it provides self-driving, self-securing, and self-repairing capabilities.
2. Key use cases for Autonomous Transaction Processing such as for transactional applications and mixed workloads.
3. How Autonomous Database can be used with microservices architectures.
4. Use cases for Autonomous Data Warehouse such as for data marts, warehouses, sandboxes, and machine learning.
5. How Autonomous Data Warehouse integrates with Oracle Analytics Cloud.
6. A demonstration of getting hands-on with
Oracle GoldenGate is the leading real-time data integration software provider in the industry - customers include 3 of the top 5 commercial banks, 3 of the top 3 busiest ATM networks, and 4 of the top 5 telecommunications providers.
Oracle GoldenGate moves transactional data in real-time across heterogeneous database, hardware and operating systems with minimal impact. The software platform captures, routes, and delivers data in real time, enabling organizations to maintain continuous uptime for critical applications during planned and unplanned outages.
Additionally, it moves data from transaction processing environments to read-only reporting databases and analytical applications for accurate, timely reporting and improved business intelligence for the enterprise.
Presented the "A Cloud Journey - Move to the Oracle Cloud" on behalf of Ricardo Gonzalez during Bulgarian Oracle User Group Spring Conference 2019. This presentation discusses various methods on how to migrate to the Oracle Cloud and provides recommendations as to which tool to use (and where to find it) especially assuming that Zero Downtime Migration is desired, for which the new Zero Downtime Migration tool is described and discussed in detail. More information: http://www.oracle.com/goto/move
The document describes a presentation on Amazon Athena, a serverless interactive query service that allows users to analyze data directly from Amazon S3 using standard SQL. The presentation will introduce Athena and demonstrate how it can be used to query data in S3 without having to load it into a database first. It will also discuss how Athena uses Presto and the Glue Data Catalog under the hood and show some customer use cases for log analysis, ETL workflows, and analytics reporting using Athena with other AWS services.
The document discusses options for running Oracle and SQL Server databases on AWS. It describes the differences between using Amazon RDS, which provides a managed service, versus running the databases on EC2 instances, which provides more control. Key features of RDS like licensing models, versions supported, high availability and security options are summarized. Storage and networking best practices for optimizing database performance when using EC2 instances are also covered.
Relational Database Services on AWS - Bill Baldwin, Gareth EagarAmazon Web Services
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
Speakers:
Bill Baldwin - Global Enterprise Support Lead, AWS Enterprise Support
Gareth Eagar - Solutions Architect, AWS Solutions Architect
Amazon Relational Database Service (RDS) provides a managed relational database in the cloud. It supports several database engines including Amazon Aurora, MariaDB, Microsoft SQL Server, MySQL, Oracle, and PostgreSQL. Key features of RDS include automated backups, manual snapshots, multi-AZ deployment for high availability, read replicas for scaling reads, and encryption options. DynamoDB is AWS's key-value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed NoSQL database and supports both document and key-value data models. Redshift is a data warehouse service and is used for analytics workloads requiring fast queries against large datasets.
Migrating Oracle database to PostgreSQLUmair Mansoob
This document discusses migrating an Oracle database to PostgreSQL. It covers initial discovery of the Oracle database features and data types used. A migration assessment would analyze data type mapping, additional PostgreSQL features, and testing requirements. Challenges include porting PL/SQL code, minimizing downtime during migration, and comprehensive testing of applications on the new PostgreSQL platform. Migrating large data sets and ensuring performance for critical applications are also challenges.
This document compares data warehouses and data lakes. A data warehouse stores transformed and structured data to enable generating reports for strategic decision making. A data lake stores vast amounts of raw data in its native format until needed. Major differences are that data warehouses remove insignificant data while data lakes retain all data types. Data lakes also empower exploring data in novel ways. Key benefits of data lakes over data warehouses include greater scalability, supporting more data sources and advanced analytics, and deferring schema development until a business need is identified.
Oracle Integration Cloud (OIC) is a solution that enables simple and rapid data integration with SaaS. It provides integration capabilities including API management, process automation, integration monitoring and hybrid integration between cloud and on-premises systems. OIC uses adapters and low-code visual development tools to integrate SaaS applications, databases, on-premises systems and APIs. It supports common integration patterns and protocols. Pricing is based on the number of messages processed per hour with monthly or pay-as-you-go options.
Enterprise Manager 13c provides optimized, efficient, and integrated cloud stack management capabilities. It offers improved monitoring, infrastructure management, and hybrid cloud management features. These include "always on" monitoring, unified hardware and software management under a single console, and enhanced capabilities for managing databases, middleware, and engineered systems. The presentation provides demonstrations of the user interface, incident management, database management, job scheduling, and fusion middleware management functions.
Amazon RDS makes it easy to set up, operate, and scale Oracle Database deployments in the cloud. In this webinar, we'll discuss practical ways of migrating applications to Amazon RDS for Oracle. Customer case studies will illustrate how customers moved to Amazon RDS for Oracle and how they benefited.
In part one you will learn about benefits of moving Oracle Database Workloads to AWS, licensing and key aspects to consider. Part two is about understanding how to execute migrations, key success factors, and demonstration.
This document discusses migrating databases from Oracle to PostgreSQL using AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT). It provides an overview of DMS and SCT, the migration process which involves assessing the database with SCT and then using DMS to replicate the data, and resources available to customers for both services. It also provides background on PostgreSQL, describing it as an open-source, object-relational database management system.
PL/SQL developers (as well as DBAs and many others involved) typically are uncertain what SOA means to them. They feel overwhelmed by a avalanche of acronyms. Yet they see it coming and instead of being surprised or bypassed, this session allows them to start participating and benefiting themselves. This session introduces SOA and the Oracle SOA Suite 11g to the realm of the PL/SQL developer - from which it sometimes seems so far removed. What are the key SOA concepts and objectives - what's the buzz about? What is at the heart of SOA Suite 11g: Composite Applications, BPEL PM and the Mediator.
The presentation demonstrates how SOA Services can be leveraged from the database – from Triggers and PL/SQL applications and how the database can publish events to the Event Delivery Network. It demonstrates how the SOA infrastructure can access the database, primarily using the Database Adapter – and how database developers can be instrumental in efficiently doing so. It concludes with some hints for applying SOA concepts for 'normal' database development.
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 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.
All of the Performance Tuning Features in Oracle SQL DeveloperJeff Smith
An overview of all of the performance tuning instrumentation, tools, and features in Oracle SQL Developer. Get help making those applications and their queries more performant.
The document discusses Oracle Autonomous Database and provides an agenda for a presentation. The agenda includes:
1. An overview of what Autonomous Database is and how it provides self-driving, self-securing, and self-repairing capabilities.
2. Key use cases for Autonomous Transaction Processing such as for transactional applications and mixed workloads.
3. How Autonomous Database can be used with microservices architectures.
4. Use cases for Autonomous Data Warehouse such as for data marts, warehouses, sandboxes, and machine learning.
5. How Autonomous Data Warehouse integrates with Oracle Analytics Cloud.
6. A demonstration of getting hands-on with
Oracle GoldenGate is the leading real-time data integration software provider in the industry - customers include 3 of the top 5 commercial banks, 3 of the top 3 busiest ATM networks, and 4 of the top 5 telecommunications providers.
Oracle GoldenGate moves transactional data in real-time across heterogeneous database, hardware and operating systems with minimal impact. The software platform captures, routes, and delivers data in real time, enabling organizations to maintain continuous uptime for critical applications during planned and unplanned outages.
Additionally, it moves data from transaction processing environments to read-only reporting databases and analytical applications for accurate, timely reporting and improved business intelligence for the enterprise.
Presented the "A Cloud Journey - Move to the Oracle Cloud" on behalf of Ricardo Gonzalez during Bulgarian Oracle User Group Spring Conference 2019. This presentation discusses various methods on how to migrate to the Oracle Cloud and provides recommendations as to which tool to use (and where to find it) especially assuming that Zero Downtime Migration is desired, for which the new Zero Downtime Migration tool is described and discussed in detail. More information: http://www.oracle.com/goto/move
The document describes a presentation on Amazon Athena, a serverless interactive query service that allows users to analyze data directly from Amazon S3 using standard SQL. The presentation will introduce Athena and demonstrate how it can be used to query data in S3 without having to load it into a database first. It will also discuss how Athena uses Presto and the Glue Data Catalog under the hood and show some customer use cases for log analysis, ETL workflows, and analytics reporting using Athena with other AWS services.
The document discusses options for running Oracle and SQL Server databases on AWS. It describes the differences between using Amazon RDS, which provides a managed service, versus running the databases on EC2 instances, which provides more control. Key features of RDS like licensing models, versions supported, high availability and security options are summarized. Storage and networking best practices for optimizing database performance when using EC2 instances are also covered.
Relational Database Services on AWS - Bill Baldwin, Gareth EagarAmazon Web Services
Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. We’ll look at what RDS does (and does not) do to manage the “muck” of database operations.
Speakers:
Bill Baldwin - Global Enterprise Support Lead, AWS Enterprise Support
Gareth Eagar - Solutions Architect, AWS Solutions Architect
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. In this session we'll look at open commercial databases supported by Amazon RDS.
Speakers:
Roger Dahlstrom - Solutions Architect, AWS
Peter Dachnowicz - Sr. Technical Account Manager, AWS
Database Week at the San Francisco Loft
Oracle and SQL Server on the Cloud
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. In this session we'll look at open commercial databases supported by Amazon RDS.
Level: 200
Speakers:
Joyjeet Banerjee - Enterprise Solutions Architect, AWS
Vishwajit Tigadi - Manager, Strategic Accounts, AWS
Best Practices for Running Oracle Databases on Amazon RDS (DAT317) - AWS re:I...Amazon Web Services
Amazon Relational Database Service (Amazon RDS) continues to be a popular choice for Oracle DBAs moving new and legacy workloads to the cloud. In this session, we discuss how Amazon RDS for Oracle helps DBAs focus their time where it matters most. We cover recent RDS Oracle features, and we go deep on key functionality that enables license optimization, performance, and high availability for Oracle databases. We also hear directly from an AWS customer about their journey to Amazon RDS and the best practices that helped make their move successful.
by Darin Briskman, Technical Evangelist, AWS
Oracle RDBMS is the most widely used of the commercial relational databases. We’ll look at how to run Oracle on the AWS Cloud, with examples of organizations using it.
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"
This document discusses databases in the cloud and provides an overview of Amazon's database services including Amazon RDS, Aurora, Redshift, and data lakes. It highlights key features such as automation, scalability, high availability, backups and security. Examples are given of how these services can help simplify database management and reduce costs compared to self-managed databases.
10 Hacks for Optimizing MySQL in the Cloud - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to optimize your MySQL databases for high availability, performance, and disaster resilience using RDS
- Learn how to implement a well-designed and tested DR strategy using RDS MySQL Multi-AZ, Read Replicas, and more
- Learn how to utilize AWS Global Infrastructure benefits to build a well-architected MySQL database framework
This document discusses moving commercial databases to Amazon Relational Database Service (RDS). It provides an overview of Amazon RDS and options for deploying SQL Server on AWS, including using Amazon RDS which provides a managed experience with high availability, security, performance and scaling capabilities. It also discusses migrating data to and from Amazon RDS and shares a case study from New World Development Co. Ltd.
When Fujirebio Diagnostics, a leading producer of in vitro diagnostics, shifted to virtualization and the cloud, it wanted to replace its costly, unreliable, and cumbersome backup solution. Fujirebio turned to Amazon Web Services (AWS) and Rubrik for a more modern solution. The company used Rubrik Cloud Data Management to eliminate complex tape backup and archive mission critical production systems on AWS, as well as extend on-site storage capacity. The solution automates backup, recovery, and archival on AWS, helping the company drive operational efficiency and resilience. In this webinar, you will learn how Fujirebio Diagnostics used AWS and Rubrik to simplify data protection, achieve fast recovery, reduce management time, and lower total cost of ownership by 75 percent.
AWS Speaker: Mike Ruiz, Partner Solutions Architect
Rubrik Speakers: Kenneth Hui, Technical Marketing Engineer & Mark Haus, Sales Engineer
by Darin Briskman, Technical Evangelist, AWS
Microsoft SQL Server is a commonly-used commercial relational database, especially for organizations that use Microsoft development tools. We’ll look at how to run SQL Server on the AWS Cloud, with examples of organizations using it.
The document provides an overview of using open source databases on Amazon RDS. It discusses best practices for MySQL/MariaDB and PostgreSQL databases on RDS, including replication, storage, monitoring, performance tuning, and migration strategies. Specific tips are provided for loading data, optimizing queries, and using tools like Performance Insights. Supported versions and features of RDS for MySQL, MariaDB and PostgreSQL are also reviewed.
Running Oracle Databases on Amazon RDS - DAT313 - re:Invent 2017Amazon Web Services
Amazon Relational Database Service (Amazon RDS) simplifies setup, operation, and management of databases in the cloud. In this session, we will explore Amazon RDS features and best practices that offer graceful migration, high performance, elastic scaling, and high availability for Oracle databases. You will also learn from the Chief Architect for Intuit’s Small Business Division how the QuickBooks Online team is using Amazon RDS for Oracle to scale the world's largest online accounting platform.
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.
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.
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.
Discover & Migrate at Scale with AWS Migration Hub & Application Discovery Se...Amazon Web Services
Over the course of hundreds of mass migrations with our enterprise customers, we've seen migrations of one or more data centers into AWS, and the common theme is that tools are crucial for reliable and fast discovery and migration. In this workshop, you get hands on experience using AWS migration tools like AWS Migration Hub and Application Discovery Service to supercharge planning and execution of your migration and move more servers and databases in less time. Learn how to discover existing servers, analyze server dependencies, group your resources into applications, and automate migrations using AWS and partner migration tools.
What’s New in Amazon RDS for Open-Source and Commercial Databases: Amazon Web Services
This document summarizes Amazon RDS features and roadmap items. It discusses how RDS provides a fully managed database service, supporting multiple open source and commercial database engines. Key features highlighted include high availability, automated backups, cross-region read replicas, encryption, and integration with other AWS services. Upcoming improvements discussed are RDS Performance Insights, larger storage volumes, new database versions, and expanded compliance capabilities. The presentation concludes with an invitation for questions.
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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
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.