This is the general what's-new session for Amazon DynamoDB in which we cover newly announced features and provide an end-to-end view of recent innovations. We also share some customer success stories and use cases. Come to this session to learn all about what’s new for DynamoDB.
Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336) -...Amazon Web Services
Amazon Aurora Serverless is an on-demand, autoscaling configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales up or down capacity based on your application's needs. It enables you to run your database in the cloud without managing any database instances. Aurora Serverless is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. In this session, we explore these use cases, take a look under the hood, and delve into the future of serverless databases. We also hear a case study from a customer building new functionality on top of Aurora Serverless.
Deep Dive on Amazon Elastic File System (Amazon EFS) (STG301-R1) - AWS re:Inv...Amazon Web Services
In this session, we explore the world's first cloud-scale file system and its targeted use cases. Learn about Amazon Elastic File System (Amazon EFS), its features and benefits, how to identify applications that are appropriate to use with Amazon EFS, and details about its performance and security models. The target audience is security administrators, application developers, and application owners who operate or build file-based applications.
Using Performance Insights to Optimize Database Performance (DAT402) - AWS re...Amazon Web Services
Despite the importance of cloud databases as a core foundation for applications, many businesses face challenges in identifying database performance issues. Visibility into database performance is difficult due to a wide range of incomplete tools that can be difficult to install, configure, and maintain. While these tools may provide a wide range of statistics, they lack a standard methodology for analyzing the statistics to identify performance problems. In this session, learn how Amazon Relational Database Service (Amazon RDS) changes this by providing database performance monitoring that is automatically configured, easy to use, and based on a clear actionable methodology.
Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...Amazon Web Services
"Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop/Spark to AWS in order to save costs, increase availability, and improve performance. In this session, AWS customers Airbnb and Guardian Life discuss how they migrated their workload to Amazon EMR. This session focuses on key motivations to move to the cloud. It details key architectural changes and the benefits of migrating Hadoop/Spark workloads to the cloud.
"
Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...Amazon Web Services
Modernizing your data warehouse can unlock new insights while substantially improving query and data load performance, increasing scalability, and saving costs. In this chalk talk, we discuss how to migrate your Netezza data warehouse to Amazon Redshift and achieve agility and faster time to insight while reducing costs. Financial Engines joins us to share their migration journey, after which they were able to improve performance by 10x and reduce cost by 1/3 for a saving of ~$100K annually.
Migrating Open Source Databases from Amazon EC2 to Aurora MySQL (DAT340) - AW...Amazon Web Services
Running your open source database on Amazon EC2 is convenient, but can it be easier, more scalable, and more cost effective? You bet it can. In this session, learn how to effectively and efficiently migrate a read/write-heavy MySQL database from Amazon EC2 to Amazon Aurora with zero downtime, increased availability from 99.95% to 99.999%, and reduction of cost by 5X.
SQL Server to Amazon Aurora Migration, Step by Step (DAT405) - AWS re:Invent ...Amazon Web Services
In this session, learn best practices and tips for migrating SQL Server databases to Amazon Aurora. We use a combination of automated tools such as AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), manual procedures, and DBA know-how. We take questions on Amazon Aurora architecture and capabilities, how they compare to Microsoft technologies, and how to migrate core SQL Server features, capabilities, and schema objects to their AWS equivalent counterparts.
One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...Amazon Web Services
One of the benefits of having a data lake is that same data can be consumed by multi-tenant groups—an efficient way to share a persistent Amazon EMR cluster. The same business data can be safely used for many different analytics and data processing needs. In this session, we discuss steps to make an Amazon EMR cluster multi-tenant for analytics, best practices for a multi-tenant cluster, and solutions to common challenges. We also address the security and governance aspects of a multi-tenant Amazon EMR cluster.
Aurora Serverless: Scalable, Cost-Effective Application Deployment (DAT336) -...Amazon Web Services
Amazon Aurora Serverless is an on-demand, autoscaling configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales up or down capacity based on your application's needs. It enables you to run your database in the cloud without managing any database instances. Aurora Serverless is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. In this session, we explore these use cases, take a look under the hood, and delve into the future of serverless databases. We also hear a case study from a customer building new functionality on top of Aurora Serverless.
Deep Dive on Amazon Elastic File System (Amazon EFS) (STG301-R1) - AWS re:Inv...Amazon Web Services
In this session, we explore the world's first cloud-scale file system and its targeted use cases. Learn about Amazon Elastic File System (Amazon EFS), its features and benefits, how to identify applications that are appropriate to use with Amazon EFS, and details about its performance and security models. The target audience is security administrators, application developers, and application owners who operate or build file-based applications.
Using Performance Insights to Optimize Database Performance (DAT402) - AWS re...Amazon Web Services
Despite the importance of cloud databases as a core foundation for applications, many businesses face challenges in identifying database performance issues. Visibility into database performance is difficult due to a wide range of incomplete tools that can be difficult to install, configure, and maintain. While these tools may provide a wide range of statistics, they lack a standard methodology for analyzing the statistics to identify performance problems. In this session, learn how Amazon Relational Database Service (Amazon RDS) changes this by providing database performance monitoring that is automatically configured, easy to use, and based on a clear actionable methodology.
Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...Amazon Web Services
"Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop/Spark to AWS in order to save costs, increase availability, and improve performance. In this session, AWS customers Airbnb and Guardian Life discuss how they migrated their workload to Amazon EMR. This session focuses on key motivations to move to the cloud. It details key architectural changes and the benefits of migrating Hadoop/Spark workloads to the cloud.
"
Migrate from Netezza to Amazon Redshift: Best Practices with Financial Engine...Amazon Web Services
Modernizing your data warehouse can unlock new insights while substantially improving query and data load performance, increasing scalability, and saving costs. In this chalk talk, we discuss how to migrate your Netezza data warehouse to Amazon Redshift and achieve agility and faster time to insight while reducing costs. Financial Engines joins us to share their migration journey, after which they were able to improve performance by 10x and reduce cost by 1/3 for a saving of ~$100K annually.
Migrating Open Source Databases from Amazon EC2 to Aurora MySQL (DAT340) - AW...Amazon Web Services
Running your open source database on Amazon EC2 is convenient, but can it be easier, more scalable, and more cost effective? You bet it can. In this session, learn how to effectively and efficiently migrate a read/write-heavy MySQL database from Amazon EC2 to Amazon Aurora with zero downtime, increased availability from 99.95% to 99.999%, and reduction of cost by 5X.
SQL Server to Amazon Aurora Migration, Step by Step (DAT405) - AWS re:Invent ...Amazon Web Services
In this session, learn best practices and tips for migrating SQL Server databases to Amazon Aurora. We use a combination of automated tools such as AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), manual procedures, and DBA know-how. We take questions on Amazon Aurora architecture and capabilities, how they compare to Microsoft technologies, and how to migrate core SQL Server features, capabilities, and schema objects to their AWS equivalent counterparts.
One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...Amazon Web Services
One of the benefits of having a data lake is that same data can be consumed by multi-tenant groups—an efficient way to share a persistent Amazon EMR cluster. The same business data can be safely used for many different analytics and data processing needs. In this session, we discuss steps to make an Amazon EMR cluster multi-tenant for analytics, best practices for a multi-tenant cluster, and solutions to common challenges. We also address the security and governance aspects of a multi-tenant Amazon EMR cluster.
In this session, we explore the world's first cloud-scale file system and its targeted use cases. Learn about Amazon EFS features and benefits, how to identify applications that are appropriate to use with Amazon EFS, and details about its performance and security models. The target audience includes security administrators, application developers, and applications owners who operate or build file-based applications.
Data Lake Implementation: Processing and Querying Data in Place (STG204-R1) -...Amazon Web Services
Flexibility is key when building and scaling a data lake. The analytics solutions you use in the future will almost certainly be different from the ones you use today, and choosing the right storage architecture gives you the agility to quickly experiment and migrate with the latest analytics solutions. In this session, we explore best practices for building a data lake in Amazon S3 and Amazon Glacier for leveraging an entire array of AWS, open source, and third-party analytics tools. We explore use cases for traditional analytics tools, including Amazon EMR and AWS Glue, as well as query-in-place tools like Amazon Athena, Amazon Redshift Spectrum, Amazon S3 Select, and Amazon Glacier Select.
Deep Dive on MySQL Databases on Amazon RDS (DAT322) - AWS re:Invent 2018Amazon Web Services
In recent years, MySQL has become a top database choice for new application development and migration from overpriced, restrictive commercial databases. In this session, we provide an overview of the MySQL and MariaDB options available on AWS. We also do a deep dive on Amazon Relational Database Service (Amazon RDS), a fully managed MySQL service, and Amazon Aurora, a MySQL-compatible database with up to 5X the performance, and many additional innovations.
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.
Advanced Design Patterns for Amazon DynamoDB - Workshop (DAT404-R1) - AWS re:...Amazon Web Services
Join us for a practical hands-on workshop on using Amazon DynamoDB. This session is designed for developers, engineers, and database administrators who are involved in designing and maintaining DynamoDB applications. We begin with a walkthrough of proven NoSQL design patterns for at-scale applications. Next, we use step-by-step instructions to apply lessons learned to design DynamoDB tables and indexes that are optimized for performance and cost. Expect to leave this session with the knowledge to build and monitor DynamoDB applications that can grow to any size and scale. Attendees should have a basic understanding of DynamoDB. Bring your laptop to participate in this workshop.
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Amazon Web Services
Querying and analyzing big data can be complicated and expensive. It requires you to setup and manage databases, data warehouses, and business intelligence (BI) applications—all of which require time, effort, and resources. Using Amazon Athena and Amazon QuickSight, you can avoid the cost and complexity by creating a fast, scalable, and serverless cloud analytics solution without the need to invest in databases, data warehouses, complex ETL solutions, and BI applications. In this session, we demonstrate how you can build a serverless big data analytics solution using Amazon Athena and Amazon QuickSight.
Hands-On Building and Deploying .NET Applications on AWS (DEV331-R1) - AWS re...Amazon Web Services
In this workshop, we discuss several approaches to building and deploying .NET applications on AWS. After a short presentation, attendees have the opportunity to choose a hands-on walkthrough to either rehost, replatform, or re-architect a .NET application on AWS. Please bring a laptop for the hands-on exercises.
What's New in Amazon Relational Database Service (DAT203) - AWS re:Invent 2018Amazon Web Services
Amazon Relational Database Service (Amazon RDS) is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. We review the capabilities of the service and review the latest available featurese.
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018Amazon Web Services
In this session, you have the opportunity to learn the fundamental building blocks of a data lake on AWS. You design and build a serverless pipeline to ingest, process, optimize and query data in your very own data lake. We discuss different optimizations and best practices to tune your architecture for future growth.
Modern Cloud Data Warehousing ft. Intuit: Optimize Analytics Practices (ANT20...Amazon Web Services
Most companies are overrun with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. In this session, we discuss the most common use cases with Amazon Redshift, and we take an in-depth look at how modern data warehousing blends and analyzes all your data to give you deeper insights to run your business. Intuit joins us to share their experience modernizing their analytics pipeline.
Reliability of the Cloud: How AWS Achieves High Availability (ARC317-R1) - AW...Amazon Web Services
In this chalk talk, we explore the implementation details of achieving availability and reliability, as described in the whitepaper, AWS Well-Architected Framework - Reliability Pillar
Databases on AWS: The Right Tool for the Right Job (DAT205-R1) - AWS re:Inven...Amazon Web Services
Shawn Bice, VP of Non-Relational Databases at AWS, discusses a purpose-built strategy for databases, where you choose the right tool for the job. Shawn explains why your application should drive the requirements of a database, not the other way around. We introduce AWS databases that are purpose-built for your application use cases. Learn why you should select different database services to solve different aspects of an application, and watch a demonstration in which application use cases lend themselves well to specific data services. If you're a developer building modern applications that require high performance, scale, and functional databases, and you're trying to determine which relational and non-relational data services to use, this session is for you.
Use Monitoring, Logs, and Analytics Tools to Measure CDN and Site Performance...Amazon Web Services
In this session, use metrics and logs from Amazon CloudFront, and tools such as Amazon CloudWatch and third-party performance measurement tools, to measure and improve your web and mobile performance.
Migrating Your NoSQL Database to Amazon DynamoDB (DAT314) - AWS re:Invent 2018Amazon Web Services
AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help migrate databases from many supported data sources to supported targets. In this session, we review how the combination of AWS DMS and AWS SCT can help migrate your NoSQL databases, such as MongoDB and Cassandra, to Amazon DynamoDB. We provide an overview of AWS DMS and AWS SCT, and we demonstrate migrating a sample Cassandra database into DynamoDB.
High Performance Computing on AWS: Driving Innovation without Infrastructure ...Amazon Web Services
In today’s environment of increasingly large data sets and resource-intensive algorithmic processing, the challenge of HPC includes keeping pace with the demands of researchers, scientists, engineers, and creative professionals so they can rapidly produce high-value answers to complex questions. AWS HPC solutions deliver significant leaps in compute performance, memory capacity and bandwidth and I/O scalability. The highly customizable computing platform and robust partner ecosystem enable your staff to imagine new approaches so they can fail forward faster, delivering more answers to more questions without the need for costly, on-premises upgrades. This session provides an overview of HPC capabilities on AWS, describes the newest generations of accelerated computing instances, as well as highlighting customer and partner use-cases across industries. Attendees will also learn how the steadily increasing interest in running HPC workloads on the cloud can be combined with the advances in AI/ML to make it a catalyst for sustained innovation in these industries.
Accelerate SAP Workloads on AWS High-Memory Instances Powered by Intel (BAP34...Amazon Web Services
Join Lemongrass, an SAP consulting partner, and Intel to learn how a customer in Europe has replatformed its business-critical SAP workloads on high-memory instances to bring more agility and insights-sharing to its business as well as a common support and governance structure that makes its investment future-proof. This session is brought to you by AWS partner, Intel.
Analyze your Data Lake, Fast @ Any Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
-Learn how to automatically discover, catalog, and prepare your data for analytics
-Understand how to query data in your data lake without having to transform or load the data into your data warehouse
-See how to analyze data in both your data lake and data warehouse
Under the Hood: How Amazon Uses AWS Services for Analytics at a Massive Scale...Amazon Web Services
As Amazon's consumer business continues to grow, so does the volume of data and the number and complexity of the analytics done in support of the business. In this session, we talk about how Amazon.com uses AWS technologies to build a scalable environment for data and analytics. We look at how Amazon is evolving the world of data warehousing with a combination of a data lake and parallel, scalable compute engines, such as Amazon EMR and Amazon Redshift.
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Data Privacy & Governance in the Age of Big Data: Deploy a De-Identified Data...Amazon Web Services
Come to this session to learn a new approach in reducing risk and costs while increasing productivity, organizational alacrity, and customer experience, resulting in a competitive advantage and assorted revenue growth. We share how a de-identified data lake on AWS can help you comply with General Data Protection Regulation (GDPR) and California Consumer Protection Act requirements by solving the issue at its causal element.
Amazon DynamoDB is a serverless database for applications that need a flexible data model with high performance at any scale. In this session, we cover newly announced features and provide an end-to-end view of recent innovations. We also share some of our successful customer stories and use cases. Come to this session to learn all about what’s new with DynamoDB!
In this session, we explore the world's first cloud-scale file system and its targeted use cases. Learn about Amazon EFS features and benefits, how to identify applications that are appropriate to use with Amazon EFS, and details about its performance and security models. The target audience includes security administrators, application developers, and applications owners who operate or build file-based applications.
Data Lake Implementation: Processing and Querying Data in Place (STG204-R1) -...Amazon Web Services
Flexibility is key when building and scaling a data lake. The analytics solutions you use in the future will almost certainly be different from the ones you use today, and choosing the right storage architecture gives you the agility to quickly experiment and migrate with the latest analytics solutions. In this session, we explore best practices for building a data lake in Amazon S3 and Amazon Glacier for leveraging an entire array of AWS, open source, and third-party analytics tools. We explore use cases for traditional analytics tools, including Amazon EMR and AWS Glue, as well as query-in-place tools like Amazon Athena, Amazon Redshift Spectrum, Amazon S3 Select, and Amazon Glacier Select.
Deep Dive on MySQL Databases on Amazon RDS (DAT322) - AWS re:Invent 2018Amazon Web Services
In recent years, MySQL has become a top database choice for new application development and migration from overpriced, restrictive commercial databases. In this session, we provide an overview of the MySQL and MariaDB options available on AWS. We also do a deep dive on Amazon Relational Database Service (Amazon RDS), a fully managed MySQL service, and Amazon Aurora, a MySQL-compatible database with up to 5X the performance, and many additional innovations.
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.
Advanced Design Patterns for Amazon DynamoDB - Workshop (DAT404-R1) - AWS re:...Amazon Web Services
Join us for a practical hands-on workshop on using Amazon DynamoDB. This session is designed for developers, engineers, and database administrators who are involved in designing and maintaining DynamoDB applications. We begin with a walkthrough of proven NoSQL design patterns for at-scale applications. Next, we use step-by-step instructions to apply lessons learned to design DynamoDB tables and indexes that are optimized for performance and cost. Expect to leave this session with the knowledge to build and monitor DynamoDB applications that can grow to any size and scale. Attendees should have a basic understanding of DynamoDB. Bring your laptop to participate in this workshop.
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Amazon Web Services
Querying and analyzing big data can be complicated and expensive. It requires you to setup and manage databases, data warehouses, and business intelligence (BI) applications—all of which require time, effort, and resources. Using Amazon Athena and Amazon QuickSight, you can avoid the cost and complexity by creating a fast, scalable, and serverless cloud analytics solution without the need to invest in databases, data warehouses, complex ETL solutions, and BI applications. In this session, we demonstrate how you can build a serverless big data analytics solution using Amazon Athena and Amazon QuickSight.
Hands-On Building and Deploying .NET Applications on AWS (DEV331-R1) - AWS re...Amazon Web Services
In this workshop, we discuss several approaches to building and deploying .NET applications on AWS. After a short presentation, attendees have the opportunity to choose a hands-on walkthrough to either rehost, replatform, or re-architect a .NET application on AWS. Please bring a laptop for the hands-on exercises.
What's New in Amazon Relational Database Service (DAT203) - AWS re:Invent 2018Amazon Web Services
Amazon Relational Database Service (Amazon RDS) is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. We review the capabilities of the service and review the latest available featurese.
Building Your First Serverless Data Lake (ANT356-R1) - AWS re:Invent 2018Amazon Web Services
In this session, you have the opportunity to learn the fundamental building blocks of a data lake on AWS. You design and build a serverless pipeline to ingest, process, optimize and query data in your very own data lake. We discuss different optimizations and best practices to tune your architecture for future growth.
Modern Cloud Data Warehousing ft. Intuit: Optimize Analytics Practices (ANT20...Amazon Web Services
Most companies are overrun with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. In this session, we discuss the most common use cases with Amazon Redshift, and we take an in-depth look at how modern data warehousing blends and analyzes all your data to give you deeper insights to run your business. Intuit joins us to share their experience modernizing their analytics pipeline.
Reliability of the Cloud: How AWS Achieves High Availability (ARC317-R1) - AW...Amazon Web Services
In this chalk talk, we explore the implementation details of achieving availability and reliability, as described in the whitepaper, AWS Well-Architected Framework - Reliability Pillar
Databases on AWS: The Right Tool for the Right Job (DAT205-R1) - AWS re:Inven...Amazon Web Services
Shawn Bice, VP of Non-Relational Databases at AWS, discusses a purpose-built strategy for databases, where you choose the right tool for the job. Shawn explains why your application should drive the requirements of a database, not the other way around. We introduce AWS databases that are purpose-built for your application use cases. Learn why you should select different database services to solve different aspects of an application, and watch a demonstration in which application use cases lend themselves well to specific data services. If you're a developer building modern applications that require high performance, scale, and functional databases, and you're trying to determine which relational and non-relational data services to use, this session is for you.
Use Monitoring, Logs, and Analytics Tools to Measure CDN and Site Performance...Amazon Web Services
In this session, use metrics and logs from Amazon CloudFront, and tools such as Amazon CloudWatch and third-party performance measurement tools, to measure and improve your web and mobile performance.
Migrating Your NoSQL Database to Amazon DynamoDB (DAT314) - AWS re:Invent 2018Amazon Web Services
AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) can help migrate databases from many supported data sources to supported targets. In this session, we review how the combination of AWS DMS and AWS SCT can help migrate your NoSQL databases, such as MongoDB and Cassandra, to Amazon DynamoDB. We provide an overview of AWS DMS and AWS SCT, and we demonstrate migrating a sample Cassandra database into DynamoDB.
High Performance Computing on AWS: Driving Innovation without Infrastructure ...Amazon Web Services
In today’s environment of increasingly large data sets and resource-intensive algorithmic processing, the challenge of HPC includes keeping pace with the demands of researchers, scientists, engineers, and creative professionals so they can rapidly produce high-value answers to complex questions. AWS HPC solutions deliver significant leaps in compute performance, memory capacity and bandwidth and I/O scalability. The highly customizable computing platform and robust partner ecosystem enable your staff to imagine new approaches so they can fail forward faster, delivering more answers to more questions without the need for costly, on-premises upgrades. This session provides an overview of HPC capabilities on AWS, describes the newest generations of accelerated computing instances, as well as highlighting customer and partner use-cases across industries. Attendees will also learn how the steadily increasing interest in running HPC workloads on the cloud can be combined with the advances in AI/ML to make it a catalyst for sustained innovation in these industries.
Accelerate SAP Workloads on AWS High-Memory Instances Powered by Intel (BAP34...Amazon Web Services
Join Lemongrass, an SAP consulting partner, and Intel to learn how a customer in Europe has replatformed its business-critical SAP workloads on high-memory instances to bring more agility and insights-sharing to its business as well as a common support and governance structure that makes its investment future-proof. This session is brought to you by AWS partner, Intel.
Analyze your Data Lake, Fast @ Any Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
-Learn how to automatically discover, catalog, and prepare your data for analytics
-Understand how to query data in your data lake without having to transform or load the data into your data warehouse
-See how to analyze data in both your data lake and data warehouse
Under the Hood: How Amazon Uses AWS Services for Analytics at a Massive Scale...Amazon Web Services
As Amazon's consumer business continues to grow, so does the volume of data and the number and complexity of the analytics done in support of the business. In this session, we talk about how Amazon.com uses AWS technologies to build a scalable environment for data and analytics. We look at how Amazon is evolving the world of data warehousing with a combination of a data lake and parallel, scalable compute engines, such as Amazon EMR and Amazon Redshift.
Migrating Your Oracle & SQL Server Databases to Amazon Aurora (DAT318) - AWS ...Amazon Web Services
Organizations today are looking to free themselves from the constraints of on-premises commercial databases and leverage the power of cloud-native and open-source systems. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database that is built for the cloud, with the speed, reliability, and availability of commercial databases at one-tenth the cost. In this session, we provide an overview of Aurora and its features. We talk about the latest advances in migration tooling and automation, and we explain how many of the common legacy features of Oracle and SQL Server map to modern cloud variants. We also hear from Dow Jones about its migration journey to the cloud.
Data Privacy & Governance in the Age of Big Data: Deploy a De-Identified Data...Amazon Web Services
Come to this session to learn a new approach in reducing risk and costs while increasing productivity, organizational alacrity, and customer experience, resulting in a competitive advantage and assorted revenue growth. We share how a de-identified data lake on AWS can help you comply with General Data Protection Regulation (GDPR) and California Consumer Protection Act requirements by solving the issue at its causal element.
Amazon DynamoDB is a serverless database for applications that need a flexible data model with high performance at any scale. In this session, we cover newly announced features and provide an end-to-end view of recent innovations. We also share some of our successful customer stories and use cases. Come to this session to learn all about what’s new with DynamoDB!
Migrating Financial and Accounting Systems from Oracle to Amazon DynamoDB (DA...Amazon Web Services
In this session, we discuss our learnings from migrating the financial ledger and accounting system that Amazon uses from Oracle to AWS. We share the performance and cost benefits to enterprises who migrate critical systems from Oracle to AWS, the decision frameworks used to pick the appropriate AWS service for appropriate application, and best practices in project management.
How Amazon Migrated Items & Offers for Retail, Marketplace, & Digital to Dyna...Amazon Web Services
In this session, learn how Amazon.com used AWS Database Migration Service (AWS DMS) to migrate 600B+ records to Amazon DynamoDB in two months. We address such questions such as: What were the problems in using Oracle databases for a large-scale distributed system that is constantly growing in scale? How did migration to Amazon DynamoDB address those problems and simplify the application architecture? How do you migrate data reliably and quickly using AWS DMS without affecting your application’s availability or throughput?
How GumGum Migrated from Cassandra to Amazon DynamoDB (DAT345) - AWS re:Inven...Amazon Web Services
GumGum recently moved to Amazon DynamoDB from Apache Cassandra. In this session, we discuss the architecture and design decisions made in the process, including comparisons of different NoSQL database options. We also share the justifications and steps taken in order to plan and complete the migration process. Finally, we cover the benefits and outcome of the migration, including performance boost, cost savings, and maintenance reductions.
What’s New for Amazon DynamoDB - 2018 Q1 Update - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how adaptive capacity and Time-To-Live (TTL) can dynamically scale your tables
- Learn how to design your DynamoDB for global applications with Global Tables
- Learn how to perform On-Demand Backup on your DynamoDB tables for data archival
Why GE Aviation Migrated from Cassandra to Amazon DynamoDB (DAT332) - AWS re:...Amazon Web Services
GE Aviation sells $1.7B annually in parts and services through a customer portal called myGEAviation. To enhance its customers' experience, the portal enables users to input specific variables and build custom reports for later viewing. These applications, plotting, and data-query were experiencing issues with cost, scalability, and performance. In this session, GE discusses how it rearchitected plotting and data-query to resolve those issues by using Amazon DynamoDB.
Data Transformation Patterns in AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to accelerate common data transformations from a variety of data
- Learn how to efficiently orchestrate transformation jobs
- Learn best practices and methodologies in data preparation for analytics
Extending Analytics Beyond the Data Warehouse, ft. Warner Bros. Analytics (AN...Amazon Web Services
Companies have valuable data that they might not be analyzing due to the complexity, scalability, and performance issues of loading the data into their data warehouse. With the right tools, you can extend your analytics to query data in your data lake—with no loading required. Amazon Redshift Spectrum extends the analytic power of Amazon Redshift beyond data stored in your data warehouse to run SQL queries directly against vast amounts of unstructured data in your Amazon S3 data lake. This gives you the freedom to store your data where you want, in the format you want, and have it available for analytics when you need it. Join a discussion with an Amazon Redshift lead engineer to ask questions and learn more about how you can extend your analytics beyond your data warehouse.
Real-World Use Cases for Amazon DynamoDB (DAT333) - AWS re:Invent 2018Amazon Web Services
Build (or test!) your DynamoDB chops in this chalk talk where we work together to design data models and solutions for real-world use cases using DynamoDB. Share your experiences and best practices, and ask questions of DynamoDB experts.
How Oath (a Verizon Company) Built a Multi-Region GDPR Application with Amazo...Amazon Web Services
As Oath, a Verizon company, prepared for GDPR compliance during integration of AOL and Yahoo! Internet properties, a global user consent and terms of service application was developed and deployed. The cloud-native service was deployed across multiple AWS Regions globally and leveraged Amazon DynamoDB global tables to enable data synchronization. The service was launched in April 2018, scaling to meet the needs of hundreds of millions of Oath users. Come to this session to learn more about how Oath was able to accomplish all of this.
Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models. Its flexible data model, reliable performance, and automatic scaling of throughput capacity, makes it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications. We’ll take a look at how DynamoDB works and how it can be accelerated by DAX, the DynamoDB Accelerator.
Speaker: Lex Crosett - Solutions Architect, AWS
Building a Modern Data Warehouse - Deep Dive on Amazon RedshiftAmazon Web Services
Osemeke Isibor, Solutions Architect, AWS
In this session, we take a deep dive on Amazon Redshift architecture and the latest performance enhancements that give you faster insights into your data. We also cover Redshift Spectrum, a feature of Redshift that enables you to analyze data across Redshift and your Amazon S3 data lake to deliver unique insights not possible by analyzing independent data silos.
No Hassle NoSQL - Amazon DynamoDB & Amazon DocumentDB | AWS Summit Tel Aviv ...AWS Summits
NoSQL databases are a great fit for many modern applications such as mobile, web, and gaming that require flexible, scalable, high-performance, and highly functional databases to provide great user experiences but they can be hard to manage and require high proficiency and attention.In this session we will present Amazon DynamoDB, a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency in any scale.
No Hassle NoSQL - Amazon DynamoDB & Amazon DocumentDB | AWS Summit Tel Aviv ...Amazon Web Services
NoSQL databases are a great fit for many modern applications such as mobile, web, and gaming that require flexible, scalable, high-performance, and highly functional databases to provide great user experiences but they can be hard to manage and require high proficiency and attention.In this session we will present Amazon DynamoDB, a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency in any scale.
Organizations use reports, dashboards, and analytics tools to extract insights from their data, monitor performance, and support decision making. To support these tools, data must be collected and prepared for use. We'll look at two approaches: a structured centralized data repository as a Data Warehouse the less-structured repository of a Data Lake. We'll compare these approaches, examine the services that support each, and explore how they work together.
Speakers:
Amy Che - Sr. Solutions Delivery Manager, AWS
Karan Desai - Solutions Architect, AWS
SRV309 AWS Purpose-Built Database Strategy: The Right Tool for the Right JobAmazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, covers the AWS purpose-built strategy for databases and explains why your application should drive the requirements of a database, not the other way around. We introduce AWS databases that are purpose-built for your application use cases. Learn why you should select different data services to solve different aspects of an application, and watch a demonstration on which application use cases lend themselves well to which data services. If you’re a developer building modern applications that require flexibility and consistent millisecond performance, and you’re trying to determine what relational and non-relational data services to use, this session is for you.
This session will highlight the most impactful announcements made at AWS re:Invent 2017 while giving you ideas on key use cases for new services and features. We’ll cover major themes of the conference, the new services and features within those themes and how they work together to make it faster and easier to build functionality into your app.
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.
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.