Welcome to the Amazon Database Services Webinar Series homepage. These webinars will cover a range of business and technical topics. Webinars will be run by subject-matter experts and will provide you with the opportunity to learn about AWS database services, interact with your peers, and ask questions.
Amazon ElastiCache makes it easy to deploy, operate, and scale an in-memory cache for web applications running in the AWS cloud. Customers can now take advantage of the managed caching service to operate Redis in the cloud where Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory store enabling developers to focus on differentiated workloads. During this session we will provide an overview of the new Amazon ElastiCache for Redis service, discuss popular use cases for Redis, and share best practices that will help you fully leverage ElastiCache for Redis in your high performance architecture.
Deploying and managing databases can be time-consuming, complex, and costly. Amazon RDS removes this complexity and makes it easy to set up, operate, and scale, relational databases in the cloud. In this webinar, you will learn about applications using RDS for MySQL that require up to tens of thousands of IOPS and how these applications scale on demand. In addition, we will cover the best practices to import data from your on-premises or Amazon EC2 database instances to Amazon RDS for MySQL, and the latest MySQL 5.6 features.
Amazon Redshift is a petabyte-scale data warehouse that is faster, simpler, and less expensive than traditional data warehousing solutions. And getting your own data into Redshift is easy. Join us with our Redshift partner, Attunity, to learn about your data integration options and best practices. Whether your data is in an on premise platform or a cloud based database like DynamoDB, we will show you how you can easily load your data in to Redshift.
This webinar covers both introductory as well as advanced topics related to Amazon ElastiCache and is intended for current memcached users as well as those already using Amazon ElastiCache. During this session we will go over various scenarios and use-cases that can benefit by enabling caching, discuss the features provided by Amazon ElastiCache, and review best-practices, design patterns, and anti-patterns related to Amazon ElastiCache. The webinar will also include a demo where we enable Amazon ElastiCache for a web application and show the resulting performance improvements.
This session follows our webinar on data loading and key choices and shows you how to use Amazon Redshift efficiently. Hear our experts discuss how to extract the best performance from your Amazon Redshift cluster by using the commands like vacuum appropriately. Understand what information is exposed in the Amazon Redshift console and how to use it. Learn how to tune performance by explaining query plans and examining how memory and disk space are used.
Efficient schema design reduces cost and eliminates barriers to scalability. This requires a different approach to data modeling, with a focus on optimizing for usage patterns rather than merely describing objects. In this session, you will learn best practice techniques for minimizing payload size and modeling one-to-many relationships in DynamoDB, leveraging the versatility of hash+range primary keys. These methods have been used extensively by customers with substantial workloads on DynamoDB, enabling them to grow their applications quickly and cost-effectively.
Loading very large data sets into your data warehouse can take a long time and consume a lot of computing resources. How data is loaded can also affect query performance. We will discuss best practices for loading data efficiently into Amazon Redshift using COPY commands, bulk inserts, and staging tables. We will also cover the key decisions that will heavily influence overall query performance. These design choices also have a significant effect on storage requirements, which in turn affects query performance by reducing the number of I/O operations and minimizing the memory required to process queries.
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. In this webinar we will discuss how to move your existing databases to RDS with minimum disruption. We will also cover how to deploy very high performance databases on the cloud. And finally, we will provide examples of how customers have successfully deployed high performance databases using RDS.
Amazon Redshift is the new data warehouse service from Amazon Web Services. Redshift offers you fast query performance when analyzing virtually any size data set using the same SQL-based tools and business intelligence applications you use today. In this webinar, we will take a detailed look at Redshift, including a live demonstration. This webinar is ideal for anyone looking to gain deeper insight into their data, without the usual challenges of time, cost and effort.
Come join AWS team to learn more about how you can use RDS for Oracle to manage the database used to run PeopleSoft financial and human capital management software. This webinar is for customers looking to ease the burden of Oracle database management associated with running PeopleSoft on AWS. The DLZP Group, an AWS and Oracle SI partner, will show how they have used RDS for Oracle to create a Test Drive environment that is free for customers to use and evaluate, via the program.
Whether you are preparing to power a Presidential Election (Obama for America 2012) or building comprehensive online brand abuse detection tools, picking the right database architecture has a lot to do with how your application can perform and scale to meet your needs. AWS offers a solid array of open source and commercial database choices, from do-it-yourself to fully managed services which automate software deployments and scaling. Customers can choose the database engine and architecture that best suits their organization's needs.
Obama for America chose MySQL, Elasticache and DyamoDB as part of their architecture to power a successful Presidential campaign. Edmodo uses MySQL as the engine to power their online learning platform. BrandVerity uses both MySQL and DynamoDB as a backbone for their online brand and trademark abuse detection tools. In this session, you will hear experts from each of these groups explain why they made specific database design choices and how the database architecture has helped them achieve their goals.
In this webinar, you will discover how Amazon RDS for Microsoft SQL Server® makes it easy to set up, operate, and scale SQL Server deployments in the cloud. We will discuss how to get started quickly and how Amazon RDS can make it easier to operate your database infrastructure, and free you to focus on higher value added development activities.
High performance databases require substantial effort in order to achieve and maintain consistently high throughput. This effort fails to differentiate applications and services, and it increases cost. Learn how Amazon customers leverage managed database services to dramatically increase database performance and reduce their administrative burden. Featured services include: Amazon RDS, DynamoDB and ElastiCache.
Is your application ready to scale up for the holiday season? This webinar will show you how DynamoDB can help you build a scalable, high performance, cost-effective application, and in days rather than weeks or months . We’ll provide an introduction to DynamoDB and walk through best practices on achieving high scalability using examples from our customers – including how to scale relational databases with Amazon DynamoDB.
In this webinar, you will discover how Amazon RDS for Oracle automatically manages cumbersome and time consuming maintenance tasks on your behalf. We will discuss how to get started quickly and how Amazon RDS can make it easier to operate your database infrastructure, and free you to focus on higher value added database administration activities.
Deploying and managing databases can be time consuming, complex, and costly. Amazon RDS removes this complexity and makes it easy to set up, operate, and scale relational databases in the cloud. RDS fully manages database administration tasks such as software installation and patching, database and log back-ups for disaster recovery, replication, and monitoring.