From relational databases to Cloud databases, using the right tool for the right job.
Who is this presentation for?Developers, Data engineers, DBAs
The format of this workshop is approximately 40 min presentation followed by 2 Hour 10 min hands-on-lab and 10 min Q/A. During the presentation, we will highlight the best practices in choosing the right data storage, data migration strategies and tools used for data processing and storage on AWS Cloud platform. We will also highlight real life case studies from various industries to illustrative this concept.
During the hands-on workshop, we will evaluate the application use cases, decide on the target data store and migrate a sample relational schema into AWS Cloud using AWS DMS. We will leverage the AWS services such as Amazon DynamoDB, Amazon S3 and Amazon RDS as part of this workshop.
Prerequisite knowledgeBasic working knowledge of AWS Cloud (VPC, RDS, DynamoDB, CloudFormation, S3) Working knowledge of Relational databases
Materials or downloads needed in advance
What you'll learn
Amazon Web Services
Gowri Balasubramanian is a senior solutions architect at Amazon Web Services. He works with AWS customers to provide guidance and technical assistance on both relational as well as NoSQL database services, helping them improve the value of their solutions when using AWS.
Amazon Web Services
Rajeev Srinivasan is a Senior Solution Architect for AWS. He works very close with our customers to provide big data and NoSQL solution leveraging the AWS platform and enjoys coding . In his spare time he enjoys riding his motorcycle and reading books.
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