Webcast : ER/Studio Enterprise Team Edition

Amazon Relational Database Service (RDS) is a managed web service that simplifies setting up, operating, and scaling a relational database in the Amazon Web Services (AWS) cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks.

Amazon Aurora is a managed relational database engine that is compatible with MySQL and PostgreSQL. Its design focuses on being faster and more reliable than standard MySQL and PostgreSQL databases, with features such as distributed fault-tolerant and self-healing storage systems. Aurora is part of the Amazon RDS service offering.

Amazon Redshift is a managed petabyte-scale data warehouse service in the cloud. Its design focuses on large-scale data storage and analysis, with a focus on performance and scalability. Unlike Amazon RDS and Aurora, which are relational database services, Redshift is tailored for data warehousing and analytical workloads.

As a data professional, you understand that a data model is primarily used for designing databases. But as more databases move up to the cloud, data modeling can also serve as a visual approach to capture concepts and relationships for database services, such as Amazon RDS, Aurora, and Redshift. Data models can demystify the complexities perceived and associated with managing and modeling cloud databases. Henry Nirsberger will show you how conceptual data models for Amazon database services can clarify confusion and accelerate an understanding of these complex offerings.

Speaker: Henry Nirsberger (CDMP, CBIP) is the author of “Data In The Cloud, A Conceptual Data Model for Amazon Database Services” and “A Conceptual Data Model for Amazon EC2” and the CEO of HMN Consulting LLC, providing IT consulting services specializing in Data Management, Enterprise Architecture, Cloud, Facilitation, and IT Leadership. As a trained facilitator, he has facilitated over 600 IT design and planning sessions for data modeling, process modeling, database design, project planning, process improvement, requirements consensus, strategy planning, issues management, and team building. He continues to be an unremitting student of data modeling, cloud computing, enterprise architecture, and all aspects of data management. His certifications include CDMP (DAMA), CBIP (TDWI), CDP-DM (ICCP), CFPIM (APICS 1984–2003) and TOGAF 9.