Prahlad Rao
Employers on the program
- 2019–2021Amazon Web Services3 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | chalk talk | Modern data architectures using the AWS Well-Architected Data Analytics Lens [REPEAT] as AWS Users with disparate data sources (databases or flat files) find it difficult to build a secure lake house architecture, enable users to get to a single source…Show lessUsers with disparate data sources (databases or flat files) find it difficult to build a secure lake house architecture, enable users to get to a single source of truth, and drive business outcomes. In this chalk talk, explore the Data Analytics Lens for the AWS Well-Architected Framework to build a secure lake house using Amazon S3, AWS Lake Formation, AWS Glue, AWS Glue DataBrew, and Amazon... | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | [REPEAT 1] Architecting data lakes with AWS data and analytics services as Amazon Web Services Customers with disparate data sources (databases, flat files, enterprise systems) have difficulty architecting a central data lake that can provide users a…Show lessCustomers with disparate data sources (databases, flat files, enterprise systems) have difficulty architecting a central data lake that can provide users a single source of truth and drive business outcomes. During this chalk talk, we discuss how to architect a secure data lake using Amazon S3, AWS Database Migration Service (AWS DMS), AWS Lake Formation, AWS Glue, and Amazon Athena. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | workshop | [REPEAT 1] Process data using cloud databases and serverless technologies as Amazon Web Services Organizations have disparate datasets and may find it challenging to process data and drive business outcomes. In this workshop, we leverage AWS managed…Show lessOrganizations have disparate datasets and may find it challenging to process data and drive business outcomes. In this workshop, we leverage AWS managed database services and serverless technologies to help replicate, manage, and analyze data using an MLB dataset. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Shree Kenghe | 2 | 3 | 2021 |
| Aaron Lima | 2 | — | 2021 |
| Aashmeet Kalra | 2 | — | 2021 |
| Aditya Bindal | 2 | — | 2021 |
| Adrian R. SanMiguel | 2 | — | 2021 |
| Akshay Ram | 2 | — | 2021 |
| Alan Halachmi | 2 | — | 2021 |
| Alex Burkleaux | 2 | — | 2021 |
| Alex DeBrie | 2 | — | 2021 |
| Ali Saidi | 2 | — | 2021 |
| Alket Memushaj | 2 | — | 2021 |
| Amit Bajaj | 2 | — | 2021 |
| Amit Grover | 2 | — | 2021 |
| Amit Kumar | 2 | — | 2021 |
| Amit Mukherjee | 2 | — | 2021 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.