Thiyagarajan Arumugam
Employers on the program
- 2019Amazon Web Services2 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | builders session | [REPEAT 1] Best practices for using popular BI tools with Amazon Redshift as Amazon Web Services Popular business intelligence (BI) tools like Tableau, Looker, MicroStrategy, Amazon QuickSight, and others are used with Amazon Redshift to visualize…Show lessPopular business intelligence (BI) tools like Tableau, Looker, MicroStrategy, Amazon QuickSight, and others are used with Amazon Redshift to visualize analytical results. In this session, we discuss tips and best practices to optimize Amazon Redshift with popular BI tools. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | [REPEAT 1] Best practices in migrating from on-premises data warehouses to Amazon Redshift as Amazon Web Services AWS Schema Conversion Tool (AWS SCT) data extractors can help with migrating from most widely used data warehouses, such as Netezza, Oracle, and other legacy…Show lessAWS Schema Conversion Tool (AWS SCT) data extractors can help with migrating from most widely used data warehouses, such as Netezza, Oracle, and other legacy data warehouses, to Amazon Redshift. You can also use the AWS SCT to optimize your Amazon Redshift database and use the right sort and distribution keys, along with modernizing ETL from sources like Oracle and Netezza to AWS Glue. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Matt Scaer | 1 | 1 | 2019 |
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.