Sep 23–26, 2019

Nikki Rouda
Principal Product Marketing Manager, Amazon Web Services

Nikki Rouda is a principal product marketing manager at Amazon Web Services (AWS). Nikki has decades of experience leading enterprise big data, analytics, and data center infrastructure initiatives. Previously, he held senior positions at Cloudera, Enterprise Strategy Group (ESG), Riverbed, NetApp, Veritas, and UK-based Alertme.com (an early consumer IoT startup). Nikki holds an MBA from Cambridge’s Judge Business School and an ScB in geophysics from Brown University.

Sessions

9:00am - 5:00pm Monday, September 23 & Tuesday, September 24

Location: 1A 17

SOLD OUT: Building a serverless big data application on AWS

Data Engineering and Architecture

Secondary topics: Cloud Platforms and SaaS, Data Integration and Data Processing, Data, Analytics, and AI Architecture, Deep dive into specific tools, platforms, or frameworks

Jorge Lopez (Amazon Web Services), Radhika Ravirala (Amazon Web Services), Nikki Rouda (Amazon Web Services), Jesse Gebhardt (Amazon Web Services), Rajeev Chakrabarti (Amazon Web Services)

Serverless technologies let you build and scale applications and services rapidly without the need to provision or manage servers. Join the AWS team to learn how to incorporate serverless concepts into your big data architectures. You'll explore design patterns to ingest, store, and analyze your data as you build a big data application using AWS technologies such as S3, Athena, Kinesis, and more. Read more.

Location: 1A 17

2:05pm–2:45pm Thursday, September 26, 2019

Location: 1E 07/08

Fuzzy matching and deduplicating data: Techniques for advanced data prep

Data Engineering and Architecture

Secondary topics: Data Integration and Data Processing, Data quality, data governance and data lineage

Nikki Rouda (Amazon Web Services), Janisha Anand (Amazon Web Services)

Nikki Rouda and Janisha Anand demonstrate how to deduplicate or link records in a dataset, even when the records don’t have a common unique identifier and no fields match exactly. You'll also learn how to link customer records across different databases, match external product lists against your own catalog, and solve tough challenges to prepare and cleanse data for analysis. Read more.