On August 24th, we will be having a meetupat Narvarin SF, with two tech talks providing insights into how they approach data engineering & science. Hope to see you there.

Talk 1: Kevin Roberts
Narvar's Data Platform combines order information in dozens of formats across hundreds of retailers with tracking information from hundreds of carriers & usage behavior across our own application suite. We present our approach to modern ETL & data warehousing with multiple formats utilizing ingestion templating, serialized Kafka streams, & cloud storage using Amazon S3 & Redshift. Using a metadata layer, data on S3 with arbitrary schema can be copied to an existing RDBMS table for analysis or converted to HDFS or Orc files & processed with Hive or Presto for analytics & data science.

Talk 2: Brad Pflum
With an estimated 2/3rds of American online shoppers having interacted with Narvars post-purchase ecommerce platform, Narvar is assembling one of the largest & richest datasets in the world. This data, flowing thru a modern data platform, presents a rich playground for data science. Well discuss how were using hierarchical bayesian methods for AB testing, machine learning optimize supply chains, & AI to help retailers present personalized post-purchase experiences to their consumers.

Schedule
6-6:30 pmSign-in/Networking
6:30-7:15 pmTech Talk by Kevin & Brad
7:15-7:30 pmQ&A
7:30 pmNetworking