Cloud data warehouses power business critical and advanced analytics for organizations at lower costs, increased elasticity, and improved performance. With the ever-growing amount of data and variety of workloads, traditional data warehouses simply can’t keep up with today’s digital-first, cloud-native requirements.
However, the journey to a cloud data warehouse isn’t easy due to slow time to analytics-ready data, high costs from intermediary data systems, and complexities of integrating multiple data silos across hybrid or multi-cloud environments.
Modernizing your data warehouse doesn’t need to be long or complicated. In this webinar, we’ll walk through how you can start immediately migrating to Amazon Redshift across on-prem and cloud environments using Confluent, our ecosystem of pre-built connectors, and ksqlDB for real-time data processing.
AWS Evangelist, Staff Partner SA, Confluent
Joseph Morais started early in his career as a network/solution engineer working for FMC Corporation and then Urban Outfitters (UO). At UO, Joseph joined the e-commerce operations team, focusing on agile methodology, CI/CD, containerization, public cloud architecture, and infrastructure as code. This led to a greenfield AWS opportunity working for a startup, Amino Payments, where he worked heavily with Kafka, Apache Hadoop, NGINX, and automation. Before joining Confluent, Joseph helped AWS enterprise customers scale through their cloud journey as a senior technical account manager. At Confluent, Joseph serves as cloud partner solutions architect and Confluent Cloud evangelist.
Sudhir Gupta, AWS
Principal Partner Solutions Architect
Sudhir is a Principal Analytics specialist Partner Solutions Architect at AWS where he helps AWS partners and customers design, implement, and migrate data analytics workloads to AWS. As a trusted advisor to partners he enables partners globally on data warehouse modernization, building packaged offering and drives go-to-market initiatives. As a voice of partners, he connects AWS partners with the AWS product team to drive product feature development. He has over 16 years of databases and analytics experience, and has worked at Amazon, Barclays Technology and Atos. In his previous role at Amazon.com, he led one of the largest enterprise data warehouse (size 50+ PB) migration to Amazon Redshift and Andes data lake; and transaction databases migration to Amazon RDS/Aurora. Sudhir is based in Seattle, State of Washington in the United States.