Join Amazon Web Services for an event on how to build Big Data solutions on AWS while reducing time to market and cost.
Our team will host the session covering business use cases, solutions and best practices that you need to know to get started and build scalable architectures and big data services in the cloud.
Who should attend
The event is designed for Development Managers and Development responsible staff, Architecture Managers and Architecture responsible staff, DevOps and IT Managers who are interested in learning about Big Data and Analytics workloads on AWS.
Tuesday February 18
Registration and Lunch
Introduction : Turn data into insights with AWS
Data is incredibly valuable, but extracting it is getting harder and harder as the volume, variety, and velocity of data continues to explode. AWS offers a comprehensive collection of services to store, organize, secure, and analyze your data. Come learn about modern data architectures and the variety of ways you can analyze your data to find the hidden insights that will help you succeed.
Streaming and real-time analytics on AWS
Learn how streaming technologies can help analyze data in real time, move data between systems in real time, or power data flows in next-generation applications and microservices architectures. This block covers both the Amazon Kinesis family of products and Amazon Managed Streaming for Apache Kafka (Amazon MSK), and it provides deep examples of how these streaming technologies can be used to more easily build real-time and connected applications.
Modernize your data warehouse with AWS
Cloud data warehouses are less expensive, easier to use, and faster than legacy on-premises data warehouses, but still have an easy migration process that leverages your existing SQL skills. AWS recommends moving to a “lake house” approach for data warehousing that combines the best of both a data warehouse and a data lake approach to analytics. Learn how you can migrate to the cloud and unlock better performance and increased functionality while still reducing your spend.
Customer Use Case (s)
Partner(s) / Customer(s) will present about why and how they leverage Big Data & Analytics services on AWS.