Analytics in 15: Big Data and Data Governance with AWS

Running big data workloads while ensuring governance and establishing end-to-end security is challenging. Amazon EMR makes it easy for data analysts and engineers to run open-source big data analytics frameworks such as Apache Spark, Hive, and Presto, while AWS Lake Formation automatically and securely manages data through multiple AWS services. Learn more about the big data processing and data securing capabilities of Amazon EMR and AWS Lake Formation.

Learning Objectives:
* Objective 1: Hear about the different deployment models for Amazon EMR, including EMR on EC2, EMR serverless and EMR on EKS.
* Objective 2: Learn how Lake Formation integrates with underlying AWS security, storage, analysis, and ML services.
* Objective 3: See how Lake Formation automatically configures AWS services to comply with centrally defined access policies.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/emr/