Seminarinhalt
This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.
Programm
- Compare the features and benefits of data warehouses, data lakes, and modern data architectures
- Design and implement a batch data analytics solution
- Identify and apply appropriate techniques, including compression, to optimize data storage
- Select and deploy appropriate options to ingest, transform, and store data
- And much more
Zielgruppen
- Data platform engineers
- Architects and operators who build and manage data analytics pipelines
Vorkenntnisse
- Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course
- We suggest the AWS Hadoop Fundamentals course for those that need a refresher on Apache Hadoop
- We recommend that attendees of this course have:
- Completed either AWS Technical Essentials or Architecting on AWS
- Completed either Building Data Lakes on AWS or Getting Started with AWS Glue