Post Syndicated from Tina Kelleher original https://aws.amazon.com/blogs/big-data/getting-started-training-resources-for-big-data-on-aws/
Trying something new can often be a daunting task. Where do you start? What resources are available to help guide you through unfamiliar territory? Where can you go if you need additional help?
Whether you’ve just signed up for your first AWS account or you’ve been with us for some time, there’s always something new to learn as our services evolve to meet the ever-changing needs of our customers. To help ensure you’re set up for success as you build with AWS, we put together this quick reference guide for Big Data training and resources available here on the AWS site.
Training and resources for Big Data
This free course provides a baseline general knowledge of some of the technologies used in Big Data solutions.
Here, you’ll find a round-up of all things Big Data, including comprehensive, step-by-step project guides to walk you through production-ready solutions, tutorials, labs and additional resources broken out by service.
This site is a fantastic resource, offering free and unlimited access to more than 100 digital training courses built by AWS experts. This link will take you directly to the Analytics category for all things Big Data on AWS, but you can always browse and search the site for other courses. Here are a few quick links for service-specific training:
- Introduction to Amazon EMR (15 minutes)
- Introduction to Amazon Athena (10 minutes)
- Introduction to Amazon QuickSight (10 minutes)
- Introduction to Amazon Redshift (10 minutes)
- Introduction to Amazon Kinesis Analytics (10 minutes)
- Introduction to Amazon Kinesis Streams (15 minutes)
Classroom training options
If you prefer the interactive nature of a classroom environment, register for any of these courses (near you or online) to learn best practices, get live feedback, and receive answers to your questions in real-time from the class instructor.
Data Warehousing on AWS (3 days)
Introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution, and demonstrates how to collect, store, and prepare data for the data warehouse.
Building a Serverless Data Lake (1 day)
Teaches you how to design, build, and operate a serverless data lake solution with AWS services. Includes topics such as ingesting data from any data source at large scale, storing the data securely and durably, using the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time.