Building Modern Data Analytics Solutions on AWS Course Overview
The "Building Modern Data Analytics Solutions on AWS" course equips professionals with the skills to leverage AWS tools for effective data analytics. This course is essential for data scientists, analysts, and IT professionals seeking to enhance their ability to transform data into actionable insights, driving informed decision-making in today's data-driven landscape.
Course outline & what you'll learn
Overview of data analytics processes
- Importance of cloud computing in data analytics
- Introduction to AWS services for data analytics
Overview of Amazon S3, Amazon Redshift, Amazon Athena, and AWS Glue
- Strategies for data ingestion
- Using Amazon Kinesis and AWS IoT for real-time data
- Data storage options in Amazon S3 and data lake architecture
- ETL processes using AWS Glue
- Serverless data processing with AWS Lambda
- Batch vs. stream processing
- Using Amazon QuickSight for data visualization
- Analyzing data with Amazon Redshift and Amazon Athena
- Integrating with third-party BI tools
- Introduction to AWS machine learning services
- Using Amazon SageMaker for predictive analytics
- Integrating machine learning models with data analytics workflows
- Best practices for securing data analytics solutions
- Understanding data governance on AWS
- Compliance considerations in data analytics
- Case studies of data analytics solutions on AWS
- Industry-specific applications and success stories
- Recap of key concepts and takeaways
- Resources for further learning and certification paths
Why train with Traincrest
This AWS course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.