Leveraging Presto for Data Analytics on AWS Cloud

Overview

Discover how to migrate data to AWS and harness Presto's SQL capabilities for enhanced analytics, accelerating your data-driven decision-making process and workflow optimization.

Syllabus

• Course Introduction
Overview of Course Objectives
Importance of Data Analytics on Cloud Platforms
Introduction to AWS Cloud and Presto
• Understanding AWS for Data Analytics
Overview of AWS Services Relevant to Data Analytics
Introduction to Amazon S3, EC2, and RDS
Data Storage and Management on AWS
• Introduction to Presto
History and Evolution of Presto
Key Features and Capabilities of Presto
Use Cases for Presto in Data Analytics
• Preparing Your Data for Migration
Assessing Current Data Infrastructure
Best Practices for Data Cleaning and Transformation
Selecting Data for Migration
• Migrating Data to AWS
Detailed Guide to Using AWS Snowball and AWS DataSync
Security Considerations During Migration
Monitoring and Validating Data Migration
• Setting Up Presto on AWS
AWS Infrastructure Setup: EC2 Clusters for Presto
Installation and Configuration of Presto
Optimizing Presto Performance on AWS
• Working with Presto: SQL Capabilities
Writing and Executing SQL Queries in Presto
Advanced SQL Functions in Presto
Performance Tuning and Query Optimization
• Data Analysis and Visualization
Integrating Presto with Third-Party BI Tools
Creating Dashboards and Visual Reports
Case Studies: Real-World Data Analysis Scenarios
• Workflow Optimization with Presto and AWS
Automating Data Pipelines Using AWS Services
Best Practices for Workflow Automation and Optimization
Continuous Integration and Delivery in Data Workflows
• Best Practices and Advanced Techniques
Security Best Practices for Data Analytics on AWS
Scaling and Load Balancing Presto Clusters
Advanced Tuning and Resource Management
• Final Project: Data Analytics Solution Design
Requirements for the Final Project
Step-by-Step Guidance on Solution Implementation
Presentation and Feedback
• Course Conclusion
Recap of Learned Concepts
Future Trends in Cloud Data Analytics
Additional Resources and Further Learning Paths

---

Subjects

Data Science