Data & Analytics on AWS

Unlock the Power of Cloud Data: A Deep Dive into AWS S3, Glue, Athena & QuickSight

Master data storage, processing, and visualization with this comprehensive guide to AWS's leading data services.

AWS S3: Scalable & Secure Cloud Storage

• What is AWS S3? Discover the fundamentals of Amazon Simple Storage Service (S3), a highly scalable, durable, and secure object storage service. Learn how S3 can be leveraged for various data storage needs.
• Uploading Data to S3: Get hands-on experience uploading sample data files to your S3 bucket.
• Key S3 Features: Explore essential S3 features including:
  • Object Lifecycle: Automate data management by defining rules for object transitions.
  • Object Lock: Implement data retention policies for compliance and protection.
  • S3 Replication: Ensure data durability and availability across regions.
  • Presigned URLs: Grant temporary access to S3 objects securely.
  • S3 Event Notifications: Trigger actions based on S3 object events.
  • Strong Consistency: Understand S3's strong read-after-write consistency model.
  • S3 Select: Query data directly within S3 objects using SQL.
  • S3 Batch Operations: Perform large-scale operations on S3 objects.
  • Hosting a Static Website: Quickly deploy and host a static website from your S3 bucket.
• S3 Storage Classes: Compare and contrast different S3 storage classes (e.g., Standard, Intelligent-Tiering, Glacier) to optimize cost and performance for your data.

AWS Glue: Serverless Data Integration

• What is AWS Glue? Learn about AWS Glue, a fully managed extract, transform, and load (ETL) service. Understand its architecture and core capabilities.
• Glue Components & Features:
  • Spark Streaming Jobs: Process real-time data streams with Glue's Spark integration.
  • Glue Crawler: Automatically discover and catalog data in your S3 buckets.
  • Data Catalog: Build a centralized metadata repository for your data assets.
  • Developing AWS Glue ETL Jobs: Create and execute ETL jobs using Glue Studio, including interactive sessions.
  • Glue Workflow & Triggers: Orchestrate complex data pipelines with Glue workflows and event-driven triggers.
  • AWS Glue Schema Registry: Manage and enforce data schemas for improved data quality.
• Glue Studio & ETL Development: Develop Glue ETL jobs using the visual interface of Glue Studio with interactive sessions for efficient data transformation.

AWS Athena: Serverless Querying of S3 Data

• What is AWS Athena? Discover AWS Athena, a serverless interactive query service that allows you to analyze data directly in S3 using standard SQL.
• Ad-hoc Queries: Learn how to run ad-hoc queries on your data stored in S3 with Athena.

AWS QuickSight: Business Intelligence & Data Visualization

• What is AWS QuickSight? Explore AWS QuickSight, a fast, cloud-powered business intelligence (BI) service.
• BI Dashboard Creation: Learn how to create interactive BI dashboards from raw and transformed data stored in S3, leveraging Athena and Glue.

Hands-on Labs & Enterprise Project

• Practical Labs: Gain practical experience with hands-on labs covering:
  • AWS S3 bucket creation
  • AWS Glue setup and configuration
  • AWS Athena query execution
  • AWS QuickSight dashboard development
• Enterprise Project: A comprehensive project demonstrating a complete data pipeline:
  • Loading data into an S3 bucket.
  • Using Glue Crawler to automatically catalog the data.
  • Developing Glue ETL jobs to transform and enrich the data.
  • Building interactive analytics dashboards using QuickSight to visualize both raw and transformed data. This showcases a real-world application of cloud data warehousing and analytics.