Big Data. Curso básico de big data en el cloud de Amazon AWS
Master big data with AWS! Learn Kinesis, DynamoDB, EMR, Redshift & QuickSight. Build powerful data solutions in the cloud.
Course Content
Big Data. Curso básico de big data en el cloud de Amazon AWS is a beginner-level Udemy course taught by Redait Media. It runs 3h 20m, is taught in Spanish, and includes a certificate of completion. Learners rate it 4.2 out of 5 from 171 reviews, with 8,940 students enrolled. It is a paid course, last updated June 2025.
Explore the exciting world of big data with this comprehensive introduction to Amazon AWS cloud services! This course provides hands-on experience with key tools and techniques for collecting, storing, processing, and visualizing large datasets.
Here's a breakdown of what you'll learn:
- Data Collection: Master the art of ingesting data into AWS using services like:
- Kinesis Data Streams: Real-time data streaming.
- Kinesis Data Firehose: Reliable data delivery to data lakes and analytics services.
- Kinesis Video Streams: Capture and process video streams.
- Kinesis Data Analytics: Real-time analytics on streaming data.
- Data Pipelines: Learn to build robust data pipelines to efficiently move and transform data.
- Data Storage: Discover various options for storing your big data:
- Glacier: Cost-effective archival storage.
- DynamoDB: A fully managed NoSQL database for high-performance applications. We'll cover:
- DynamoDB Partitioning: Optimizing data distribution.
- DynamoDB Secondary Indexes: Enhancing query performance.
- DynamoDB Streams: Capturing data changes.
- DynamoDB Performance: Tuning for optimal speed.
- Creating DynamoDB Tables and Items: Practical table design.
- Data Processing: Unleash the power of big data processing with:
- EMR (Elastic MapReduce): A managed Hadoop framework for large-scale data processing. We'll explore:
- EMR Architecture: Understanding the components.
- EMR Operations: Managing your EMR clusters.
- EMR Applications: Utilizing various big data tools.
- EMR Spark: Fast and powerful data processing.
- EMR File Storage: Managing data within EMR.
- AWS Lambda: Serverless compute for event-driven data processing.
- HCatalog & Glue: Data cataloging and ETL (Extract, Transform, Load) services.
- EMR (Elastic MapReduce): A managed Hadoop framework for large-scale data processing. We'll explore:
- Data Visualization: Transform data into actionable insights with:
- QuickSight: A fast, cloud-powered business intelligence service.
This course includes practical laboratories and exercises using Kinesis, DynamoDB, EMR, Redshift, and QuickSight on the Amazon AWS platform. You can easily create a free AWS account to participate.
- No prior experience is required.
- All lessons are short, easy-to-understand videos.
- 30-day money-back guarantee – try it risk-free!
Start your journey into the world of big data today! We'll see you in the course!
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