Curso: Building Modern Data Analytics Solutions on AWS

Our “Building Modern Data Analytics Solutions on AWS” course collection is designed for businesses. These courses dive deep into Amazon Lake Formation, Glue, EMR, Kinesis, and Redshift, offering hands-on knowledge about building and operating modern data analytics processes. Regardless of where your organization or your customers are in the data modernization process, this set of training courses will help you choose the right learning path to meet your specific business needs.

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Overview

Objectives: In the four-course collection Building Modern Data Analytics Solutions on AWS, you will receive comprehensive training to develop modern data skills, including:

How to leverage AWS data services to store, process, analyze, stream, and query data to make decisions with speed and agility at scale.
How to modernize data solutions from start to finish.
Skills to put your data to work to make better, more informed decisions, respond faster to the unexpected, and discover new opportunities.

Course outline

Curso 1: Building Data Lakes on AWS

Module 1: Introduction to data lakes
Module 2: Data ingestion, cataloging, and preparation
Module 3: Data processing and analytics
Module 4: Building a data lake with AWS Lake Formation
Module 5: Additional Lake Formation configurations
Module 6: Architecture and course review

Curso 2: Building Batch Data Analytics Solutions on AWS

Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Introduction to Amazon EMR
Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage
Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive
Module 5: Serverless Data Processing
Module 6: Security and Monitoring of Amazon EMR Clusters
Module 7: Designing Batch Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWS

Curso 3: Building Data Analytics Solutions Using Amazon Redshift

Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Using Amazon Redshift in the Data Analytics Pipeline
Module 2: Introduction to Amazon Redshift
Module 3: Ingestion and Storage
Module 4: Processing and Optimizing Data
Module 5: Security and Monitoring of Amazon Redshift Clusters
Module 6: Designing Data Warehouse Analytics Solutions
Module B: Developing Modern Data Architectures on AWS

Curso 4: Building Streaming Data Analytics Solutions on AWS

Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Using Streaming Services in the Data Analytics Pipeline
Module 2: Introduction to AWS Streaming Services
Module 3: Using Amazon Kinesis for Real-time Data Analytics
Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
Module 6: Securing, Monitoring, and Optimizing Amazon MSK
Module 7: Designing Streaming Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWS

Highlights

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Pricing

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