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Data Analytics on AWS: An Architectural Guide

Name: Data Analytics on AWS: An Architectural Guide
Price: 59 USD
Author: GroveFlow Inc

Become an AWS pro with hands-on experience in data analytics and management, developed by AWS Solution Certified Architects. No setup, no cleanup, no hassle.

4.5

40 lessons

1 project

10h

Created by GroveFlow Inc

Data Analytics on AWS: An Architectural Guide

What's included

40 lessons across 8 modules
7 quizzes with instant feedback
1 project in preconfigured environments
AI Tutor on every lesson

Join 3.1 million developers at

What You'll Learn

An understanding of the different AWS data analytics services and their applications
Hands-on experience using AWS tools for analytics and insights, including Amazon QuickSight and Amazon Athena
Familiarity with data sources and AWS services for data migration
Ability to create and manage AWS data lakes

Learning Roadmap

40 Lessons7 Quizzes

Overview

Learn how to use AWS analytics services for data management and business insights.

Seamless Data Movement

Purpose-Built Analytics and Insights

Quiz: Overview

Data Sources

Discover the logic behind AWS data sources, including databases, file shares, devices, and SaaS applications.

SQL and NoSQL Databases

File Shares

Devices, Logs, and Social Media

SaaS Applications

Quiz: Data Sources

Data Ingestion

8 Lessons

Explore the diverse AWS tools for seamless data migration, real-time streaming, and IoT integration.

Scalable Data Lake

3 Lessons

Grasp the fundamentals of Amazon S3 and AWS Lake Formation for scalable data lakes.

Unified Governance

2 Lessons

Map out the steps for securing and governing data with AWS Lake Formation.

Seamless Data Movement

3 Lessons

Investigate AWS Glue and DataBrew for efficient ETL and data preparation on AWS.

Purpose-Built Analytics and Insights

10 Lessons

Build on the use of AWS analytics tools for real-time data analysis and insights.

Wrap Up

Get familiar with optimizing data analytics tools on AWS and exploring multivendor solutions.

AWS and Beyond

Scalable Machine Learning Model for Accurate Predictions on AWS

Project

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

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About this course

WHY I WROTE THIS COURSE

Due to the widespread adoption of the internet and the prevalence of connected devices, a large amount of data is generated every second. This abundance of data allows businesses to gather valuable insights and reinvent their businesses. Amazon Web Services (AWS) offers a range of solutions to help address these challenges. This course provides an overview of the data management and analytics services provided by AWS. You’ll begin with understanding different databases and how to migrate data between them. Then, you’ll learn about Amazon Simple Storage Service (S3) and set up data lakes. Next, you’ll learn about AWS data security features, including S3 encryption, Lake Formation access controls, and audit logging. You’ll also set up and run Extract, Transform, and Load (ETL) workflows on AWS Glue. You’ll finish with in-depth purpose-built analytics tools in AWS. By the end of this course, you’ll have mastered the data analytics and management tools that AWS offers.

ABOUT THE AUTHOR

GroveFlow Inc

GroveFlow supports companies and their staff members in gaining insights from their mission-critical data.

Learn more about GroveFlow

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