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Build a Data Warehouse in AWS 

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Build a Data Warehouse in AWS
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Coursera 
Overview

Duration

15 hours

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Total fee

Free

Mode of learning

Online

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Credential

Certificate

Build a Data Warehouse in AWS
 at 
Coursera 
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Build a Data Warehouse in AWS
 at 
Coursera 
Course details

What are the course deliverables?
  • What you'll learn
  • Working with AWS services, SQL, Data warehousing, Amazon Redshift, Amazon Redshift Serverless, Redshift Spectrum, and ETL in Amazon Redshift.
More about this course
  • Embark on a transformative journey with our "Build a Data Warehouse in AWS" course, immersing yourself in the landscape of Amazon Redshift. This comprehensive course equips you with the essential skills not only to navigate but also to harness the full potential of this robust cloud-based data warehousing solution. During this course, you will explore the applications of AWS data warehousing solutions and delve into its fundamentals. By the end of this course, you will be able to:
  • - Explore and understand the concepts of AWS Services used for Data Warehousing in AWS.
  • - Gain proficiency in creating and managing IAM users and groups, understanding IAM policies and roles, and applying this knowledge in practical, hands-on scenarios.
  • - Differentiate between traditional and cloud storage, operate Simple Storage Service, and understand various storage classes and versioning in AWS S3.
  • - Gain a solid understanding of Amazon Redshift and effectively utilize it for data warehousing needs.
  • - Effectively set up and managed a data warehouse using Amazon Redshift.
  • - Develop a thorough understanding and practical expertise in implementing ETL (Extract, Transform, Load) processes in Amazon Redshift.
  • - Acquire knowledge on monitoring and optimizing the performance of Amazon Redshift environments.
  • This course is designed for Data Engineers, Cloud Solution Architects, Data Analysts, Database Administrators (DBAs), Software Developers, and Engineers seeking to explore the AWS Data Warehouse and its applications.
  • Prior working experience with RDBMS, SQL, and AWS is recommended but optional for this course.
  • Begin an educational journey to learn about the Data Warehouse in AWS and its concepts for handling and analyzing large volumes of data.
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Build a Data Warehouse in AWS
 at 
Coursera 
Curriculum

Introduction to AWS Services

Course Introduction

Introduction to Cloud Computing

Cloud Computing Service Models

Cloud Computing Deployment Models

Amazon Web Services and Its Benefits

Amazon Regions and Availability Zones

What is a Free Tier Account?

Signup an AWS Free Tier Account

Different Amazon Web Services

Ways to access AWS: CLI, Console, and SDKs

Identity and Access Management (IAM)

Concept of Creating and Managing an IAM Users

Creating and Managing IAM Users on Management Console

Create a New IAM User Group

Creating an IAM Role

IAM Policies

Amazon Elastic Compute Cloud (EC2)

Amazon Machine Image (AMI) and Instance Types

Security Groups in AWS

Creating an EC2 instance

Creating a Custom AMI

Overview of Simple Storage Service

Working on S3 and Bucket Policy

Creation of an S3 Bucket

Versioning in AWS S3

Course Syllabus: Build a Data Warehouse in AWS

Data Center and Virtualization

How to Use Discussion Forums

Configuration of AWS CLI

Creating Policies for New Users

Miscellaneous topics on IAM

Networking Layer in EC2

Elastic Block Store (EBS)

Traditional Storage and Cloud Storage

Summary

Graded Knowledge Check: Introduction to AWS Services

Practice Knowledge Check: Introduction to Cloud Computing and AWS

Practice Knowledge Check: AWS Free Tier Account

Practice Knowledge Check: Identity and Access Management in AWS

Practice Knowledge Check: Compute Services in AWS

Practice Knowledge Check: Storage Services in AWS

How does AWS and cloud computing improve business efficiency?

How has AWS Free Tier impacted your cloud experience?

How does AWS IAM strengthen security? Share best practices for user access in AWS.

How does EC2's elasticity optimize costs in AWS?

What makes Amazon S3 stand out in AWS storage? Discuss its advantages, use cases, and how it addresses common challenges for businesses in the cloud.

Empowering Data Warehousing using SQL and AWS

Overview of Virtual Private Cloud (VPC) and its Components

VPC and Subnets

Internet Gateways and Route Tables

Database Services Provided by AWS

Amazon RDS

RDS Database Instances

Identity and Access Management in Amazon RDS

Creation of RDS

Introduction to SQL

DDL Commands

DQL Commands

DML Commands

DCL Commands

Introduction to Data Warehousing

Data Warehouse Components

Data Modeling in Data Warehousing

ELT Processes in Data Warehousing

Benefits and Challenges of Data Warehousing

CIDR, Private vs Public IP

AWS Networking Terminologies

TCL Commands

Summary

Graded Knowledge Check: Empowering Data Warehousing using SQL and AWS

Practice Knowledge Check: Networking using AWS

Practice Knowledge Check: Databases in AWS

Practice Knowledge Check: Overview of SQL

Practice Knowledge Check: Introduction to Data Warehousing

Discuss the advantages and challenges of networking on AWS, focusing on key features and best practices for scalability and reliability

How do AWS databases enhance scalability and performance in cloud applications? Discuss key services and considerations for various use cases

What are the key principles and functionalities of SQL, and how does it serve as a fundamental tool for managing and manipulating relational databases?

How does data warehousing contribute to effective decision-making in organizations? Discuss key concepts, benefits, and real-world applications.

Fundamentals of Amazon Redshift

Introduction to Amazon Redshift

Features of Amazon Redshift: Key Features and Capabilities

Features of Amazon Redshift: Price Performance

Architecture of Redshift Data Warehouse

Working of Redshift

Data Processing Flow in Amazon Redshift

Why use Amazon Redshift: Setup Process

Why use Amazon Redshift: Better Performance

Amazon Redshift Serverless

Amazon Redshift Serverless Architecture

Amazon Redshift Provisioned Clusters: Introduction

Amazon Redshift Provisioned Clusters: Key Components

Amazon Redshift provisioned clusters Architecture: Illustration

Amazon Redshift provisioned clusters Architecture: Components

Comparison between Amazon Redshift Serverless and Provisioned Clusters

Clusters in Redshift

Nodes in Redshift

Amazon Redshift Serverless workgroups and namespaces

Columnar Storage in Amazon Redshift

Security in Amazon Redshift: Introduction

Security in Amazon Redshift: Data Encryption

Benefits and real-life use cases of Amazon Redshift

Redshift Pricing Model

Users and Groups in Amazon Redshift

Fundamentals of Amazon Redshift

Getting Started with Amazon Redshift

Classification of Amazon Redshift

Key Elements in Amazon Redshift

Share reasons why organizations might choose Amazon Redshift over other data warehousing solutions.

Discuss the real-world examples or case studies highlighting the effective use of Amazon Redshift Serverless and Provisioned Clusters.

Discuss the advantages of columnar storage over traditional row-based storage, especially in terms of query performance and data compression.

Build a Data Warehouse in Amazon Redshift

AWS Secrets Manager

Creating KMS for Redshift Serverless

IAM Roles Configuration for Redshift Query Editor v2

Creating Data Warehouse in Amazon Redshift

Creating Data Warehouse in Amazon Redshift: Demonstration

Uploading Sample Data to S3

Uploading Sample Data to S3: Demonstration

Create Tables in Query Editor v2

Loading Data from S3 to Amazon Redshift

Loading Data from S3 to Amazon Redshift: Demonstration

Running Sample Queries

Visualizing Queries

Visualizing Queries Demonstration

Materialized Views

Materialized Views Demonstration

Amazon Redshift Spectrum

Querying Data using Redshift Spectrum: IAM Role and Cluster Creation

Querying Data using Redshift Spectrum: Creating External Schema

Querying Data using Redshift Spectrum Demonstration: IAM Role and Cluster Creation

Querying Data using Redshift Spectrum Demonstration: Creating External Schema and Tables

ETL (Extract, Transform and Load): Introduction

ETL (Extract, Transform and Load): Working of ETL

Zero-ETL

Zero-ETL with Amazon Redshift Demonstration: Creating Database and Tables

Zero-ETL with Amazon Redshift Demonstration: Connecting to Aurora

Zero-ETL with Amazon Redshift Demonstration: Running Zero-ETL Queries

Monitoring cluster performance data

Monitoring query history data

Monitoring database performance data

Monitoring workload concurrency and concurrency scaling data

Course Summary: Build a Data Warehouse in AWS

Redshift Spectrum Pricing Model

Considerations when using zero-ETL integrations with Amazon Redshift

Introduction to Monitoring in Redshift

Project

Build a Data Warehouse in Amazon Redshift

Build a Data Warehouse in AWS

Setting up Data Warehouse in Amazon Redshift

Redshift Spectrum

ETL in Amazon Redshift

Monitoring in Amazon Redshift

Discuss the importance of Key Management Service (KMS) in the context of Redshift Serverless. How does it contribute to data encryption and security in a serverless environment?

Discuss strategies for optimizing performance when querying data using Redshift Spectrum. How can users fine-tune their queries to achieve faster results? Share your experiences in overcoming performance bottlenecks and ensuring efficient data retrieval.

Discuss key features of Amazon Redshift that make it suitable for Zero-ETL integrations.

Explore how monitoring individual queries and loads can contribute to performance tuning and optimization efforts.

Build a Data Warehouse in AWS
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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