Become An Aws Certified Data Engineer

Learn how to become an AWS Certified Data Engineer -Associate with hands-on learning.

[b]What you'll learn[/b]

Understanding AWS data storage options: Amazon S3, RDS, DynamoDB

Ingest and transform data, and orchestrate data pipelines while applying programming concepts.

Choose an optimal data store, design data models, catalog data schemas, and manage data lifecycles.

Operationalize, maintain, and monitor data pipelines. Analyze data and ensure data quality

Implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues

Working with AWS Data Pipeline for data movement and processing

Key concepts of AWS Glue for ETL processes

Querying data in S3 using AWS Athena

[b]Requirements[/b]

An understanding of the AWS services for encryption, governance, protection, and logging of all data that is part of data pipelines

The ability to compare AWS services to understand the cost, performance, and functional differences between services

AWS Foundational knowledge of services

General concepts for networking, storage, and compute

[b]Description[/b]

The AWS Certified Data Engineer - Associate (DEA-C01) exam validates a candidate's ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices.[v2024: This course is based on the current beta exam and the official exam guide. We'll keep it updated as final exams are released by AWS. Happy learning]You should have the equivalent of 2-3 years of experience in data engineering. The target candidate should understand the effects of volume, variety, and velocity on data ingestion, transformation, modeling, security, governance, privacy, schema design, and optimal data store design. Additionally, the target candidate should have at least 1-2 years of hands-on experience with AWS services.Why should you get AWS Certified?Getting AWS Certified can help you propel your career, whether you're looking to find a new role, showcase your skills to take on a new project, or become your team's go-to expert. And because AWS Certification exams are created by experts in the relevant role or technical area, preparing for one of these exams helps you build the required skills identified by skilled practitioners in the field.See what our students say "It is such a comprehensive course that I don't need to take any other course but this one to learn all important concepts and hand-on application with this AWS Certified Data Engineer - Associate course, and I would without a doubt recommend it to everyone." - Martha Jones"This is such an awesome course. Clear instruction, and I loved every bit of it - Wonderful learning experience!" Carlos Nelson.Join thousands of other students and share valuable experience.This course also comes with:Lifetime access to all future updatesA responsive instructor in the Q&A SectionUdemy Certificate of Completion Ready for DownloadA 30 Day "No Questions Asked" Money Back Guarantee!FREE AWS Certified Data Engineer- Associate quizzes and sample exam within this course.FREE E-Book on AWS Cost OptimizationWhy take this course?As 8x AWS, Microsoft, and Cisco Certified, a senior Enterprise Architect & Project Manager managing and deploying enterprise level IT projects, my experience with AWS has been phenomenally great! I am excited to share my knowledge and transfer skills to my students. Enroll now in AWS Certified Data Engineer - Associate (DEA-C01) course today and revolutionize your learning. Stay at the cutting edge of certification and AWS architectures- and enjoy bigger, brighter opportunities.See you in class.Syed Team ClayDesk

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Structure and Agenda

Lecture 3 Important Note

Lecture 4 Day-to-Day Activities of an AWS Data Engineer

Lecture 5 Note Taking

Lecture 6 The Value of AWS Certified Data Engineer

Lecture 7 What is Data Analytics and Data Analysis Solutions

Lecture 8 How to Create S3 Bucket with Amazon Q and New AWS Management Console

Lecture 9 Challenges of Data Analytics

Section 2: Data Ingestion and Transformation (34% of scored content)

Lecture 10 Throughput VS Latency

Lecture 11 Replayability, Stateful Vs Stateless Transactions

Lecture 12 ETL Process

Lecture 13 AWS Step Functions Use Cases Architectures

Lecture 14 Exercise: AWS Step Functions

Lecture 15 AWS Step Functions Workshop

Lecture 16 AWS Athena

Lecture 17 What is Kubernetes?

Lecture 18 How to Create Kubernetes Cluster?

Lecture 19 Cloud VS Distributed Computing

Lecture 20 Common Data Transformation Issues and Debugging

Lecture 21 Understanding DevOps

Lecture 22 Continuous Integration Continuous Delivery

Lecture 23 CICD Difference

Lecture 24 What is Fan-in Fan-out in Stream Data Distribution

Lecture 25 Understanding Even Driven Architecture

Lecture 26 How to configure AWS services for data pipelines?

Section 3: Cloud Data Migration

Lecture 27 Cloud Migration Benefits

Lecture 28 Cloud Migration Strategies

Lecture 29 Cloud Migration Process

Lecture 30 AWS Migration Hub

Lecture 31 Discovering your network infrastructure

Lecture 32 Migrating your network infrastructure

Lecture 33 Amazon EC2 recommendations

Lecture 34 Migration acceleration program

Lecture 35 AWS managed services

Lecture 36 AWS Cloud data migration services

Lecture 37 Online and offline data migration

Lecture 38 Server migration service

Lecture 39 How database migration service works

Lecture 40 Database migration use cases

Lecture 41 AWS Schema conversion tool

Lecture 42 Sample database migration to AWS

Lecture 43 Database migration best practices

Section 4: Domain 2: Data Store Management (26% of scored content)

Lecture 44 Data Volume

Lecture 45 Types of Data

Lecture 46 AWS S3 Storage Explained

Lecture 47 How to Create Amazon S3 Bucket

Lecture 48 Create S3 Bucket and Cross Region Replication

Lecture 49 Introduction to Data Lakes Architecture

Lecture 50 AWS Data Lake In-Depth

Lecture 51 AWS Glue - AWS Athena

Lecture 52 Data Storage Methods

Lecture 53 Data Warehouses

Lecture 54 Amazon RDS

Lecture 55 Amazon DynamoDB

Lecture 56 AWS DynamoDB Hands-on Lab

Lecture 57 Amazon SageMaker

Section 5: AWS Sage Maker and Machine Learning

Lecture 58 The AWS Machine Learning Service

Lecture 59 First steps in building a ML Model

Lecture 60 Understanding AWS Datasources

Lecture 61 ML Training Models

Lecture 62 Importance of Feature Transformation

Lecture 63 Evaluating Models

Lecture 64 Preparing data for Machine Learning

Lecture 65 Creating a datasource and model in AWS

Lecture 66 Serverless ML Inference with AWS Lambda

Lecture 67 What is SageMaker Revisited

Lecture 68 Setting up AWS to use SageMaker

Lecture 69 Machine Learning in SageMaker

Lecture 70 Intro to Linear Learner

Lecture 71 Preparing data for Linear Learner algorithm

Lecture 72 Training data using Linear Learner

Lecture 73 Creating a hyperparameter tuning job

Section 6: Domain 3: Data Operations and Support (22% of scored content) Velocity Data

Lecture 74 Batch Data Processing

Lecture 75 Batch Processing Architecture

Lecture 76 Velocity of Data Challenges

Lecture 77 Stream Data Processing

Section 7: AWS EC2 Deep Dive

Lecture 78 EC2 Basic Infrastructure

Lecture 79 Viewing your service limits

Lecture 80 Instance lifecycle

Lecture 81 Instance Types

Lecture 82 Launching your first instance

Lecture 83 Working with launch templates

Lecture 84 Launching an instance from an existing instance

Lecture 85 Instance states

Lecture 86 Connecting to a Windows Instance

Lecture 87 Connecting to a Linux Instance

Lecture 88 Configuring your instance

Lecture 89 Creating and sharing AMIs

Lecture 90 Copying AMIs

Lecture 91 Working with AMIs

Lecture 92 Monitoring an EC2 Instance

Lecture 93 EC2 Monitoring Lab

Lecture 94 Using CloudTrail to Audit Users

Section 8: Data Structure and Types

Lecture 95 Data Variety Problem: Source Data Storage

Lecture 96 Structured Data Stores

Lecture 97 Introduction to semi-structured and unstructured data stores

Lecture 98 AWS RDS

Section 9: Veracity Cleansing and Data Transformation

Lecture 99 Data Veracity

Lecture 100 Common Data Issues

Lecture 101 Database Consistency

Lecture 102 AWS ElasticCache

Lecture 103 AWS AppStream

Lecture 104 AWS GuardDuty

Section 10: Reporting and Business Intelligence

Lecture 105 Value in Data Analysis Solution

Lecture 106 Types of Analytics

Lecture 107 Visualizing Data

Lecture 108 Creating Your First Visual With AWS QuickSight

Lecture 109 AWS UI Hub

Lecture 110 Uploading Data Set to S3

Lecture 111 Creating Database and Tables

Lecture 112 Making Connection AWS Athena to AWS QuickSight

Lecture 113 AWS Sample Dataset

Lecture 114 Upgrading AWS QuickSight to Enterprise and VPC

Lecture 115 Importing CSV Data

Lecture 116 AWS RDS Connection to AWS QuickSight

Section 11: Domain 4: Data Security and Governance (18% of scored content)

Lecture 117 Principle of Least Privilege as it applies to AWS Security

Lecture 118 AWS Virtual Private Cloud (VPC) Introduction

Lecture 119 Understanding Amazon VPC and Subnets

Lecture 120 How to Create AWS VPC Hands-on Lab

Lecture 121 VPC Security Networking Components

Lecture 122 VPC Security

Lecture 123 Difference Between Managed Services and Unmanaged Services

Lecture 124 What is AWS IAM?

Lecture 125 IAM Roles and Policies

Lecture 126 IAM Users and Groups

Lecture 127 IAM Federated Users and Best Practices

Lecture 128 IAM Design Principles

Lecture 129 CloudWatch

Lecture 130 CloudTrail

Section 12: Conclusion

Lecture 131 Key Takeaways

Section 13: Practice Exam Questions

Section 14: Practice Exam #2

Section 15: Resources

Lecture 132 AWS Certified Data Engineer Exam Guide

Lecture 133 Download Resources

Section 16: Additional Key Topics and Readings

Lecture 134 Amazon EventBridge

Lecture 135 Amazon Macie

Lecture 136 How to Determine DPU Capacity?

Lecture 137 Amazon SQS

Lecture 138 Apache Hive on AWS

Lecture 139 Data filters in Lake Formation

Lecture 140 What is a Data Share? Amazon RedShift Data Share

Lecture 141 How to Rotate AWS Secrets Manager secrets

Anyone who wants to get AWS Certified Data Engineer Associate certification,Beginner who wants to get into cloud computing and get AWS certified

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