Aws Certified Data Engineer Associate (Dea–C01) Training

What you'll learn
AWS Data Analytics Ecosystem: Understand the various AWS services tailored for data analytics and their ideal use-cases.
Hands-on Experience: Get practical experience with AWS analytics services by working through real-world scenarios and projects.
Exam Readiness: Equip yourself with the knowledge and confidence to pass the AWS Certified Data Engineer Associate exam.
Best Practices: Learn industry-standard best practices and methodologies for managing and analyzing data on AWS. (2) What are the requirements or prerequisites
Requirements
Desire to Learn: Passion and dedication to delve deep into AWS data engineering.
Description
*The Data Analytics - Specialty exam will be discontinued on April 8, 2024 and will be replaced by the AWS Certified Data Engineer - Associate. The content of this course is also scheduled to be updated according to the official announcement.Contents of the course:1 : AWS Certification Exam and Preparation2: Introduction to Each Service1 : Collection2 : Storage and Data Management3 : Processing4 : Analysis and Visualization5 :Security3 : Practice Test4 : SummaryDive deep into the world of AWS Data Analytics with our comprehensive and meticulously designed "AWS Certified Data Engineer Associate" course. This course isn't just about passing an exam; it's about giving you the foundational knowledge and hands-on skills to leverage AWS's vast data analytics ecosystem efficiently.Starting from the intricacies of AWS's data storage solutions to real-time analytics, this course encompasses it all. Our tailored modules will guide you through the dynamic landscape of big data, data lakes, and machine learning integrations on AWS. With rich content, we'll delve into the depths of services like Kinesis, Redshift, EMR, and more, ensuring you not only understand their functions but can also design and deploy data solutions.Our real-world scenarios and projects give you a tangible feel of what AWS data analytics entails in the corporate world. Moreover, our interactive quizzes and tests ensure that you're exam-ready at any time. This course's beauty lies in its versatility: whether you're an analytics veteran aiming to update your skills or a newcomer venturing into the data realm, we cater to all needs.Additionally, we understand that questions arise and learning can be challenging. That's why we offer dedicated support throughout your journey, ensuring no query goes unanswered. Dive in now and equip yourself with a potent blend of theory and practice in AWS data analytics, positioning yourself at the forefront of this burgeoning field. Your path to mastering AWS Data Engineering starts here!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course Material
Lecture 3 Notice: Newly added certification Data Engineer Associate
Section 2: Chapter 1 : AWS Certification Exam and Preparation
Lecture 4 1-1.What is AWS
Lecture 5 1-2.Overview of the AWS Certification Exam
Lecture 6 1-3.Creating an AWS Account
Section 3: Chapter 2 : Introduction to Each Service
Lecture 7 Overview of Data Pipeline
Section 4: Domain1 : Collection
Lecture 8 Data Type and Data Format
Lecture 9 Amazon Kinesis
Lecture 10 Kinesis Data Stream (KDS)
Lecture 11 Kinesis Data Firehose (KDF)
Lecture 12 Kinesis Data Analytics (KDA)
Lecture 13 Amazon SQS
Lecture 14 Amazon Managed Streaming for Apache Kafka
Lecture 15 Migration (Snow Family, Transfer Family, DataSync, DMS)
Lecture 16 Data Exchange, AppFlow
Section 5: Domain 2 : Storage and Data Management
Lecture 17 Data Type and Storage Services
Lecture 18 Amazon S3 - Outline
Lecture 19 Amazon S3 - Access Control
Lecture 20 Amazon S3 - Other features
Lecture 21 AWS Lake Formation
Lecture 22 Overview of database services
Lecture 23 Relational: Amazon RDS and Amazon Aurora
Lecture 24 Amazon Redshift - Outline
Lecture 25 Amazon Redshift - Architecture
Lecture 26 Amazon Redshift - Spectrum
Lecture 27 Amazon DynamoDB - Outline
Lecture 28 Amazon DynamoDB - Capacity Mode
Lecture 29 Amazon DynamoDB - Key and Secondary Indexes
Lecture 30 Amazon DynamoDB - DynamoDB Streams
Lecture 31 Amazon DynamoDB - DAX
Lecture 32 Amazon DynamoDB - Global Table
Lecture 33 Amazon ElastiCache - Outline
Lecture 34 Amazon ElastiCache - Redis and Memcached
Lecture 35 Amazon ElastiCache - Memached
Lecture 36 Amazon ElastiCache - Redis
Lecture 37 Amazon ElastiCache - Cost
Lecture 38 Amazon DocumentDB - MongoDB
Lecture 39 Amazon DocumentDB - Outline
Lecture 40 Amazon Neptune
Lecture 41 Amazon Timestream
Section 6: Domain 3 : Processing
Lecture 42 ETL Processing
Lecture 43 AWS Glue
Lecture 44 AWS Lambda
Lecture 45 Amazon EMR
Lecture 46 AWS Step Functions
Lecture 47 Amazon API Gateway
Lecture 48 Amazon AppSync
Section 7: Chapter 3 : Practice Test
Lecture 49 Introduction for Practice Test
Section 8: Chapter 4 : Summary
Lecture 50 Summary with Bonus Track
Aspiring Data Engineers and Data Scientists who want to leverage AWS for data analytics tasks.

Homepage

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