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Aws Certified Database Specialty (Dbs-C01) Training - OneDDL - 12-22-2023
![[Image: 6aa294931168415f88de8ba06f68717b.jpeg]](https://i122.fastpic.org/big/2023/1223/7b/6aa294931168415f88de8ba06f68717b.jpeg)
Free Download Aws Certified Database Specialty (Dbs-C01) Training
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.07 GB | Duration: 7h 18m
Mastering AWS Database: Comprehensive Course From Basics to Specialty Certification
What you'll learn
AWS Database Ecosystem: Understand the various AWS services tailored for database and their ideal use-cases.
Hands-on Experience: Get practical experience with AWS database services by working through real-world scenarios and projects.
Exam Readiness: Equip yourself with the knowledge and confidence to pass the AWS Certified Database Specialty examination.
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 database.
Description
Prepare for the AWS Certified Database Specialty (DBS-C01) exam with this comprehensive training course on Udemy. This course is designed to cover all services included in the AWS Certified Database Specialty exam, providing you with an in-depth understanding of the exam pattern and the necessary strategies to excel. It features a mix of theoretical explanations and practical hands-on videos, ensuring you gain both the knowledge and the practical experience needed for the exam.The course structure includes:An overview of AWS, detailing the AWS certification exams and development tools.A section on various services, including hands-on chapters focusing on database-specific design, deployment and migration, management and operations, monitoring and troubleshooting, and security.Practice exercises to test your knowledge and prepare you for the types of questions you'll encounter in the exam.A summary section with exam tips, service resources, and additional learning resources.Whether you're new to AWS databases or looking to solidify your skills, this course offers a thorough guide to help you succeed in your certification journey.Contents of the course:1.Overview of AWS certification examWhat is AWSAWS certification and studyCreate an account2.Introduction of Each ServicesDatabase DesignDeployment & MigrationManagement & OperationMonitoring & TroubleshootingDatabase Security3.Practice Test4.Summary
Overview
Section 1: Introducetion
Lecture 1 Introduction
Lecture 2 Course Material
Section 2: Chapter 1 : AWS Certification Exam and Preparation
Lecture 3 1-1.What is AWS
Lecture 4 1-2.Overview of the AWS Certification Exam
Lecture 5 1-3.Creating an AWS Account
Section 3: Chapter 2 : Introduction to Each Service
Lecture 6 Outline of AWS Database
Section 4: Amazon RDS
Lecture 7 Database Design
Lecture 8 Deployment & Migration
Lecture 9 Management & Operation
Lecture 10 Monitoring & Troubleshooting
Lecture 11 Database Security
Lecture 12[Hands-on] RDS Creation
Lecture 13[Hands-on] RDS Read-replicas & Snapshots
Lecture 14[Hands-on] RDS Failover
Section 5: Amazon Aurora
Lecture 15 Database Design
Lecture 16 Deployment & Migration
Lecture 17 Management & Operation
Lecture 18 Monitoring & Troubleshooting
Lecture 19 Database Security
Lecture 20[Hands-on] Aurora Creation and Monitoring
Lecture 21[Hands-on] Aurora Backtrack and Failover
Lecture 22[Hands-on] Aurora Failover for Multi-Replicas
Section 6: Amazon Redshift
Lecture 23 Database Design
Lecture 24 Management & Operation
Lecture 25 Database Security
Lecture 26[Hands-on] Redshift Basic
Section 7: Amazon DynamoDB
Lecture 27 Capacity mode and prices
Lecture 28 Key and Index
Lecture 29 DynamoDB Streams
Lecture 30 DynamoDB Accelerator (DAX)
Lecture 31 Global Table
Lecture 32 Operation on DynamoDB
Lecture 33 Monitoring & Troubleshooting
Lecture 34 Troubleshooting
Lecture 35 Database Security
Lecture 36[Hands-on] DynamoDB Basic
Lecture 37[Hands-on] DynamoDB Scan and Query
Lecture 38[Hands-on] DynamoDB Global Secondary Indexes
Lecture 39[Hands-on] DynamoDB TTL
Lecture 40[Hands-on] DynamoDB Backup and PITR
Lecture 41[Hands-on] DynamoDB Global Table
Lecture 42[Hands-on] DynamoDB Accelerator (DAX)
Section 8: Amazon ElastiCache
Lecture 43 Database Design
Lecture 44 Memcached
Lecture 45 Redis
Lecture 46 Cost Structure
Lecture 47 Management & Operation
Lecture 48 Monitoring & Troubleshooting
Lecture 49 Database Security
Lecture 50[Hands-on] ElastiCache Basic
Section 9: Amazon DocumentDB (MongoDB compatibility)
Lecture 51 Database Design - MongoDB
Lecture 52 Database Design - DocumentDB
Lecture 53 Management & Operation
Lecture 54 Monitoring & Troubleshooting
Lecture 55 Database Security
Lecture 56[Hands-on] DocumentDB Basic
Section 10: Amazon Neptune
Lecture 57 Database Design
Lecture 58 Management & Operation
Lecture 59 Monitoring & Troubleshooting
Lecture 60 Database Security
Lecture 61[Hands-on] Neptune - Create with CloudFormation
Section 11: Amazon Timestream
Lecture 62 Database Design
Lecture 63 Management & Operation
Lecture 64 Monitoring & Troubleshooting
Lecture 65 Database Security
Section 12: Amazon Keyspaces
Lecture 66 Database Design
Lecture 67 Database Design - Keyspaces
Lecture 68 Management & Operation
Lecture 69 Monitoring & Troubleshooting
Lecture 70 Database Security
Lecture 71[Hands-on] Keyspaces Basic
Section 13: Amazon QLDB
Lecture 72 Database Design
Lecture 73 Management & Operation
Lecture 74 Monitoring & Troubleshooting
Lecture 75 Database Security
Lecture 76[Hands-on] QLDB Creation and Verification
Section 14: Deployment & Migration
Lecture 77 Deployment
Lecture 78 Migration
Section 15: Management & Operation
Lecture 79 Amazon SQS
Lecture 80 AWS Lambda
Section 16: Monitoring & Troubleshooting
Lecture 81 Amazon CloudWatch
Lecture 82 AWS CloudTrail
Lecture 83 AWS Config
Section 17: Database Security
Lecture 84 AWS IAM
Lecture 85 AWS KMS
Lecture 86 AWS Secrets Manager
Lecture 87 Network Security
Section 18: 3.Practice Test
Lecture 88 Practice Test
Section 19: 4.Summary
Lecture 89 Bonus Track
Aspiring Data Engineers and Data Scientists who want to leverage AWS for data analytics tasks.
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