AWS

Cloud

Data

Introduction to AWS Databases

Explore AWS databases including RDS/Aurora, DynamoDB/DAX, ElastiCache/MemoryDB, Redshift, Neptune, TimeStream, and OpenSearch.

Sanjeev Thiyagarajan

Training Architect & Instructional Lead at KodeKloud

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Description

Welcome to Introduction to AWS Databases, a comprehensive course designed for anyone looking to understand and leverage the power of Amazon Web Services' diverse database solutions. In an era where data is at the core of every business decision, mastering AWS database technologies is essential for driving innovation and efficiency.

Course Highlights:

AWS RDS & Aurora: Begin with a solid foundation in AWS Relational Database Service (RDS) and delve into Aurora, AWS’s high-performance database solution, along with RDS Proxy for enhanced scalability.
DynamoDB & DAX: Explore DynamoDB, AWS's NoSQL database service, including its key features, pricing structure, and throughput capabilities. Enhance your understanding with DynamoDB Accelerator (DAX) to improve performance through in-memory caching.
Caching with ElastiCache & MemoryDB for Redis: Discover advanced caching solutions that optimize application performance using ElastiCache and MemoryDB for Redis.
Data Warehousing with Redshift: Learn about AWS Redshift, including its innovative serverless option, to efficiently manage and analyze large datasets in a data warehousing context.
Graph Databases with Neptune: Gain insights into Neptune, AWS's fully managed graph database, perfect for managing highly connected data.
Time Series Data with TimeStream: Understand the application of AWS TimeStream, a purpose-built time series database that excels in handling IoT and operational data.
Search & Analytics with OpenSearch: Conclude the course with an introduction to OpenSearch, an open-source suite for powerful search and analytics capabilities.

About the instructor

Sanjeev Thiyagarajan, a Training Architect and Instructional Lead at KodeKloud, is known for his expertise in networking, troubleshooting, and network administration.

Sanjeev worked at Cisco Systems, he excelled as a Customer Support Engineer, coordinating interdisciplinary teams for IWAN solutions and leading deployments of Multi-Fabric VXLAN/EVPN across Data Centers. His knowledge of core networking protocols and ability to troubleshoot complex network issues are well-regarded in the industry.

Sanjeev also spent a significant tenure as a Proof Of Concept/Pre-Sales Engineer at Arista Networks where he specialized in designing scalable multi/hybrid cloud proof of concepts.

His certifications, including PCA: Prometheus Certified Associate, complement his hands-on experience in various platforms like Cisco IOS, NxOS, IOS-XR, and Arista EOS.

Sanjeev's popularity stems from his ability to translate complex technical concepts into accessible learning materials, making him a respected figure in the technical training community. His work at KodeKloud continues to impact professionals seeking to enhance their skills in the rapidly evolving tech landscape.

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Course Content

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Introduction

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Lesson Content

Module Content

Course Introduction 02:14

Join Our Community

AWS Databases - Part 1

Topics

Lesson Content

Module Content

AWS RDS Overview 08:47

AWS RDS Demo 08:15

RDS - Lab

Aurora 05:33

Aurora Demo 07:21

RDS Proxy 02:26

DynamoDB Overview 11:28

DynamoDB Basics Demo 12:34

DynamoDB Pricing & Throughput 06:23

DynamoDB Pricing & Throughput Demo 03:26

DynamoDB - Lab

DynamoDB Dax 01:53

DynamoDB Dax Demo 05:03

Elasticache Overview 03:44

MemoryDB for Redis 07:04

AWS Databases - Part 2

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Lesson Content

Module Content

Redshift - Main 08:18

Redshift - Serverless 04:33

DocumentDB 08:25

Keyspaces 06:52

Neptune 04:36

TimeStream 04:37

OpenSearch 06:02

Demo: OpenSearch 13:58

Migrations & Security

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Lesson Content

Module Content

Database Migration Service 08:40

Turning up Security on Database Services

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Who are KodeKloud courses for?

KodeKloud courses are designed for learners at different skill levels, from beginners to experienced IT professionals looking to develop or strengthen their technical skills.

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Yes. Many KodeKloud courses include hands-on labs and practical exercises that let you apply what you learn in real-world environments.

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