Elastic Databases and Data Processing with AWS [Video]

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Elastic Databases and Data Processing with AWS [Video]

James Cross

1 customer reviews
Drastically reducing the time it takes to setup, and also minimize the errors or challenges faced by administrators in real life!

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Video Details

ISBN 139781788471046
Course Length3 hours and 3 minutes

Video Description

This course will show you how to expand your database and data processing capabilities by leveraging some of the fully managed data processing technologies available through AWS. Filled with practical, real-life examples, this course will cover scalable, next-generation NoSQL database technologies such as DynamoDB, which will help you build fault-tolerant applications and understand the benefits from fully managed SQL services such as RDS, Redshift, and Athena. By the end of the course, viewers will be able to build a fully managed Elastic Database that can be managed with a single click. This will also help you drastically reduce the time it takes to set it up, and also minimize the errors or challenges faced by administrators in real life.

Style and Approach

This tutorial is a comprehensive yet easy-to-follow guide packed full of examples, designed to introduce viewers to database and data processing capabilities with fully managed data processing technologies through AWS

Table of Contents

NoSQL in the Cloud with DynamoDB
The Course Overview
Database Essentials and Introduction to DynamoDB
Creating a DynamoDB Table and Associated Indexes
Scanning Versus Querying
Provisioning Throughput
Web Identity Authentication and DynamoDB
NodeJS DynamoDB Example
Fully Managed SQL Databases
Database Essentials and RDS
Creating an RDS Instance and Connecting to It
RDS Subnet Groups
Multi-AZ, Backups, and Read Replicas for RDS
Amazon Aurora
Scalable Data Warehousing with Redshift
Redshift and How It Differs from a Database
Launching a Redshift Cluster and Connecting to It
Loading Data into Redshift from RDS via S3
Next Generation Severless Data Processing
Amazon Athena and Redshift Spectrum
Creating Schemas in Athena
Processing Data Directly on S3 Using Athena
Joining Data in S3 with Data in Redshift with Redshift Spectrum

What You Will Learn

  • NoSQL in the cloud with DynamoDB
  • Fully managed SQL Databases
  • Scalable data warehousing with Redshift
  • Next-generation serverless data processing

Authors

Table of Contents

NoSQL in the Cloud with DynamoDB
The Course Overview
Database Essentials and Introduction to DynamoDB
Creating a DynamoDB Table and Associated Indexes
Scanning Versus Querying
Provisioning Throughput
Web Identity Authentication and DynamoDB
NodeJS DynamoDB Example
Fully Managed SQL Databases
Database Essentials and RDS
Creating an RDS Instance and Connecting to It
RDS Subnet Groups
Multi-AZ, Backups, and Read Replicas for RDS
Amazon Aurora
Scalable Data Warehousing with Redshift
Redshift and How It Differs from a Database
Launching a Redshift Cluster and Connecting to It
Loading Data into Redshift from RDS via S3
Next Generation Severless Data Processing
Amazon Athena and Redshift Spectrum
Creating Schemas in Athena
Processing Data Directly on S3 Using Athena
Joining Data in S3 with Data in Redshift with Redshift Spectrum

Video Details

ISBN 139781788471046
Course Length3 hours and 3 minutes
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