Babelfish For Aws Aurora Postgresql - Hands On Learning

Posted By: ELK1nG

Babelfish For Aws Aurora Postgresql - Hands On Learning
Published 10/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 837.80 MB | Duration: 2h 7m

With comprehensive material on each topic and demos / labs for each section

What you'll learn

Students will learn about Babelfish - a new database offering in AWS.

Steps to migrate Microsoft SQL Server database to Babelfish for AWS Aurora PostgreSQL

Data migration in AWS Aurora PostgreSQL

Monitoring and working with Babelfish cluster

Requirements

Basic knowledge of databases in general.

Basics of AWS and familiarity of relational databases in AWS.

Description

In this course, we will learn about Babelfish for AWS Aurora PostgreSQL. Babelfish is a migration accelerator, it helps to migrate commercial SQL Server database to Open source AWS Aurora PostgreSQL. It supports T-SQL on PostgreSQL database using an extension.  This course will provide all the steps to migrate SQL Server to AWS Aurora PostgreSQL and also list various options to load data into Babelfish including SSIS, Bulk copy, native SQL scripts and AWS Database Migration Service (DMS).  AWS DMS is the reccommended option to migrate data from Microsoft SQL Server to Babelfish for AWS Aurora PostgreSQL.  Below are some of the key topics covered in this course: 1. Understand what is Babelfish, architecture, implementation, tools 2. How to manage / monitor Babelfish cluster. 3. We will focus on analysis of Babelfish using Compass tool including how to download, configure and generate report.4.  A separate lecture on how to analyze compass report and generate workarounds.5. Data migration into Babelfish cluster using AWS DMS Service. 6. Monitoring AWS Aurora Babelfish cluster.7. Backup and recovery optionsOverall goal of this course is to provide you with good idea and get started with Babelfish and how to migrate commercial database to open source.  With this learning, you will be able to migrate to Babelfish easily, play around and learn more !!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Instructor-Introduction

Section 2: Babelfish Overview

Lecture 3 Section-Introduction

Lecture 4 Babelfish Introduction

Lecture 5 Babelfish Implementation

Lecture 6 Babelfish Features

Lecture 7 Singledb vs Multidb Option

Lecture 8 Hands on: Create Babelfish Cluster

Lecture 9 Connection to Babelfish Cluster

Lecture 10 Hands-on: Connect to Aurora Babelfish Cluster using SSMS

Lecture 11 Recap..

Section 3: SQL Server to Babelfish Migration

Lecture 12 Section Introduction

Lecture 13 Migration Architecture

Lecture 14 SQL Server on EC2

Lecture 15 Migration Steps

Lecture 16 Compass Tool

Lecture 17 Hands-on: Downloading and Configuring Compass Tool

Lecture 18 Generate Compass Report -1

Lecture 19 Generate Compass Report -2

Lecture 20 Hands-on: Generate Compass Report

Lecture 21 Analyze Compass Report

Lecture 22 Hands-on: Analyze Compass Report

Lecture 23 Babelfish Database pre-migration steps

Lecture 24 Create tables in Babelfish

Lecture 25 Data Migration Options

Lecture 26 Data Migration using DMS

Lecture 27 Hands-on: AWS DMS - Create Replication Instance

Lecture 28 Hands-on: AWS DMS - Endpoints

Lecture 29 Hands-on: AWS DMS - Task and Migration

Lecture 30 Migration Next steps

Lecture 31 Recap..

Section 4: Monitoring AWS Aurora PostgreSQL Babelfish Cluster

Lecture 32 Section-Introduction

Lecture 33 CloudWatch Monitoring

Lecture 34 Enhanced Monitoring

Lecture 35 Performance Insights

Lecture 36 Performance Insights - Database Load

Lecture 37 Hands-on: Babelfish Monitoring

Lecture 38 Recap

Lecture 39 Explain Plan in Babelfish

Section 5: Babelfish : Backup and Restore

Lecture 40 Section-Introduction

Lecture 41 Automatic Backup

Lecture 42 Manual Snapshot

Lecture 43 AWS Backup Service

Lecture 44 Hands-on: Backup and restore

Lecture 45 Recap..

Section 6: Next Steps

Lecture 46 Course Next Steps..

Lecture 47 Thank You

This course is intended for all levels of IT professionals looking an option to migrate commercial database (SQL Server) to Open Source database engine.