Data Migration Engineer: MSSQL | Oracle | MySQL | MS Access
Data Migration Engineer: MSSQL | Oracle | MySQL | MS Access, available at $39.99, has an average rating of 4.75, with 51 lectures, based on 2 reviews, and has 23 subscribers.
You will learn about Migrate data from SQL Server to Oracle Migrate data from MS Access to SQL Server Migrate data from MySQL to SQL Server Create migration repository Create migration user Backup database before migration Perform pre-migration assessment Perform post-migration checks Validate data mappings Migrate schema and data This course is ideal for individuals who are Beginners to data migration It is particularly useful for Beginners to data migration.
Enroll now: Data Migration Engineer: MSSQL | Oracle | MySQL | MS Access
Summary
Title: Data Migration Engineer: MSSQL | Oracle | MySQL | MS Access
Price: $39.99
Average Rating: 4.75
Number of Lectures: 51
Number of Published Lectures: 51
Number of Curriculum Items: 51
Number of Published Curriculum Objects: 51
Original Price: $49.99
Quality Status: approved
Status: Live
What You Will Learn
- Migrate data from SQL Server to Oracle
- Migrate data from MS Access to SQL Server
- Migrate data from MySQL to SQL Server
- Create migration repository
- Create migration user
- Backup database before migration
- Perform pre-migration assessment
- Perform post-migration checks
- Validate data mappings
- Migrate schema and data
Who Should Attend
- Beginners to data migration
Target Audiences
- Beginners to data migration
Database migration is the process of migrating data from one or more source databases to one or more target databases by using a database migration service. When a migration is finished, the datasets in the source databases resides fully, though possibly restructured, in the target databases.
Data Migration is an important function anyone working with a database should be able to carry out. There are several tools available to perform database and data migration.
A database is a structured collection of data. It may be anything from a simple shopping list to a picture gallery or the vast amounts of information in a corporate network. To add, access, and process data stored in a computer database, you need a database management system such as MySQL Server. Since computers are very good at handling large amounts of data, database management systems play a central role in computing, as standalone utilities, or as parts of other applications.
MySQL is Open source which means that it is possible for anyone to use and modify the software. Anybody can download the MySQL software from the Internet and use it without paying anything. If you wish, you may study the source code and change it to suit your needs.
Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet). Microsoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users.
Oracle Database is a multi-model database management system produced and marketed by Oracle Corporation. It is a database commonly used for running online transaction processing, data warehousing and mixed database workloads.
Microsoft Access is a database management system from Microsoft that combines the relational Access Database Engine with a graphical user interface and software-development tools. It is a member of the Microsoft 365 suite of applications, included in the Professional and higher editions or sold separately
Course Curriculum
Chapter 1: Introduction to Data Migration Engineering
Lecture 1: Overview of Data Migration Engineering
Lecture 2: Role and Responsibilities of a Data Migration Engineer
Lecture 3: Understanding the Importance of Data Migration in Software Projects
Chapter 2: Overview of Relational Databases
Lecture 1: Introduction to Relational Databases
Lecture 2: Key Concepts of Relational Databases
Lecture 3: Comparison of MSSQL, Oracle, MySQL, and MS Access Databases
Chapter 3: Microsoft SQL Server Setup
Lecture 1: Introduction
Lecture 2: What is SQL Server
Lecture 3: SQL Server Editions
Lecture 4: Installation Requirements
Lecture 5: Download SQL Server
Lecture 6: Install SQL Server
Lecture 7: SQL Server Configuration Manager
Lecture 8: Install SQL Server Management Studio -SSMS
Lecture 9: Connect SSMS to SQL Server
Lecture 10: Install Sample Database
Chapter 4: Access Database Setup
Lecture 1: What is Microsoft Access
Lecture 2: Installing Northwind Database
Chapter 5: Database Migration: MS Access To MSSQL Server
Lecture 1: Backup Access Database
Lecture 2: Install SQL Server Migration Assistance for Access
Lecture 3: Create a new SSMA Project
Lecture 4: Create a pre-migration assessment report
Lecture 5: Create a new database
Lecture 6: Convert access schema
Lecture 7: Migrate Access Database To SQL Server
Lecture 8: Post Migration Checks
Chapter 6: MySQL Database Server Setup
Lecture 1: MySQL Download Link
Lecture 2: Install MySQL on Windows
Lecture 3: Install MySQL on Macs
Lecture 4: MySQL Workbench
Chapter 7: Data Migration: MySQL To SQL Server
Lecture 1: Install SSMA
Lecture 2: Prerequistes
Lecture 3: SQL Server Agent
Lecture 4: Pre-migration assessment
Lecture 5: Validating type mappings
Lecture 6: Converting schema
Lecture 7: Migrating data
Lecture 8: Post Migration data validation
Chapter 8: Oracle Database Setup
Lecture 1: Install Oracle Database Server
Lecture 2: Unlock sample schema
Lecture 3: Install Oracle developer
Lecture 4: Connecting to Oracle database
Chapter 9: Data Migration: SQL Server To Oracle
Lecture 1: Create a database migration user
Lecture 2: Create a migration repository
Lecture 3: Configure 3rd party connection: part 1
Lecture 4: Configure 3rd party connection: part 2
Lecture 5: Capturing data source
Lecture 6: Convert captured models to Oracle
Lecture 7: Translate 3rd party T-SQL Objects to Oracle
Lecture 8: Generate scripts to create database
Lecture 9: Migrate data from SQL Server into Oracle
Instructors
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