Relational Database Administration Capstone Project

This course is part of IBM Relational Database Administrator Professional Certificate

Instructors: Abhishek Gagneja +1 more

What you'll learn

  •   Gain real-world, hands-on experience in database administration that you can discuss in interviews and showcase in your portfolio.
  •   Design and implement OLTP and data warehouse schemas, manage data, and query data in MySQL and PostgreSQL 
  •   Perform ETL operations, extract data from RDBMS, NoSQL databases, and weblogs, and manage pipelines using Apache Airflow
  •   Apply backup, restore policies, automate the process, set up user access management policies, encrypt data, and optimize SQL queries
  • Skills you'll gain

  •   Data Pipelines
  •   Extract, Transform, Load
  •   Data Warehousing
  •   Operational Databases
  •   Data Architecture
  •   Disaster Recovery
  •   Database Design
  •   Database Architecture and Administration
  •   Apache Airflow
  •   PostgreSQL
  •   Performance Tuning
  •   Database Administration
  •   MySQL
  •   Database Management
  •   SQL
  •   Data Security
  • There are 6 modules in this course

    You’ll begin by setting up an Online Transaction Processing (OLTP) database, creating a data warehouse using PostgreSQL, and querying the databases using SQL. Next, you’ll build Extract, Transform, and Load (ETL) pipelines with Apache Airflow to automate data flow across systems. Plus, you’ll implement backup and restore processes, starting with manual setups and then progressing to automated solutions. To ensure database security, you’ll then configure user access and permissions in MySQL. You’ll optimize memory usage and improve query performance to enhance database efficiency. By the end of the course, you’ll have demonstrated and applied key aspects of database administration. An ideal addition to your portfolio! If you’re looking to get hands-on experience in database administration that you can talk about in interviews, enroll today!

    Build a Data Warehouse

    ETL and Data Pipelines

    Backup, Restore, and Automation

    Database Optimization, Security, and Access Management

    Final Submission

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