Ementorhub

What you'll learn

Job-ready data warehousing skills in just 6 weeks, supported by practical experience and an IBM credential.

Design and populate a data warehouse, and model and query data using CUBE, ROLLUP, and materialized views.

Identify popular data analytics and business intelligence tools and vendors and create data visualizations using IBM Cognos Analytics.

How to design and load data into a data warehouse, write aggregation queries, create materialized query tables, and create an analytics dashboard.

Skills you'll gain

Data Lakes

Data Mart

Snowflake Schema

Data Cleansing

Extract, Transform, Load

Database Systems

Data Modeling

PostgreSQL

Database Design

Star Schema

Data Quality

Data Validation

Data Warehousing

IBM DB2

SQL

Data Architecture

Query Languages

Data Integration

There are 3 modules in this course

A data warehouse centralizes and organizes data from disparate sources into a single repository, making it easier for data professionals to access, clean, and analyze integrated data efficiently. This course teaches you how to design, deploy, load, manage, and query data warehouses, data marts, and data lakes. You’ll dive into designing, modeling, and implementing data warehouses, and explore data warehousing architectures like star and snowflake schemas. You’ll master techniques for populating data warehouses through ETL and ELT processes, and hone your skills in verifying and querying data, and utilizing concepts like cubes, rollups, and materialized views/tables. Additionally, you’ll gain valuable practical experience working on hands-on labs, where you’ll apply your knowledge to real data warehousing tasks. You’ll work with repositories like PostgreSQL and IBM Db2, and complete a project that you can refer to in interviews.

Designing, Modeling, and Implementing Data Warehouses

Final Assignment and Final Quiz