Demonstrate proficiency in skills required for an entry-level data engineering role.
Design and implement various concepts and components in the data engineering lifecycle such as data repositories.
Showcase working knowledge with relational databases, NoSQL data stores, big data engines, data warehouses, and data pipelines.
Apply skills in Linux shell scripting, SQL, and Python programming languages to Data Engineering problems.
Course Content
Module 1: Data Platform Architecture and OLTP Database
Introduction to Capstone Project
00:00
Assignment Overview
00:00
2 quizzes
Checklist: OLTP Database
00:00
Graded Quiz: OLTP Database
00:00
1 app item
Hands-on Lab: OLTP Database
00:00
2 plugins
Data Platform Architecture
00:00
OLTP Database Requirements and Design
00:00
Module 2: Querying Data in NoSQL Databases
Assignment Overview: Querying Data in NoSQL Databases
00:00
2 quizzes
Checklist: Querying Data in NoSQL Databases
00:00
Graded Quiz: Querying Data in NoSQL Databases
00:00
1 app item
Hands-on Lab: Querying Data in NoSQL Databases
00:00
Module 3: Build a Data Warehouse
Assignment Overview: Data Warehouse Design & Setup
00:00
Assignment Overview: Data Warehouse Reporting
00:00
1 reading
Optional Lab Information
00:00
3 quizzes
Checklist: Data Warehousing
00:00
Checklist: Data Warehouse Reporting
00:00
Graded Quiz: Data Warehouse & Reporting
00:00
3 app items
Hands-on Lab: Data Warehousing
00:00
Hands-on Lab: Data Warehouse Reporting using PostgreSQL
00:00
(Optional) Obtain IBM Cloud Feature Code and Activate Trial Account
00:00
1 plugin
(Optional) Hands-on Lab: Data Warehouse Reporting using DB2
00:00
Module 4: Data Analytics
Assignment Overview
00:00
2 quizzes
Checklist: Dashboard Creation
00:00
Graded Quiz: Dashboard Creation
00:00
2 plugins
Hands-on Lab: Getting Started with Cognos Dashboard Emb
00:00
Hands-On Lab: Dashboard Creation
00:00
Module 5: ETL & Data Pipelines
Assignment Overview: ETL
00:00
Assignment Overview: Data Pipelines using Apache Airflow
00:00
3 quizzes
Checklist: ETL
00:00
Checklist: Data Pipelines using Apache Airflow
00:00
Graded Quiz: ETL & Data Pipelines using Apache Airflow
00:00
2 app items
Hands-on Lab: ETL
00:00
Hands-on Lab: Data Pipelines using Apache Airflow
00:00
Module 6: Big Data Analytics with Spark
Assignment Overview: Big Data Analytics with Spark
00:00
2 quizzes
Checklist: Big Data Analytics with Spark
00:00
Graded Quiz: Big Data Analytics with Spark
00:00
2 app items
Practice Hands On Lab: Saving and loading a SparkML model
00:00
Hands-on Lab: SparkML Ops
00:00
Module 7: Final Submission and Peer Review
In this final module you will complete your submission of screenshots from the hands-on labs for your peers to review. Once you have completed your submission you will then review the submission of one of your peers and grade their submission.
00:00
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