An IBM edX course introducing the data-engineering ecosystem and lifecycle — data repositories, integration platforms, pipelines and BI tools, and the flow from architecting platforms to gathering, cleaning and querying data. Accessible and no-code, a good orientation before deciding whether to pursue hands-on data engineering.
Good for: A no-code orientation to what data engineering involves.
Less suitable if: You want hands-on pipeline building or already know the field.
Skills you'll gain
Data engineeringData pipelinesData repositoriesETL conceptsBI toolsData lifecycle
Is this course right for you?
A good fit if you…
You want to understand data engineering
You prefer a gentle orientation
You are deciding whether to go deeper
Consider something else if you…
You want hands-on pipeline building
You already work in the field
You want to write code
Requirements: None.
Realistic time: A few weeks part-time.
About this course
This course introduces the data engineering ecosystem (data repositories, integration platforms, pipelines, BI/reporting tools) and lifecycle (architecting platforms, designing data stores, gathering/wrangling/cleaning/querying/analyzing data). Hands-on labs guide you through provisioning a data store on IBM Cloud and performing basic operations.
What you'll learn
Explain what data engineering is and the responsibilities of a data engineer
List the tasks performed in a typical data engineering lifecycle
Identify the layers of data platform architecture and their key tasks
Describe learning paths toward a data engineering career
Explain big data concepts and list common big data processing tools
This course includes
38h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
You can audit the course free on edX. A verified certificate is a paid option, with financial assistance available.
Comparison · LBS
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EDedX
IBM: Data Engineering Basics for Everyone
Price
Free
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