Descriptions
Analytics Engineering for Data Professionals, Analytics Engineering is a dynamic blend of Data Engineering and Data Analytics, serving as the bridge between these two domains. Analytics Engineers develop and maintain a good portion of the data lifecycle, from the ingestion of Data Sources, to the development of Data Warehouses and the corresponding data pipelines, to Business Intelligence tools. Whether you are a Data Analyst/Scientist that would like to practice on modern Data Engineering tools, or an aspiring Analytics Engineer, this workshop is for you.
What you’ll learn
- Start and develop a modern Data Warehouse, using Snowflake.
- Ingest data, on a schedule, from multiple sources, using connectors in Fivetran.
- Clean and transform data, and the basics of ELT (Extract, Load, Transform), using DBT and SQL.
- Spin up and connect a Business Intelligence tool (Preset) to a Data Warehouse.
Who this course is for
- A Data Analyst or Data Scientist looking to sharpen their Data Engineering skills using modern data tools.
- A recent graduate looking to land their first Analytics Engineering role with practical skills that are highly marketable.
- A professional trying to pivot into a Data role and curious about what Analytics Engineering is about.
Specificatoin of Analytics Engineering for Data Professionals
- Publisher : Maven
- Teacher : Fabrizio and Mattia
- Language : English
- Level : All Levels
- Number of Course : 9
- Duration : 12 hours and 46 minutes
Content of Analytics Engineering for Data Professionals
Requirements
Pictures
Sample Clip
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Installation Guide
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Quality: 1108p
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
2.32 GB
