Ementorhub

What you'll learn

Create efficient data warehouses and tables using Google BigQuery's UI and SQL

Build dynamic ETL pipelines with Python, incorporating partitioning and clustering strategies.

Perform advanced queries, including aggregate and window functions, for insightful data analysis.

Skills you'll gain

Data Warehousing

Data Infrastructure

Extract, Transform, Load

SQL

Data Transformation

Data Architecture

Google Cloud Platform

Data Management

Data Governance

Data Security

Business Intelligence

Database Management

Pandas (Python Package)

There is 1 module in this course

This course is designed for data analysts, data engineers, business intelligence professionals, and anyone interested in mastering the art of building efficient data warehouses and performing advanced data queries using Google BigQuery. Learners should have a basic understanding of SQL and familiarity with data concepts. This course aims to give learners a comprehensive understanding of Google BigQuery, empowering them to create efficient data warehouses, perform queries, and make informed data-driven decisions. Whether you're a data professional or an aspiring analyst, this course will equip you with the tools and knowledge to unlock the full potential of BigQuery for improved business performance.