Build a Data Warehouse Using BigQuery
- Offered byCoursera
Build a Data Warehouse Using BigQuery at Coursera Overview
Duration | 8 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Build a Data Warehouse Using BigQuery at Coursera Highlights
- Earn a certificate from Starweaver
- Add to your LinkedIn profile
- September 2023
- 5 quizzes, 1 assignment
Build a Data Warehouse Using BigQuery at Coursera Course details
- 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.
- Unlock the power of Google BigQuery as you embark on a journey to become proficient in data warehouse building and advanced querying. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both the user interface and Python. Through hands-on lessons and practical applications, you'll develop the fundamental skills needed to manage, query, and optimize your data in this powerful cloud-based platform.
- 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.
Build a Data Warehouse Using BigQuery at Coursera Curriculum
Build a Data Warehouse Using BigQuery
Introduction to the Instructor
Introduction to BigQuery
Setting up and accessing bigQuery
Navigating the BigQuery UI
Exploring "bigquery-public-data" datasets
Introduction to Data Warehousing and BigQuery
Creating Datasets for Data Organization
Defining Tables with Schema and Settings
Partitioning and Clustering Strategies
Creating Tables using SQL
Creating Partitioned Tables using SQL
Installing Anaconda Package and Configuring Credentials
Introduction to Jupyter Notebook UI
Manipulating Data with Pandas: Replacing and Appending Tables
Adding Schema Information Dynamically
Incorporating Partitioning and Clustering Configurations
Understanding ETL (Extract, Transform, Load)
Performing ETL with CSV, Excel, and JSON files
Introduction to Data Query Language
Exploring SQL Examples for Data Retrieval
Leveraging Aggregate and Window Functions for Advanced Queries
User-Defined Functions (UDFs) for Custom Transformations
Data Security and Governance Best Practice
Conclusion
Welcome to the Course
Additional resources
Additional resources
Additional resources
Additional resources
Additional resources
Understanding BigQuery platform
Data Warehouse Using UI Interface And SQL
Creating A Data Warehouse Using Python
ETL With Python From External Sources
Querying And Governance
Final assessment
Build a Data Warehouse Using BigQuery at Coursera Admission Process
Important Dates
Other courses offered by Coursera
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