Build Data Warehouse Using BigQuery
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 UI and Python.
Overview
Unlock the power of Google BigQuery as you embark on a journey to understand the basic data warehouse builder and query expert. 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 UI and Python. Through hands-on lessons and practical applications, you'll develop the basic skills needed to manage, query, and optimize your data in this powerful cloud-based platform.
Skills you'll gain
What you'll learn
- Understand and Navigate BigQuery: Learn the ins and outs of BigQuery’s interface, set up your environment, and access datasets with ease.
- Learn the Principles of Creating Data Warehouses: Create and organize datasets, define tables, and utilize partitioning and clustering for efficient data storage.
- Perform ETL with Python: Build dynamic ETL pipelines using Python, replace and append tables, and configure schema, partitioning, and clustering.
- Comprehend Essential Query Techniques: Understand querying with SQL, exploring aggregate and window functions, and understanding data security and governance.
Who Should Attend
Prerequisites
The target audience for a course on building a data warehouse using BigQuery would typically include individuals with varying levels of experience and expertise in data management, analytics, and cloud computing.
- Data Analysts
- Data Engineers
- Business Intelligence (BI) Professionals
- Data Scientists
- Database Administrators
- IT Professionals
- Cloud Architects
- Business Managers and Decision-Makers
- Students and Aspiring Data Professionals
- Data Enthusiasts
To build a data warehouse with BigQuery, you’ll need to have a strong understanding of data warehousing concepts and some specific prerequisites.
- Basic SQL Knowledge
- Data Sources
- Schema Design
- Performance Optimization
- Security and Permissions
Chapters
Explore a structured set of chapters designed to build your skills step by step, with practical examples and hands-on applications.
Segment 1 - Introduction to the Instructor
Segment 2 - Introduction to BigQuery
Segment 3 - Setting Up and Accessing BigQuery
Segment 4 - Navigating the BigQuery UI
Segment 5 - Exploring "bigquery-public-data" datasets
Meet your instructors
Caio Avelino
View my channelFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.
Are Starweaver's courses designed for beginners or advanced students?
Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.
What payment options are available for Starweaver courses?
We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.
Do you offer refunds?
Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.
