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
This course includes:
- 1.5 hours of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
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 Will Gain
Learning Outcomes (At the end of this program you will be able to)
- 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.
Prerequisites
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
Who Should Attend
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
Curriculum
1Module 0 - Understanding BigQuery Platform
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
2Module 1 - Creating A Data Warehouse Using UI Interface And SQL
Segment 6 - Introduction to Data Warehousing and BigQuery
Segment 7 - Creating Datasets for Data Organization
Segment 8 - Defining Tables with Schema and Settings
Segment 9 - Partitioning and Clustering Strategies
Segment 10 - Creating Tables using SQL
Segment 11 - Creating Partitioned Tables using SQL
3Module 2 - Creating A Data Warehouse Using Python
Segment 12 - Installing Anaconda Package and Configuring Credentials
Segment 13 - Introduction to Jupyter Notebook UI
Segment 14 - Manipulating Data with Pandas: Replacing and Appending Tables
Segment 15 - Adding Schema Information Dynamically
Segment 16 - Incorporating Partitioning and Clustering Configurations
4Module 3 - ETL With Python From External Sources
Segment 17 - Understanding ETL (Extract, Transform, Load)
Segment 18 - Performing ETL with CSV, Excel, and JSON files
5Module 4 - Querying And Governance
Segment 19 - Introduction to Data Query Language
Segment 20 - Exploring SQL Examples for Data Retrieval
Segment 21 - Leveraging Aggregate and Window Functions for Advanced Queries
Segment 22 - User-Defined Functions (UDFs) for Custom Transformations
Segment 23 - Data Security and Governance Best Practice
Segment 24 - Conclusion
Instructors
Caio Avelino
Caio is an experienced instructor on our platform, bringing a wealth of expertise in data science, machine learning, and related fields. With a background in electrical engineering and extensive hands-on experience in data analysis, he has developed a deep understanding of business intelligence, data science, and artificial intelligence. His passion for continuous learning and problem-solving is evident in his active involvement in courses and projects that expand his knowledge and skill set.
Caio has a proven track record of success in dynamic environments, ranging from startups to established companies, where he has sharpened his skills in project management, data analysis, and team leadership. As the Head of Data at a leading e-commerce company, he leads data science initiatives, develops algorithms, and utilizes tools like Databricks for machine learning applications.
In addition to his industry experience, Caio has served as an instructor on platforms such as Coursera and Udemy, showcasing his commitment to education and knowledge sharing. He holds certifications in data engineering and real-time analytics and is proficient in key programming languages like SQL and Python. Through his comprehensive training programs, Caio equips aspiring data professionals with the tools and insights they need to succeed. His dedication to mentorship and empowering others aligns seamlessly with our platform’s mission to deliver high-quality education in data science and related disciplines.
Frequently 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.
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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.
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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.