Corporate Data Warehousing with BigQuery Training Course

Name: Data Warehousing with BigQuery Training
Availability: InStock

Edstellar's Data Warehousing with BigQuery instructor-led training course equips teams with skills to leverage Google BigQuery effectively to execute analytical queries, perform analysis, and build charts. Enhance your professionals' expertise in handling extensive datasets without the need for managing cluster and node provisioning tasks.

Duration

24 - 32 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Data Warehousing with BigQuery Corporate Training

A data warehouse is a system used for the analysis and reporting of structured and semi-structured data from multiple sources. Organizations use data warehouses to consolidate, govern, and manage large amounts of business data for analysis. Google BigQuery is a fully managed data warehouse solution that offers an unprecedented combination of scalability, and speed. The Data Warehousing with BigQuery training enables teams to leverage powerful data warehousing capabilities.

The trainers, who deliver Data Warehousing with BigQuery instructor-led training course, bring a wealth of practical knowledge to the table, ensuring that professionals gain theoretical concepts and insights into real-world applications. We ensure that every aspect of the virtual/onsite Data Warehousing with BigQuery training course's journey is tailored to maximize learning outcomes.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Query Optimization
Query Optimization is the process of improving database query performance by refining SQL statements. This skill is important for database administrators and data analysts to ensure efficient data retrieval, reduce load times, and enhance overall system performance.
Data Modeling
Data Modeling is the process of creating visual representations of data structures and relationships. This skill is important for data analysts and database developers to ensure accurate data management and analysis.
ETL Processes
EtL Processes involve data extraction, transformation for analysis, and loading into databases. This skill is important for data analysts and engineers to ensure accurate data integration and reporting.
Schema Design
Schema Design is the process of defining the structure, relationships, and constraints of data in a database. This skill is important for database administrators and developers to ensure efficient data storage, retrieval, and integrity.
BigQuery SQL
BigQuery SQL is a powerful tool for querying large datasets in Google Cloud. This skill is important for data analysts and engineers to efficiently analyze and derive insights from big data.
Data Transformation
Data Transformation is the process of converting data from one format or structure to another. This skill is important for data analysts and engineers to ensure accurate analysis and integration.

What Your Team Will Achieve After This Training

Execute complex SQL queries on petabyte-scale datasets in BigQuery
Architect and deploy data warehouse architectures within BigQuery that are both scalable and cost-efficient
Implement strategies for data lifecycle management and smart partitioning in BigQuery
Apply comprehensive security models in BigQuery, including fine-grained access controls and encryption
Craft and execute integration pipelines between BigQuery and external data sources, including cloud-based storage and streaming data services
Adhere to industry-recognized data warehousing principles in BigQuery environments
Design and implement bespoke data processing and analytics solutions on BigQuery, tailored to the specific needs and challenges of the business

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Introduction to Building Data Warehousing with BigQuery

Overview of data warehousing concepts
- Definition and importance of data warehousing
- Evolution of data warehouses in the big data era
- Differences between data warehouses and databases
Benefits of using BigQuery as a data warehouse
- Scalability and performance of BigQuery
- Cost-effectiveness of BigQuery's pay-as-you-go model
- Security features in BigQuery
- BigQuery's serverless architecture and its advantages
- Integration capabilities with other analytics and ML tools
Key features and capabilities of BigQuery
- BigQuery's storage and query processing architecture
- Real-time analytics with BigQuery

Understanding BigQuery in the GCP Service Taxonomy

Positioning BigQuery within Google Cloud Platform
- Overview of Google Cloud Platform services
- How BigQuery fits into the GCP ecosystem
- Synergies between BigQuery and other GCP services
- Case studies of BigQuery deployments in GCP
- Future developments of BigQuery in GCP
Comparison with other data warehouse technologies
- BigQuery vs. traditional on-premises data warehouses
- BigQuery vs. other cloud-based data warehouse solutions
Integration with other GCP services
- Connecting BigQuery with Google Data Studio for visualization
- Data pipelines with BigQuery and Cloud Dataflow

Using Datasets, Tables, and Views in BigQuery

Creating and managing datasets
- Steps to create a dataset in BigQuery
- Best practices for dataset organization
- Managing dataset permissions and access
Schema design for tables
- Principles of schema design in BigQuery
- Columnar storage and its benefits for query speed
Utilizing views for data abstraction and security
- Creating and managing views in BigQuery
- Security benefits of using views
- Materialized views and their performance impact
- Best practices for view maintenance
- Use cases for views in data analysis

Getting Data in and out of BigQuery

Data ingestion methods
- Batch loading data into BigQuery
- Streaming data into BigQuery in real-time
- Data transfer services for automated data ingestion
- Using Cloud Dataflow for data transformation and ingestion
- Best practices for efficient data ingestion
Exporting data from BigQuery
- Methods for exporting data from BigQuery
- Exporting data to different formats and destinations
- Considerations for exporting large datasets
Integrating with external data sources
- Connecting BigQuery with external databases
- Using federated queries for real-time data access
- Data integration tools compatible with BigQuery
- Challenges and solutions in data integration

Performing Advanced Analytical Queries in BigQuery

Advanced SQL queries in BigQuery
- Complex JOIN operations and their optimizations
- Window functions for advanced analytics
Window functions and aggregate functions
- Understanding window functions and their uses
- Ranking and partitioning data with window functions
- Aggregate functions for statistical analysis
- Performance considerations for window and aggregate functions
- Use cases for window vs. aggregate functions
Performance optimization techniques
- Query optimization strategies in BigQuery
- Managing and optimizing data storage
- Techniques for reducing data scanned in queries

Programmatically Accessing BigQuery from Client Programs

Using BigQuery APIs for data manipulation
- Overview of BigQuery APIs
- Authenticating and authorizing API requests
- Managing datasets and tables with the API
- Executing queries programmatically
- Error handling and optimization in API usage
Automating workflows with client libraries
- Setting up client libraries in various programming languages
- Automating data ingestion and analysis workflows
- Best practices for using client libraries with BigQuery
Example use cases and best practices
- Real-world applications of BigQuery APIs
- Automating reporting and analytics workflows
- Integrating BigQuery with third-party applications

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Engineers
Database Administrators
Infrastructure Engineers
Big Data Engineers
Cloud Engineers
System Administrators
Data Scientists
Data Architects
IT Specialists
Analytics Engineers
System Engineers
Managers

What are the Prerequisites?

Professionals with a basic understanding of SQL and data analysis, and familiarity with cloud computing concepts can take up the Data Warehousing with BigQuery training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Data Warehousing with BigQuery Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site Data Warehousing with BigQuery Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site Data Warehousing with BigQuery Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Data Warehousing with BigQuery training exceeded my expectations in every way. As a Principal Big Data Engineer, I gained comprehensive knowledge of advanced methodologies that transformed my approach to incredibly practical and immediately applicable. My ability to architect solutions and solve complex problems has improved substantially. The instructor's expertise in expert-led workshops made complex concepts crystal clear and actionable.”

Ellis Marshall

Principal Big Data Engineer,

Enterprise Software Development Firm

"This Data Warehousing with BigQuery course was precisely what I needed to design robust strategic implementation architectures. The hands-on approach to real-world case studies and seamless integration with practical advanced techniques from this training. This expertise enabled us to secure a transformative contract with a Fortune 100 organization. The comprehensive curriculum has elevated my solution delivery capabilities significantly.”

Cao Lan

Lead MLOps Engineer,

Digital Innovation Platform

"As a Senior Database Administrator leading professional expertise operations, the Data Warehousing with BigQuery training provided our team with essential industry best practices expertise at scale. The comprehensive our complete operational footprint. We've successfully deployed these methodologies across all regional operations centers. This course has proven invaluable for driving our organizational transformation and sustained excellence.”

Bilal Saad

Senior Database Administrator,

Technology Consulting Services Company

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

Corporate Data Warehousing with BigQuery Training Course

Drive Team Excellence with Data Warehousing with BigQuery Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Introduction to Building Data Warehousing with BigQuery

Understanding BigQuery in the GCP Service Taxonomy

Using Datasets, Tables, and Views in BigQuery

Getting Data in and out of BigQuery

Performing Advanced Analytical Queries in BigQuery

Programmatically Accessing BigQuery from Client Programs

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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