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Google BigQuery Training Overview
Google BigQuery Training Course Outline
Module 1: Interacting with BigQuery
- Introduction to BigQuery
- BigQuery Sandbox and Web UI
- Command-Line Tools
- BigQuery Classic Web UI
Module 2: Running and Managing Jobs
- Introduction
- Running Jobs Programmatically
- Managing Jobs
Module 3: Working with Datasets
- Define Datasets
- Dataset Locations
- Creating and Copying Datasets
- Controlling Access to Datasets
- Listing Datasets
- Updating Dataset Properties
- Managing Datasets
- Availability and Durability
Module 4: Working with Table Schemas
- Specifying a Schema
- Specifying Nested and Repeated Columns
- Modifying Table Schemas
- Manually Changing Table Schemas
Module 5: Working with Tables
- Managing Tables and Table Data
- Exporting Table Data
- Updating Table Data Using DML
Module 6: Working with Partitioned Tables
- What are Partitioned Tables?
- Creating Ingestion-Time Partitioned Tables
- Creating Date/Time Partitioned Tables
- Managing and Querying Partitioned Tables
- Using DML with Partitioned Tables
Module 7: Working with Clustered Tables
- Define Clustered Tables
- Creating and Using Clustered Tables
Module 8: Working with Views
- Introduction to Views
- Creating a View
- Controlling Access to Views
- Creating Authorised Views
- Listing Views
- Updating View Properties
- Managing Views
Module 9: Labelling BigQuery Resources
- Adding Labels
- Viewing Labels
- Updating Labels
- Filtering Using Labels
- Deleting Labels
Module 10: Loading Data into BigQuery
- Loading Data from Cloud Storage
- Loading Data from Local File
Module 11: Querying BigQuery Data
- Running Interactive and Batch Queries
- Writing Query Results
- Using Cached Results
- Querying Data Using a Wildcard Table
- Saving and Sharing Queries
- Scheduling Queries
- Using the Query Plan Explanation
Module 12: Querying External Data Sources
- Querying Cloud Bigtable
- Querying Google Cloud Drive Data
Module 13: Controlling BigQuery Costs
- Estimating Storage and Query Costs
- Custom Cost Controls
Module 14: Securing BigQuery Resources
- Encryption at Rest
- Using Cloud DLP to Scan BigQuery Data
Module 15: BigQuery API Basics
- Authentication
- Batch Requests
- Paging Through Tables
- API Performance Tips
Who should attend this Google BigQuery Training Course?
The Google BigQuery Course is ideal for professionals who want to get better at Serverless Data Warehouse solutions through Google BigQuery. This Google BigQuery Course can benefit the following professionals:
- Data Analysts
- Data Engineers
- Data Scientists
- Database Administrators
- Solution Architects
- ETL Developers
- Business Analysts
Prerequisites of the Google BigQuery Training Course
There are no formal prerequisites for this Google BigQuery Course.
Google BigQuery Training Course Overview
Google BigQuery Course is an essential course for professionals seeking to harness the potential of Google Cloud Platform (GCP). This fully managed, petabyte-scale analytics data warehouse plays a pivotal role in solving the challenge of storing and querying massive datasets. With its ability to deliver lightning-fast SQL queries leveraging Google's infrastructure, it's a game-changer in data analytics.
Understanding Google BigQuery is crucial for professionals across various domains, including Data Analysts, Data Engineers, and Cloud Architects. Google Cloud Courses have become increasingly significant in today's tech landscape. Mastery of Google BigQuery is essential for those aiming to earn their Google Cloud Platform Certification and excel in the field of Cloud Data Analytics.
The Knowledge Academy's 2-day Google BigQuery Course equips delegates with the knowledge and skills needed to excel in the world of Data Analytics using Google Cloud. Delegates will learn how to run and manage jobs, work with datasets, tables, partitioned tables, clustered tables, and views. They will gain expertise in loading data into BigQuery, querying it effectively, and leveraging various data sources.
Course Objectives
- To achieve a comprehensive understanding of Google BigQuery and its integration with Google Cloud Platform
- To effectively manage and execute jobs, work with datasets, and manipulate table schemas in BigQuery
- To master the art of querying and analysing data within BigQuery, including external and federated data sources
- To optimise costs and ensure robust resource security in BigQuery deployments
- To implement efficient monitoring, logging, and utilisation of the BigQuery API for advanced data analytics
Upon completion of this course, delegates will acquire the expertise needed to harness the full potential of Google BigQuery, enabling them to efficiently analyse and manage vast datasets within the Google Cloud Platform.
What’s included in this Google BigQuery Training Course?
- World-Class Training Sessions from Experienced Instructors
- Google BigQuery Certificate
- Digital Delegate Pack
Why choose us
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Google BigQuery Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
Unlock your potential with The Knowledge Academy's Google BigQuery Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
Experience the most sought-after learning style with The Knowledge Academy's Google BigQuery Training. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Google BigQuery Training sessions.
Highly experienced trainers
Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience
State of the art training venues
We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible
Small class sizes
Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment
Great value for money
Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value
Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Google BigQuery Training at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.
Tailored learning experience
Leverage benefits offered from a certification that fits your unique business or project needs
Maximise your training budget
Cut unnecessary costs and focus your entire budget on what really matters, the training.
Team building opportunity
Our Google BigQuery Training offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings
Monitor employees progress
The course know-how will help you track and evaluate your employees' progression and performance with relative ease
What our customers are saying
Natasha was fantastic and so knowledgable.
Kate Cecilia Oconnell
Google BigQuery Training FAQs
Google BigQuery is a fully-managed, serverless data warehouse designed to enable scalable and efficient analysis over vast amounts of data.
BigQuery is a fully managed data warehouse solution for real-time data analytics and large-scale data processing. It enables businesses to quickly run complex queries on large datasets, offering insights and analytics to drive data-driven decisions.
The Google BigQuery Course covers using BigQuery for data analysis and management in Google Cloud. It teaches how to run efficient queries, handle large datasets, and leverage advanced analytics to derive insights and make data-driven decisions.
Google BigQuery is in high demand due to its powerful data analytics capabilities. It allows businesses to process and analyse large datasets quickly, making it a crucial tool for organisations aiming to leverage big data for insights and decision-making.
Industries such as finance, healthcare, retail, and telecommunications benefit from Google BigQuery for its powerful data analysis capabilities. It enables them to handle large datasets, perform complex queries, and gain actionable insights quickly for strategic decision-making.
Professionals skilled in Google BigQuery typically command high salaries due to their expertise in handling large-scale data analytics and cloud-based data warehousing. This demand reflects the growing need for advanced data management and analysis skills in various industries.
Salaries for professionals working with BigQuery in Mongolia can range from approximately £50,000 to £90,000 annually. This range varies based on experience, role, and location.
Many leading companies, including Spotify, eBay, and Twitter, use BigQuery for their data analytics needs. They leverage its capabilities for real-time data processing, scalable analysis, and complex queries to drive business insights and decision-making.
To become a Google BigQuery Professional, you typically need a strong understanding of data analysis and management, SQL experience, and Google Cloud services proficiency. Relevant certifications or coursework in cloud technologies and data engineering are also beneficial.
To start a career in Google BigQuery, gain foundational data analysis and SQL knowledge, and then specialise in Google Cloud technologies. Pursue relevant certifications and hands-on projects to build expertise in managing and analysing large datasets using BigQuery.
To prepare for Google BigQuery, focus on understanding its data analytics capabilities, practice querying with SQL, and get hands-on experience with its interface.
Taking Google BigQuery Course Certification can enhance job prospects, validate analytical skills, and increase credibility in handling complex data analysis tasks.
After completing a Google BigQuery Course, you can pursue roles such as Data Analyst, Data Engineer, Business Intelligence Analyst, or Cloud Data Specialist. These positions involve managing, analysing, and visualising large datasets to drive business insights and decision-making.
The Google Cloud Digital Leader Course is designed for individuals who want to gain knowledge and skills associated with the core concepts and services of Google Cloud Platform (GCP).
There are no formal prerequisites for this Google BigQuery Course.
To pursue Google BigQuery Course, you should have a solid understanding of SQL, data analysis, and cloud computing concepts. Familiarity with Google Cloud services and experience in data management will also be beneficial for effectively using BigQuery.
A Google BigQuery course enhances your career by equipping you with advanced data analysis and management skills. Mastering BigQuery can improve decision-making capabilities and open doors to data science, analytics, and cloud computing roles.
To register for the course, visit the course The Knowledge Academy's website, navigate to the course page, and click on the registration button. Fill in the required details, select your preferred schedule, and complete the payment process.
The training covers how to effectively use BigQuery for complex data analysis, including query management, data modelling, and integration with various cloud tools.
This course comes with valuable training sessions led by experienced instructors, a digital delegate pack, and a certificate upon completion.
Google BigQuery Certification covers data analysis, SQL querying, data loading and exporting, performance tuning, and security management. It includes understanding BigQuery architecture, data manipulation, and optimising query performance for large datasets.
This course is a 1-day training course during which delegates participate in intensive learning sessions that cover various course topics.
Google BigQuery Course offers world-class training sessions from experienced instructors and a digital delegate pack.
The Knowledge Academy offers support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.
Yes, Google BigQuery Course typically includes practical projects. These projects involve real-world data analysis tasks, helping learners apply their skills in querying and managing large datasets using BigQuery and enhancing their hands-on experience and understanding.
The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.
The training fees for Google BigQuery Training certification in Mongolia starts from $3195
The Knowledge Academy is the Leading global training provider for Google BigQuery Training.
Please see our Google Cloud Certification courses available in Mongolia
Why choose us
Best price in the industry
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
Google BigQuery Training in Mongolia
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