Course information

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 Authorized Views
  • Listing Views
  • Updating View Properties
  • Managing Views

Module 9: Labeling 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

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Who should attend this Google BigQuery Training Course?

The Google BigQuery Training Course in Indianapolis 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 Training Course.

Google BigQuery Training Course Overview

Google BigQuery Training in Indianapolis introduces delegates to the powerful data analytics platform Google Cloud offers. In today's data-driven landscape, harnessing BigQuery's capabilities is pivotal. This course delves into the intricacies of handling massive datasets efficiently and extracting valuable insights, making it indispensable for professionals seeking proficiency in data analysis and cloud computing.

Proficiency in Google Cloud Certifications in Indianapolis, specifically BigQuery, is crucial for data engineers, analysts, and IT professionals working with extensive datasets. Mastering this certification in BigQuery enables them to navigate complex data queries, optimize performance, and leverage advanced analytics tools. Professionals aspiring to elevate their careers in data analytics or cloud computing should prioritize mastering this technology.

This intensive 1-day Google Cloud Course by The Knowledge Academy in Indianapolis empowers delegates with hands-on experience utilizing BigQuery's functionalities. Delegates will learn to execute complex queries, manipulate data efficiently, and interpret results effectively. The training provides a comprehensive understanding of BigQuery's architecture, ensuring attendees can maximize its data analysis and decision-making potential.

Course Objectives

  • To familiarize delegates with the foundational concepts of Google BigQuery
  • To equip delegates with hands-on experience in querying and analyzing data using BigQuery
  • To demonstrate advanced querying techniques for optimized performance
  • To enable participants to design scalable data models within the Google Cloud environment
  • To explore best practices for efficient data manipulation and transformation
  • To empower attendees with the skills to interpret and visualize BigQuery results effectively

After completing the course in Indianapolis, delegates receive a certification attesting to their expertise in utilizing Google BigQuery. This certification serves as a testament to their proficiency in handling large datasets, optimizing queries, and leveraging Google Cloud's powerful analytics tools to drive informed decision-making within their organizations.

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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

Our Indianapolis venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Indianapolis is the capital and largest city in the state of Indian. With a population of over 855,000 residents it is the 14th largest city in the United States. The city is the hub of manufacturing and transportation following the completion of the National Road and the Railroad. Indianapolis is also the hub of many demanding services such as; financial services, business, logistics, distribution services, education and hospitality and tourism.

 

The city is best-known for holding the largest international single-day sporting event, the Indianapolis 500. Some of the top places to visit in Indianapolis include Victory Field, the Motor Speedway Museum, the Central Canal and Monument Circle.


Indiana University - Purdue University Indianapolis (IUPUI) has an enrollment of approximately 30,000 students which is the third largest in the state. Other universities in Indianapolis include the Butler University, Marian University, Indiana University School of Medicine, Dentistry, Informatics, Nursing, Liberal Arts and Law and Martin University.

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Address

City Center
201 North Illinois Street
16th Floor – South Tower
Indianapolis
Indiana
46204

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Google BigQuery Training in Indianapolis. 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 in Indianapolis, 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.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

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Maximise your training budget

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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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

Google BigQuery Training in Indianapolis 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 Indianapolis 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 Trainingin Indianapolis starts from $3195
The Knowledge Academy is the Leading global training provider for Google BigQuery Training.
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Resources are included for a comprehensive learning experience.

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"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

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