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Remember: All of our classroom courses are available as live instructor-led training which you can attend from home.

Remember: All of our classroom courses are available as live instructor-led training which you can attend from home.

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Google BigQuery Training - Australia

Key points about this course


Duration: 2 Days*

Support: 24/7

Dates & Prices Enquire
  • Learn how to work with data sets, table schemas and partitioned tables.
  • Gain a comprehensive knowledge of how to load data into BigQuery.
  • Learn to query BigQuery data, external data sources, and secure big query resources.

Available delivery methods for this course

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Online Instructor-Led

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Online Self-Paced

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In-house

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Classroom

Limited Budget?

We understand that people may have limited budgets.

  • To help and support our clients we will provide limited number of 250 daily discount codes.
  • Hurry first come, first served!
  • If you miss out, enquire to get yourself on the waiting list for the next day!

animated-arrow-image-0310 Enquire for daily discount code 110 Remaining (Live Counter)

Why Home Virtual is great

With an incredibly easy to use interface, our chosen platform has been designed to make learning online simple and enjoyable. It’s amazing video & audio quality means you won’t miss a thing.

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Works on all devices

Attend on whichever device works best for you.
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Recording & transcripts

Revisit what you’ve learnt at any time.
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See your trainer’s screen

Your instructor can share their screen at any time to demonstrate what they’re teaching.
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Share documents

You can share documents with the trainer and your trainer can share with you.
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Virtual whiteboard

Trainers can draw on and share their whiteboard with the class at any time.
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Key points about this course


Duration: 2 Days*

Support: 24/7

View dates & prices

Find out more

Please enter Name
Please enter valid Email
Please enter valid phone
The information you provide shall be processed by The Knowledge Academy – a professional training company. Your data shall be used by a member of staff to contact you regarding your enquiry. View privacy policy

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Or call us now
+61 1-800-150644

Google BigQuery Training Dates & Prices

Select your preferred delivery method

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Choose a Month

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Adelaide
Thu 16th Jul 2020
Places available
AUD5295
Perth
Thu 16th Jul 2020
Places available
AUD5295
Brisbane
Thu 16th Jul 2020
Places available
AUD5295
Sydney
Thu 16th Jul 2020
Places available
AUD4895
Canberra
Thu 16th Jul 2020
Places available
AUD4895
Melbourne
Thu 16th Jul 2020
Places available
AUD4895
Thu 6th Aug 2020
Places available
Was: AUD3695
Now: AUD2495
Thu 3rd Sep 2020
Places available
Was: AUD3695
Now: AUD2495
Brisbane
Thu 17th Sep 2020
Places available
AUD5295
Sydney
Thu 17th Sep 2020
Places available
AUD4895
Canberra
Thu 17th Sep 2020
Places available
AUD4895
Melbourne
Thu 17th Sep 2020
Places available
AUD4895
Adelaide
Thu 17th Sep 2020
Places available
AUD5295
Perth
Thu 17th Sep 2020
Places available
AUD5295
Thu 1st Oct 2020
Places available
Was: AUD3695
Now: AUD2495
Thu 5th Nov 2020
Places available
Was: AUD3695
Now: AUD2495
Canberra
Thu 19th Nov 2020
Places available
AUD4895
Melbourne
Thu 19th Nov 2020
Places available
AUD4895
Adelaide
Thu 19th Nov 2020
Places available
AUD5295
Perth
Thu 19th Nov 2020
Places available
AUD5295
Brisbane
Thu 19th Nov 2020
Places available
AUD5295
Sydney
Thu 19th Nov 2020
Places available
AUD4895
Thu 3rd Dec 2020
Places available
Was: AUD3695
Now: AUD2495

Complete the steps below to receive a quote or more information

How will you be funding your training?

Self funding

Company funding

Not sure

Limited Budget?

We understand that people may have limited budgets.

  • To help and support our clients we will provide limited number of 250 daily discount codes.
  • Hurry, they’re first come, first served!
  • If you miss out, enquire to get yourself on the waiting list for the next day!

  Enquire for daily discount code 110  Remaining (Live Counter)

Key points about this course


Duration: 2 Days*

Support: 24/7


Course Information

Google BigQuery Training​ Course Overview

BigQuery is Google’s fully managed, petabyte-scale, low-cost analytics data warehouse. It is an enterprise data warehouse that solves storing and querying massive datasets problem by enabling super-fast SQL queries using the processing power of Google’s Infrastructure. Delegates can access BigQuery by using command-line, by using Classic web UI or GCP console, or by making calls to the BigQuery REST API using a variety of client libraries such as Java, .NET, or Python.

This course teaches delegates about running and managing jobs, working with datasets, table schema, partitioned tables, clustered tables, and views. Delegates will acquire knowledge of how to add, view, update, filter, and delete labels in BigQuery resources. This course describes how to load data into BigQuery and querying BigQuery data. Delegates will learn how to query externally partitioned data, federated queries with cloud SQL data, query cloud big table data, cloud storage, and Google drive data. In addition, delegates will also gain an understanding of controlling BigQuery costs, securing BigQuery resources, monitoring, logging and BigQuery API.

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
  • Auto-Detecting Schemas
  • Modifying Table Schemas
  • Manually Changing Table Schemas

Module 5: Working with Tables

  • Creating and Using 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
  • Creating Integer Range 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
  • Querying Clustered Tables

Module 8: Working with Views

  • Introduction to Views
  • Creating Views
  • Controlling Access to Views
  • Creating Authorised 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 a Local File
  • Streaming Data into BigQuery

Module 11: Querying BigQuery Data

  • Running Interactive and Batch Queries
  • Performing a Query Dry Run
  • Writing Query Results
  • Using Cached Results
  • Running Parameterised Queries
  • Querying Data Using a Wildcard Table
  • Saving and Sharing Queries
  • Scheduling Queries
  • Using the Query Plan Explanation
  • Using the BigQuery Connector for Excel

Module 12: Querying External Data Sources

  • Creating a Table Definition File
  • Querying Externally Partitioned Data
  • Federated Queries with Cloud SQL Data
  • Querying Cloud Bigtable and Storage Data
  • Querying Google Cloud Drive Data

Module 13: Controlling BigQuery Costs

  • Introduction to BigQuery Costs
  • Estimating Storage and Query Costs
  • Custom Cost Controls

Module 14: Securing BigQuery Resources

  • Access Controls
  • Encryption at Rest
  • Using Cloud DLP to Scan BigQuery Data
  • Protecting Data with Cloud KMS Keys
  • BigQuery Monitoring Using Stackdriver

Module 15: BigQuery API Basics

  • Authentication
  • Authorising API Requests
  • Batch Requests
  • Paging through Tables
  • API Performance Tips

Prerequisites

There are no prerequisites for this course.

Audience

This course is for IT Professionals who want to learn about Google Cloud Technologies.

Please arrive at the venue at 8:45am.
There are no prerequisites for this course.
This course is for IT Professionals who want to learn about Google Cloud Technologies.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 2 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Google BigQuery Training certification in Australia starts from AUD2195
The Knowledge Academy is the Leading global training provider in the world for Google BigQuery Training.
  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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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.

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Various delivery methods

Flexible delivery methods are available depending on your learning style.

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Resources

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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"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."

Diane Gray, Shell

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