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Google BigQuery Training and Certification Course

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Dive into Data with Google BigQuery! Master the art of data analysis and manipulation using Google's powerful, cloud-based BigQuery service with Multisoft Virtual Academy. Harness your data's potential, generate impactful insights, and propel your career forward. Start your data journey with us today!

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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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Course Highlights

Duration: 24 Hrs.
Subject Matter Expert
After Training Support
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Lifetime e-Learning Access
Free Online Assessments

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Google BigQuery Training Course Syllabus

Curriculum Designed by Experts

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There are various online courses available for interacting with Google BigQuery. These courses provide hands-on training and cover topics such as querying, data manipulation, and advanced analytics using BigQuery's powerful features.

Introduction to BigQuery
BigQuery Sandbox and Web UI
Command-Line Tools
BigQuery Classic Web UI

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Introduction
Running Jobs Programmatically
Managing Jobs

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Define Datasets
Dataset Locations
Creating and Copying Datasets
Controlling Access to Datasets
Listing Datasets
Updating Dataset Properties
Managing Datasets
Availability and Durability

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Specifying a Schema
Specifying Nested and Repeated Columns
Auto-Detecting Schemas
Modifying Table Schemas
Manually Changing Table Schemas

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Creating and Using Tables
Managing Tables and Table Data
Exporting Table Data
Updating Table Data using DML

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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

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Define Clustered Tables
Creating and Using Clustered Tables
Querying Clustered Tables

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Introduction to Views
Creating Views
Controlling Access to Views
Creating Authorised Views
Listing Views
Updating View Properties
Managing Views

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Adding Labels
Viewing Labels
Updating Labels
Filtering Using Labels
Deleting Labels

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Loading Data from Cloud Storage
Loading Data from a Local File
Streaming Data into BigQuery

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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

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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

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

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

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

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Google BigQuery Training Description

In our Google BigQuery Certification Course, we aim to equip learners with the necessary knowledge and skills to become proficient in using Google BigQuery. We will delve into the fundamentals of this powerful platform, covering everything from basic operations to advanced analytical features.

Understand the Fundamentals: Grasp the basics of Google BigQuery, its core concepts, and where it fits in the broader data analytics ecosystem.
Apply SQL in BigQuery: Utilize SQL for BigQuery to effectively query, analyze, and manipulate large datasets.
Design Efficient Schemas: Implement best practices for designing schemas in BigQuery to ensure your databases are organized, robust, and efficient.
Manage and Load Data: Learn different techniques to load, manage, and extract data from BigQuery.
Optimize Queries: Improve the performance of your queries by learning how to optimize them for speed and cost efficiency.
Integrate with Machine Learning: Understand how to use BigQuery ML to create and use machine learning models for advanced data analytics.
Apply Knowledge to Real-World Scenarios: Use hands-on projects and case studies to apply learned skills to real-life data situations and challenges.

The Google BigQuery course is ideal for:

Data Analysts
Data Scientists
Database Administrators
IT Professionals
Students and Aspiring Data Professionals
Business Intelligence Professionals

The prerequisites for the Google BigQuery course are:

Basic Knowledge of SQL: Understanding of SQL (Structured Query Language) basics is helpful as Google BigQuery uses a dialect of SQL. Familiarity with concepts like select statements, joins, and aggregate functions will be beneficial.
Familiarity with Databases: General understanding of databases, how they are structured, and how they work will aid your comprehension of BigQuery.
Basic Understanding of Cloud Computing: Google BigQuery is a cloud-based service. While not mandatory, a basic understanding of cloud concepts, particularly Google Cloud Platform, can enhance your learning experience.
Data Analysis Fundamentals: While we will cover many concepts from scratch, a basic understanding of data analysis principles can be helpful in grasping BigQuery's capabilities.

Google BigQuery Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

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Google BigQuery Corporate Training Certification

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Step-by –Step Learning Approach
Instant Doubt Clearing

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Lifetime E-learning Access
Recorded Training Session Videos
Free Access to Practice Tests

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Help Desk Support
Doubt Resolution in Real-time
After Training Support

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Project Based Learning
Learning based on real-life examples
Assignments and Practice Tests

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Google BigQuery Training FAQ's

While not required, basic knowledge of SQL and familiarity with data analysis concepts can be beneficial. However, the course is designed to be accessible even for beginners.

Yes, the course includes numerous practical exercises, real-world scenarios, and case studies to help you apply what you've learned.

No, this course is ideal for anyone interested in data analysis and manipulation, including IT professionals, students, and business intelligence professionals.

The duration can vary depending on your existing knowledge and how much time you can dedicate to the course each week. However, on average, learners complete the course in a few weeks.

This course is designed to provide you with a deep understanding of Google BigQuery. While it will certainly be beneficial for certification preparation, it's advised to review the specific exam guidelines and material as well.

To get the most out of the course, it's recommended that you sign up for a Google Cloud Platform account to access BigQuery and other related services.

You will have access to our instructors and a community of learners for any questions or discussions. You will also receive regular feedback on your progress.