Google Bigquery Course Content

Our Google BigQuery Course content is closely associated with current industry needs and is updated frequently to cover the latest modules. Our data engineering professionals have designed and developed Google BigQuery training concepts, labs, projects, use cases, and more carefully to create a hurdle-free path for your next job.

Topics:

  • What is BigQuery
  • BigQuery ML
  • BigQuery Omni
  • How does BigQuery Work?
  • BigQuery Web UI
  • Command Line Tool

Topics:

  • Fundamentals of BigQuery Migration
  • Schema and Data Migration
  • Migrate Data Pipelines
  • Migration Assessment
  • Migration From Other Sources

Topics:

  • Different Datasets
  • Dataset Locations
  • Copy and Move Datasets
  • List Datasets
  • Move Datasets
  • Update and Manage Datasets

Topics:

  • Create and Use Tables
  • Manage Tables
  • DML Changes to Tables
  • Export Table Data
  • Partitioned Tables
  • Table Schemas
  • Clustered Tables

Topics:

  • Introduction to Views
  • Types of Views
  • Creating Views 
  • Managing Views

Topics:

  • What is BigQuery
  • BigQuery ML
  • BigQuery Omni
  • How does BigQuery Work?
  • BigQuery Web UI
  • Command Line Tool

Topics:

  • Fundamentals of BigQuery Migration
  • Schema and Data Migration
  • Migrate Data Pipelines
  • Migration Assessment
  • Migration From Other Sources

Topics:

  • Different Datasets
  • Dataset Locations
  • Copy and Move Datasets
  • List Datasets
  • Move Datasets
  • Update and Manage Datasets

Topics:

  • Create and Use Tables
  • Manage Tables
  • DML Changes to Tables
  • Export Table Data
  • Partitioned Tables
  • Table Schemas
  • Clustered Tables

Topics:

  • Introduction to Views
  • Types of Views
  • Creating Views 
  • Managing Views

Topics:

  • Materialized Views
  • Use of Materialized Views
  • Managing Materialized Views

Topics:

  • User-defined Functions
  • Table Functions
  • Remote Functions
  • Stored Procedures

Topics:

  • Batch Load Data
  • Load Different Formats of Data’
  • Load Externally Partitioned Data
  • Load Data from Third-Party Applications

Topics:

  • Query BigQuery Data
  • Query SQL Data
  • Work With Sessions
  • Search in BigQuery
  • Handling External Data Sources
  • Geospatial Analytics

Topics:

  • Workload Management
  • Resource Management
  • Resource Optimization
  • Reliability

Topics:

  • Data Security Features
  • Access Control
  • Manage Encryption
  • Manage Data Quality

Topics:

  • BigQuery API Basics
  • API’s to Read & Write Data
  • Using Python Libraries
  • Bigquery Best Practices

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LIVE SESSIONS


  • Real-time Trainers
  • Live interactive Sessions
  • Cloud Labs

CORPORATE TRAINING


  • Customized Training Solutions
  • Blended Delivery Model
  • Project Implementation Support

SELF-PACED LEARNING


  • High-Quality Videos
  • Access to Materials
  • Permanent Access

Google Bigquery Certification Course Objectives

  • Understand the Fundamentals of Data Warehouse Platforms
  • Explore Google Bigquery Core Features
  • Handle Data Loading
  • Handle Data Unloading
  • Able to Create Stored Procedures
  • Create Views & Materialized Views
  • Write Standard SQL Queries to Load Data
  • Explore Prationed Tables
  • Learn Security Aspects of Bigquery Platform
  • Work on Denormalized Data Structures
  • Best Practices to Handle Google BigQuery

IT professionals, Data Engineering Professionals can join this Google Bigquery course.

Participants should have knowledge of SQL.

The main motive of this Google BigQuery training is to cover end-to-end concepts for this cloud data warehouse platform and transform you into a skilled professional. After finishing this Bigquey course, you will be in a position to plan, design, develop, deploy, and manage data warehousing solutions for your organization.

Google BigQuery is one of the leading cloud data warehouse platforms thousands of organizations use to process and analyze massive volumes of data. Learning Google BigQuery will surely help you advance your career. Data warehousing professionals have good career opportunities.

Google BigQuery is one of the top cloud-based data warehouse platforms available in the market. It allows organizations to analyze large data sets. It is a highly scalable platform with built-in machine learning and BI capabilities. BigQuery uses Google infrastructure facilities to process petabytes of data in minutes.

Bigquery supports all data types, including structured and unstructured. It also supports multiple data formats, such as JSON, Avro, CS, Parquet, etc. Google Bigquery's serverless architecture lets SQL queries perform data analysis operations. Bigquery comes with a robust distributed analysis engine that processes petabytes of data in minutes.

A data warehouse is a centralized platform used by organizations to store and analyze data from multiple sources, whether structured or unstructured. It collects and stores business information from multiple sources and organizes data strategically to support BI and reporting systems.

Google Bigquery is one of the famous and influential cloud-based data warehouse platforms used by thousands of organizations across the globe to store, query, and analyze large volumes of data and make decisions based on data. The following are the key features of the Google BigQuery data warehouse platform:

  • Serverless Architecture
  • Scalable
  • Real-time Data Analysis
  • Advanced Analytics
  • Geospatial Analysis
  • Data Integration
  • Security and Compliance
  • Flexible and costing model

Google Bigquery Certification

Yes, once you finish your Google BigQuery training course you will receive an electronic course completion certificate from Techsolidiy. You can share this certificate on social media platforms to showcase your data engineering & ETL skills to employers.

This Google BigQuery consists of 2 Mini projects. Working on assignments and projects during this course will help you master concepts in real time. Project experience will also build confidence in you and help you ace the interviews you attend.

techsolidity-certification

Google Bigquery Projects

Our Google Bigquery training is more of a practical-oriented program, and from day one, you will be working on assignments & get a chance to explore each component. By the end of this Google Bigquery certification course, you will gain complete knowledge to work on enterprise-grade projects.

Google Bigquery Online Training Reviews

Google Bigquery FAQ's

Yes, Techsolidty offers you two types of Discounts: one is group discount and the other is referral discount.
Yes, In order to provide you the financial flexibility, we provide you the chance to pay the course fee in two installments.
Due to any reasons, you would like to cancel your registration after paying the fee, you should intimate the same to us within the first two classes. The refund amount will be processed within 30 days from the requested date.
To meet the customer expectations we provide multiple types of training which include, Live instructor-led training, Self-paced training, blended training, classroom training, corporate training, etc.
Yes, at Techsolidity all the training courses consist of a minimum of two projects to offer the candidates real-time work understanding!