Exploring and Preparing your Data with BigQuery Training

Live Online & Classroom Enterprise Training

Learn how to explore, clean, transform, and prepare datasets using BigQuery to support analytics and data-driven decision making in modern cloud environments.

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What is Exploring and Preparing your Data with BigQuery Course about?

This course provides hands-on knowledge of using BigQuery to explore large datasets, perform data cleaning, and prepare data for analytics and reporting. Learners will understand BigQuery architecture, SQL querying, data transformation techniques, and best practices for optimizing performance and cost. By the end of the course, participants will be able to efficiently manage and prepare data pipelines for business intelligence and advanced analytics workloads.

What are the objectives of Exploring and Preparing your Data with BigQuery Course ?

Understand BigQuery architecture and core components
Query and explore large datasets using Standard SQL
Clean and transform raw data for analysis
Optimize query performance and cost efficiency
Prepare datasets for reporting and downstream analytics

Who is Exploring and Preparing your Data with BigQuery Course for?

Data Analysts working with cloud data warehouses
Data Engineers building data pipelines
Business Intelligence Professionals
Database Administrators moving to cloud platforms
Developers working with data-driven applications

What are the prerequisites for Exploring and Preparing your Data with BigQuery Course?

Prerequisites:

Basic understanding of SQL queries
Fundamental knowledge of databases and tables
Basic understanding of cloud computing concepts
Familiarity with data analytics concepts
Basic command line or console navigation skills

Learning Path:

Introduction to Cloud Data Warehousing Concepts
BigQuery Environment Setup and Navigation
Data Exploration using SQL in BigQuery
Data Cleaning and Transformation Techniques
Query Optimization and Performance Best Practices

Related Courses:

Introduction to Google Cloud Data Analytics
Data Warehousing with BigQuery
Building Data Pipelines on Google Cloud
Data Visualization with Looker or BI Tools

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Data on Google Cloud

Analytics challenges faced by data analysts

Big data on-premises versus in the cloud

Real-world use cases

Google Cloud project basics

Module 2: Big Data Tools Overview

Data analyst tasks and challenges and Google Cloud data tools

9 fundamental BigQuery features

Data architecture diagram

Google Cloud tools for analysts, data scientists, and data engineers

Getting Started with GCP and Qwiklabs

Exploring an Ecommerce Dataset using SQL in Google BigQuery

Module 3: Exploring Your Data with SQL

Introduction to the Google Analytics ecommerce dataset

Common data exploration techniques

Query basics

Introduction to functions

Filters, aggregates, and duplicates

Data types, date functions, and NULLs

Wildcard filters with LIKE

Troubleshooting Common SQL Errors with BigQuery v1.5

Module 4: BigQuery Pricing

BigQuery jobs

Sizing and cost management

Optimize queries for cost

Module 5: Cleaning and Transforming Your Data

5 principles of dataset integrity

Dataset shape and skew

Clean and transform data using SQL

Clean and transform data using a new UI: Introducing Dataprep

Exploring and Creating an Ecommerce Analytics Pipeline with Cloud Dataprep v1.5

Components of Data Fusion

Build a pipeline

Explore data using wrangler

Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

Who is the instructor for this training?

The trainer for this Exploring and Preparing your Data with BigQuery Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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