What is BigQuery, and why is it important to learn about?

BigQuery is a serverless data warehouse that uses the Google Cloud platform. Data warehouses are critical components of data infrastructure required to collect and store data from a variety of sources for use within an organization, but building and maintaining warehouses at the scale necessary for today’s massive datasets can be expensive and time-consuming. By using cloud computing to enable rapidly-scalable analysis over petabytes of data, BigQuery is an important software as a service (SaaS) solution for companies looking to harness the power of big data flexibly and cost-effectively. Like other relational database management systems (RDBMS), BigQuery uses the Structured Query Language or SQL to enable users to quickly store, retrieve, manage, and manipulate data. The Google Cloud platform also provides access to a variety of tools from Google and its partners, including Cloud Dataprep to automate the creation of data cleansing pipelines as well as built-in machine learning capabilities to generate insights from large-scale datasets. There are also a wide range of third-party tools that can be used with BigQuery for data visualization and other tasks.

What kinds of careers can I have with a background in BigQuery?

A background in the use of BigQuery is an increasingly common requirement for a career as a data engineer. These specialized professionals in the creation and maintenance of data infrastructure are critical to the work of data science, which requires the delivery of massive datasets in a form that can be readily analyzed and utilized. And, like other cloud computing solutions, BigQuery is becoming popular with a growing number of tech companies due to its flexibility and cost-effectiveness compared to on premises data warehousing. Given the fast-growing interest in using big data across virtually every industry, it’s no surprise that data engineer jobs are in high demand - and highly paid. According to Glassdoor , data engineers in the U.S. earn an average base pay of $102,864 per year.

Can I learn about BigQuery by taking online courses on Coursera?

Yes! In fact, Coursera lets you learn about BigQuery directly from Google itself. Google Cloud offers a variety of learning opportunities through the Coursera Platform, including individual courses in BigQuery specifically as well as Specializations that span multiple courses and topics including BigQuery skills. If you want to get a valuable career credential, you can even complete coursework for a Google Cloud Professional Data Engineer certification. Regardless of your needs, the ability to study and complete course materials on your own schedule means that learning on Coursera is just as flexible - and powerful - as cloud computing-based SaaS solutions like BigQuery.

What skills or experience do I need to already have, before starting to learn BigQuery?

Before learning BigQuery, it's very advantageous to have experience writing queries using SQL. You should also have experience using databases. You may also want to be familiar with the Google Cloud Platform and have experience with cloud computing.

What topics can I study that are related to BigQuery?

Topics related to BigQuery that you can study include Google Sheets, Google Data Studio, data analytics, and the cloud. You might also be interested in learning about other big data tools, such as Redshift, DigitalOcean, S3, Apache Spark, Hadoop, and Hydra. Other technologies may also be of interest to you, such as TypeScript, auto-scaling clusters, Python, machine learning, and continuous deployment.

What types of places hire people with a background in BigQuery?

Places that hire people with a background in BigQuery include companies that are using BigQuery to manage and analyze their data. According to Google , this includes UPS, Twitter, Major League Baseball (MLB), The Home Depot, Dow Jones, Toyota, American Cancer Society, Target, 20th Century Fox, and many more. Companies in retail, financial services, media and entertainment, health care and life sciences, and government are just a few industries that hire people with a background in BigQuery across the world.

How do I know if learning BigQuery is right for me?

If you're a company, data scientist, data analyst, or individual looking for a platform that can analyze petabytes of data in the convenience of the cloud, learning BigQuery is a good fit for you. If your current data analytics processes run slower than you want or aren't giving you the data insights you need, learning BigQuery is worthwhile. BigQuery can help you manage and analyze marketing and sales data very quickly, for example. If that fits your needs, learning BigQuery may be right for you.

What are the benefits of taking an online BigQuery course?

Online BigQuery courses offer a convenient and flexible way to enhance your existing knowledge or learn new BigQuery skills. With a wide range of BigQuery classes, you can conveniently learn at your own pace to advance your BigQuery career skills.

What BigQuery courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in BigQuery, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Bigquery Courses - Learn Bigquery Online

Status: Free

Google Cloud

Cost Optimization and Data Tiering with BigLake and Cloud Storage

Skills you'll gain: Cloud Storage, Google Cloud Platform, Cloud Management, Data Lakes, Data Storage, Data Storage Technologies, Data Migration

Google Cloud

Bigtable: Qwik Start - Command Line

Skills you'll gain: Google Cloud Platform, NoSQL, Big Data, Database Administration, Databases, Data Manipulation, Command-Line Interface

Google Cloud

Google Cloud Big Data and Machine Learning Fundamentals 日本語版

Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Big Data, Cloud Infrastructure, Data Visualization, Real Time Data, Dashboard, MLOps (Machine Learning Operations), Cloud Services, Artificial Intelligence and Machine Learning (AI/ML), Data Warehousing, Machine Learning

Google Cloud

Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Data Integration, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Data Processing, Data Loss Prevention, Data Mining

Google Cloud

Connected Sheets: Qwik Start

Skills you'll gain: Google Sheets, Pivot Tables And Charts, Big Data, Data Analysis, Excel Formulas, Data Import/Export, Data Visualization, Real Time Data

Google Cloud

Understanding Your Google Cloud Costs

Skills you'll gain: Google Cloud Platform, Billing, Looker (Software), Billing Systems, Expense Management, Cloud Management, Dashboard, Cost Management, Expense Reports, Google Sheets, Account Management, Invoicing, Resource Management, Identity and Access Management

University of Colorado System

Clinical Data Models and Data Quality Assessments

Skills you'll gain: Extract, Transform, Load, Data Modeling, Clinical Data Management, Database Design, Data Warehousing, Data Quality, Data Transformation, Data Integration, Relational Databases, SQL

Google Cloud

Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

Skills you'll gain: Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Supervised Learning, Predictive Modeling, Predictive Analytics

Google Cloud

Analyzing and Visualizing Data the Google Way

Skills you'll gain: Google Sheets, Data Visualization Software, Spreadsheet Software, Big Data, Data Analysis, Data Presentation, Google Cloud Platform, Data-Driven Decision-Making, Data Integration, Data Manipulation

Google Cloud

Launching into Machine Learning en Español

Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Business Metrics, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Machine Learning Algorithms, Google Cloud Platform, Predictive Modeling, Data Analysis, Big Data, Data Science, Sampling (Statistics), Regression Analysis, Performance Tuning

Google Cloud

Data Engineer, Big Data and ML on Google Cloud en Français

Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Data Lakes, Data Warehousing, Data Infrastructure, Real Time Data, Unstructured Data, Tensorflow, Data Architecture, Data Processing, MLOps (Machine Learning Operations), Cloud Storage, Cloud Computing, Extract, Transform, Load, Big Data, Data Integration, Data Transformation, Serverless Computing, Cloud API

Google Cloud

Data Engineer, Big Data and ML on Google Cloud em Português

Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Data Lakes, Extract, Transform, Load, Real Time Data, Data Warehousing, Tensorflow, Data Processing, Data Infrastructure, MLOps (Machine Learning Operations), Cloud Storage, Big Data, Data Integration, Cloud Solutions, Data Transformation, Data Architecture, Unstructured Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

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