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

Google Cloud

Smart Analytics, Machine Learning, and AI on GCP en Español

Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Big Data, Cloud API, Jupyter, Machine Learning, Natural Language Processing, Artificial Intelligence

Google Cloud

Smart Analytics, Machine Learning, and AI on GCP 日本語版

Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Applied Machine Learning, Tensorflow, Data Pipelines, Big Data, SQL, Jupyter, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Natural Language Processing

Google Cloud

Building Batch Data Pipelines on GCP en Español

Skills you'll gain: Data Pipelines, Google Cloud Platform, Extract, Transform, Load, Data Processing, Apache Airflow, Data Integration, Apache Spark, Serverless Computing, Apache Hadoop, Big Data, Data Transformation, Cloud Computing

Google Cloud

Designing and Querying Bigtable Schemas

Skills you'll gain: Database Design, Query Languages, Google Cloud Platform, Data Access, Command-Line Interface, Configuration Management

Google Cloud

Building Batch Data Pipelines on GCP 日本語版

Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Transformation, Serverless Computing, Data Integration, Big Data, Apache Spark, Apache Hadoop, Cloud Storage

Google Cloud

Building Resilient Streaming Analytics Systems on GCP en Español

Skills you'll gain: Dataflow, Real Time Data, Google Cloud Platform, Data Pipelines, Big Data, Data Processing, Serverless Computing, SQL, Scalability, Performance Tuning

Google Cloud

Launching into Machine Learning 日本語版

Skills you'll gain: Data Quality, Data Cleansing, Machine Learning, Applied Machine Learning, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Google Cloud Platform, Classification And Regression Tree (CART), Sampling (Statistics), Regression Analysis, Performance Tuning

Google Cloud

Building Resilient Streaming Analytics Systems on GCP 日本語版

Skills you'll gain: Google Cloud Platform, Data Pipelines, Real Time Data, Big Data, Data Processing, Analytics, Data Storage Technologies, Cloud Computing, SQL, Scalability, Performance Tuning

Google Cloud

Streaming HL7 to FHIR Data with Healthcare API

Skills you'll gain: Google Cloud Platform, Cloud API, Health Information Management and Medical Records, Data Import/Export, Data Mapping, Health Care, Application Programming Interface (API), Data Store, Data Migration

Google Cloud

Visualizing Data with Google Data Studio

Skills you'll gain: Data Visualization Software, Dashboard, Interactive Data Visualization, SQL Server Reporting Services, Big Data

Status: Free

DeepLearning.AI

LLMOps

Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Generative AI, Data Pipelines, Software Versioning, Data Processing, Data Ethics, Data Transformation, Application Deployment, Artificial Intelligence, Supervised Learning

Google Cloud

Launching into Machine Learning en Français

Skills you'll gain: Exploratory Data Analysis, Data Analysis, Applied Machine Learning, Data Quality, Data Cleansing, Machine Learning, Supervised Learning, Unsupervised Learning, Performance Testing, Google Cloud Platform, Regression Analysis, Big Data, Sampling (Statistics), Performance Tuning

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Smart Analytics, Machine Learning, and AI on GCP en Español

Smart Analytics, Machine Learning, and AI on GCP 日本語版