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    • Bigquery

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    126 results for "bigquery"

    • Google Cloud

      Google Cloud

      From Data to Insights with Google Cloud

      Skills you'll gain: Bigquery, Cloud Computing, Computer Architecture, Data Analysis, Data Management, Data Visualization, Database Administration, Databases, Design and Product, Distributed Computing Architecture, Entrepreneurship, Full-Stack Web Development, Leadership and Management, Machine Learning, Market Research, Marketing, Product Management, Product Marketing, Research and Design, SQL, Sales, Statistical Programming, Strategy and Operations, Web Development

      4.6

      (4k reviews)

      Beginner · Specialization

    • Coursera Project Network

      Coursera Project Network

      Working with BigQuery

      Skills you'll gain: Computer Architecture, Databases, Statistical Programming, SQL, Data Visualization, Web Development, Big Data, Data Management

      4.3

      (48 reviews)

      Beginner · Guided Project

    • Google Cloud

      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery

      Skills you'll gain: Statistical Programming, Design and Product, Cloud Computing, Web Development, Full-Stack Web Development, Distributed Computing Architecture, Computer Architecture, SQL, Databases, Product Marketing, Bigquery, Research and Design, Strategy and Operations, Analysis, Data Analysis, Entrepreneurship, Sales, Market Research, Leadership and Management, Marketing, Product Management, Data Management

      4.7

      (3.1k reviews)

      Beginner · Course

    • Google Cloud

      Google Cloud

      ETL Processing on Google Cloud Using Dataflow and BigQuery

      Intermediate · Project

    • Google Cloud

      Google Cloud

      Creating New BigQuery Datasets and Visualizing Insights

      Skills you'll gain: Databases, Statistical Programming, Cloud Computing, Web Development, Data Visualization, SQL, Full-Stack Web Development, Distributed Computing Architecture, Computer Architecture, Bigquery, Data Management

      4.6

      (1.6k reviews)

      Beginner · Course

    • Google Cloud

      Google Cloud

      Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro

      4.7

      (21 reviews)

      Intermediate · Course

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      Google Cloud

      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery 日本語版

      Skills you'll gain: Distributed Computing Architecture, Web Development, Computer Architecture, Full-Stack Web Development, Bigquery

      4.7

      (6 reviews)

      Beginner · Course

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      Google Cloud

      Google Cloud

      Online Data Migration to BigQuery using Striim

      Beginner · Project

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      Google Cloud

      Google Cloud

      Achieving Advanced Insights with BigQuery

      Skills you'll gain: SQL, Web Development, Data Visualization, Computer Architecture, Full-Stack Web Development, Databases, Distributed Computing Architecture, Statistical Programming, Cloud Computing, Database Administration, Data Management, Bigquery

      4.7

      (1.2k reviews)

      Beginner · Course

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      Google Cloud

      Google Cloud

      Using BigQuery in the Google Cloud Console

      Beginner · Project

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      Google Cloud

      Google Cloud

      How to Build a BI Dashboard Using Google Data Studio and BigQuery

      Skills you'll gain: Distributed Computing Architecture, Computer Architecture, Full-Stack Web Development, Bigquery, Web Development

      Intermediate · Project

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      Google Cloud

      Google Cloud

      Introduction to SQL for BigQuery and Cloud SQL

      Skills you'll gain: Databases, DevOps, Computer Architecture, Cloud Computing, Distributed Computing Architecture, Web Development, SQL, Full-Stack Web Development, Statistical Programming, Google Cloud Platform, Data Management

      5.0

      (20 reviews)

      Beginner · Project

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    In summary, here are 10 of our most popular bigquery courses

    • From Data to Insights with Google Cloud: Google Cloud
    • Working with BigQuery: Coursera Project Network
    • Exploring ​and ​Preparing ​your ​Data with BigQuery: Google Cloud
    • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
    • Creating New BigQuery Datasets and Visualizing Insights: Google Cloud
    • Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro: Google Cloud
    • Exploring ​and ​Preparing ​your ​Data with BigQuery 日本語版: Google Cloud
    • Online Data Migration to BigQuery using Striim: Google Cloud
    • Achieving Advanced Insights with BigQuery: Google Cloud
    • Using BigQuery in the Google Cloud Console: Google Cloud

    Frequently Asked Questions about Bigquery

    • 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.‎

    • 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.‎

    • 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.‎

    • 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.‎

    • 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.‎

    • 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.‎

    • 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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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