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    • Bigquery

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    160 Ergebnisse für „bigquery“

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      Google Cloud

      From Data to Insights with Google Cloud

      Kompetenzen, die Sie erwerben: Cloud Computing, Google Cloud Platform, SQL, Databases, Cloud Platforms, Machine Learning, Information Technology, Computer Architecture, Data Management, Web Development, Distributed Computing Architecture, Entrepreneurship, Statistical Programming, Full-Stack Web Development, Cloud Storage, Business Psychology, Data Analysis, Data Analysis Software, Database Administration, Big Data, Computer Science, Data Science, Data Visualization, Cloud Management, Design and Product, Exploratory Data Analysis, Leadership and Management, Machine Learning Software, Market Research, Marketing, Product Management, Product Marketing, Research and Design, Sales, Strategy and Operations

      4.6

      (4.4k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Working with BigQuery

      Kompetenzen, die Sie erwerben: Big Data, Data Management, Data Visualization, Databases, SQL, Statistical Programming

      4.3

      (118 Bewertungen)

      Beginner · Guided Project · Less Than 2 Hours

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      Google Cloud

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

      Kompetenzen, die Sie erwerben: Cloud Computing, Google Cloud Platform, Computer Architecture, Data Analysis, Data Management, Distributed Computing Architecture, Full-Stack Web Development, Web Development

      3.8

      (6 Bewertungen)

      Intermediate · Project · Less Than 2 Hours

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      Google Cloud

      Exploring ​and ​Preparing ​your ​Data with BigQuery

      Kompetenzen, die Sie erwerben: Cloud Computing, Google Cloud Platform, Information Technology, Data Management, Databases, SQL, Statistical Programming, Big Data, Cloud Platforms, Cloud Storage, Computer Science, Data Science, Cloud Management, Computer Architecture, Data Analysis, Design and Product, Distributed Computing Architecture, Entrepreneurship, Exploratory Data Analysis, Full-Stack Web Development, Leadership and Management, Market Research, Marketing, Product Management, Product Marketing, Research and Design, Sales, Strategy and Operations, Web Development

      4.7

      (3.4k Bewertungen)

      Beginner · Course · 1-3 Months

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      University of California San Diego

      Big Data

      Kompetenzen, die Sie erwerben: Data Management, Big Data, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Distributed Computing Architecture, Machine Learning, Business Analysis, Statistical Programming, Data Science, Graph Theory, Mathematics, Apache, Computer Architecture, Databases, Data Analysis Software, NoSQL, Data Architecture, Machine Learning Algorithms, Business, Data Model, Data Structures, Spreadsheet Software, Data Mining, Python Programming, Data Visualization, SQL, Statistical Machine Learning, Statistical Visualization, Database Application, Information Technology, Cloud Computing, Software As A Service, Applied Machine Learning, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Database Administration, Dimensionality Reduction, Feature Engineering, General Statistics, PostgreSQL, Regression, Statistical Analysis, Algorithms, Data Warehousing, Theoretical Computer Science

      4.5

      (13.5k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Google Cloud

      Introduction to SQL for BigQuery and Cloud SQL

      Kompetenzen, die Sie erwerben: Databases, Cloud Computing, Cloud Platforms, Cloud Storage, Computer Architecture, Data Management, DevOps, Distributed Computing Architecture, Full-Stack Web Development, Google Cloud Platform, SQL, Statistical Programming, Web Development

      4.7

      (46 Bewertungen)

      Beginner · Project · Less Than 2 Hours

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      Google Cloud

      Achieving Advanced Insights with BigQuery

      Kompetenzen, die Sie erwerben: Cloud Computing, Google Cloud Platform, SQL, Databases, Cloud Storage, Computer Architecture, Data Analysis, Data Analysis Software, Database Administration, Distributed Computing Architecture, Cloud Management, Data Management, Full-Stack Web Development, Machine Learning Software, Statistical Programming, Web Development

      4.7

      (1.3k Bewertungen)

      Beginner · Course · 1-3 Months

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      Google Cloud

      Exploring Your Ecommerce Dataset with SQL in Google BigQuery

      Kompetenzen, die Sie erwerben: SQL

      Beginner · Project · Less Than 2 Hours

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      Google Cloud

      BigQuery Soccer Data Analysis

      Kompetenzen, die Sie erwerben: Data Analysis, Statistical Analysis

      Beginner · Project · Less Than 2 Hours

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      Google Cloud

      ETL Processing on Google Cloud Using Dataflow and BigQuery

      Kompetenzen, die Sie erwerben: Apache, Cloud Storage, Computer Architecture, Data Management, Hardware Design

      Intermediate · Project · Less Than 2 Hours

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      Google Cloud

      Exploring the Public Cryptocurrency Datasets Available in BigQuery

      Kompetenzen, die Sie erwerben: SQL

      Advanced · Project · Less Than 2 Hours

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      Google Cloud

      Using BigQuery in the Google Cloud Console

      Beginner · Project · Less Than 2 Hours

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    1234…14

    Zusammenfassend sind hier 10 unserer beliebtesten bigquery Kurse

    • From Data to Insights with Google Cloud: Google Cloud
    • Working with BigQuery: Coursera Project Network
    • How to Build a BI Dashboard Using Google Data Studio and BigQuery: Google Cloud
    • Exploring ​and ​Preparing ​your ​Data with BigQuery: Google Cloud
    • Big Data: University of California San Diego
    • Introduction to SQL for BigQuery and Cloud SQL: Google Cloud
    • Achieving Advanced Insights with BigQuery: Google Cloud
    • Exploring Your Ecommerce Dataset with SQL in Google BigQuery: Google Cloud
    • BigQuery Soccer Data Analysis: Google Cloud
    • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud

    Häufig gestellte Fragen zum Thema 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.‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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