The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
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來自ACHIEVING ADVANCED INSIGHTS WITH BIGQUERY的熱門評論
Lots of in-depth material covered in this course, including nesting of data structures. Also provides high-level introductions to Google Data Studio and Cloud DataLab.
Curso bem legal para se conhecer mais a estrutura do BigQuery, capacidades de processamento e possibilidades de controle de acesso à dados!
I really appreciated all of the labs that went along with this course. They were detailed and thorough and led us through some advanced concepts in a digestible, understandable fashion.
Learnt so much from the course especially how bigquery works, how data sharding is done and assigned to workers and how they work on that parallel.
關於 From Data to Insights with Google Cloud 專項課程
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!
This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: ● Data Analysts, Business Analysts, Business Intelligence professionals ● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
该课程是 Coursera 上提供的为数不多的课程之一，目前只对已购买课程或已获得助学金的学生开放。
Qwiklabs Terms of Service
Definitions“Service” means the Lab Service and the Lab Creation Service, collectively, along with the Qwiklab Site.“Lab Service” means the educational, training, and learning services provided to you through the Qwiklabs Site, or any related website provided by Cloud vLab, in concert with your respective Lab Sponsor.“Creator role” means the designation of your account as a creator to access the “Lab Creation Service”. If you have the Creator role, all sections of this agreement apply to you including sections that reference the Lab Service and the Lab Creation Service.“Lab Creation Service” means the services and functionality hosted by Cloud vLab and made available to you only if you have a “Creator role” on or through the Qwiklabs Site through which you may deploy, configure, customize, manage, administer, and control a virtual server for implementing and testing software as a part of your training through the Lab Service.“Lab Sponsor” means the company or other organization with whom you are employed or otherwise associated in connection with the Lab Service."Content" means any content or work of authorship created, owned or licensed by you only if you have a “Creator role’, submitted to the Lab Creation Service, and that is transmitted, rendered, displayed or executed on or through the Service, including without limitation any text, postings, audio, sounds, video, photos, images, messages, software, and materials.“Sponsor Content” means any content or work of authorship created, owned, or licensed by your Lab Sponsor and utilized in the Service.“Qwiklabs Technology” means all of Cloud vLab’s proprietary technology (including, but not limited to, software, hardware, products, processes, algorithms, user interfaces, know-how, techniques, designs, and other tangible or intangible technical material or information) made available to you by Cloud vLab in providing the Service, excluding Sponsor Content.“Qwiklabs Site” means the web site located at Qwiklab.com, and/or any related or successor URLs operated or controlled by Cloud vLab.“Resources” means any virtual or physical infrastructure provided to you by the Service.Use of the ServiceOverview of Rights
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Last Updated: September 1, 2015