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.
Este curso forma parte de Programa especializado: From Data to Insights with Google Cloud
Achieving Advanced Insights with BigQuery
Acerca de este Curso
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Discuss the more advanced functions of SQL on BigQuery.
Compare how BigQuery was developed to address scaling limitations in the context of how traditional databases have evolved to handle dataset scale.
Identify the fundamental pieces of work that impact BigQuery performance and how to optimize your queries for speed.
Identify what Google Cloud and BigQuery tools are available to you to permission-control and share your data.
Habilidades que obtendrás
- Google Cloud Platform
- Cloud Computing
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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.
Programa - Qué aprenderás en este curso
Overview of what you will learn in this course
Advanced Functions and Clauses
Deepen your knowledge of SQL on BigQuery by learning about more advanced functions like statistical approximations, analytical window queries, user-defined functions, and WITH clauses.
Schema Design and Nested Data Structures
Walkthrough the evolution of how traditional databases handle dataset scale and compare how BigQuery was developed to address scaling limitations. Deep dive into nested and repeated fields which are a key part of denormalized BigQuery data structures.
Optimizing for Performance
Learn the fundamental pieces of work that impact BigQuery performance and how to optimize your queries for speed.
Advanced Insights with Vertex AI Workbench
Introducing Vertex AI Workbench -- a key tool in the Data Scientist toolkit -- which enables analysts to collaborate through the use of scalable cloud notebooks.
Securing and sharing your BigQuery datasets is critical for any organization. Learn what Google Cloud and BigQuery tools are available to you to permission control and share your data.
Summary of the course ley learning points
- 5 stars75,30 %
- 4 stars20,98 %
- 3 stars3,08 %
- 2 stars0,46 %
- 1 star0,15 %
Principales reseñas sobre ACHIEVING ADVANCED INSIGHTS WITH BIGQUERY
Arrays and Structs could have been explained better and more practice on these topics could have been helpful. Otherwise the content is very good and informative.
Useful practical course, especially about performance optimization. Window functions have many options, it would be nice to add window size description with practical examples or links to them.
Cloud Datalab, BigQuery and Data studio are pretty impressive as they could all be use to help with marketing datasets and analytics. Now forward we go!
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.
Acerca de Programa especializado: From Data to Insights with Google Cloud
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 <<<
¿Puedo acceder a una vista preliminar del curso antes de inscribirme?
Sí, puedes acceder a una vista preliminar del primer video y ver el programa antes de inscribirte. Debes comprar el curso para acceder a contenido que no está incluido en la vista preliminar
¿Qué recibiré cuando me inscriba?
Una vez que te inscribes y comienza la sesión, tendrás acceso a todos los videos y otros recursos, incluidos artículos de lectura y el foro de debate del curso. Podrás ver y enviar tareas de práctica y completar tareas con calificación obligatorias para obtener un título y un Certificado de curso
¿Cuándo recibiré mi Certificado de curso?
Si completas el curso de manera correcta, tu Certificado de curso electrónico se agregará a la página Logros. Desde allí, puedes imprimir tu Certificado de curso o agregarlo a tu perfil de LinkedIn
¿Por qué no puedo participar como oyente en este curso?
Este curso es uno de los pocos que se ofrecen en Coursera que está actualmente disponible solo para estudiantes que pagaron o que recibieron ayuda económica, si está disponible.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.
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Last Updated: September 1, 2015
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