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Профессиональная сертификация 'Data Engineering with Google Cloud'
Advance your career in data engineering
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Чему вы научитесь
Learn the skills needed to be successful in a data engineer role
Prepare for the Professional Data Engineer certification
Learn about the infrastructure and platform services provided by Google Cloud Platform
Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
Приобретаемые навыки
Профессиональная сертификация: общие сведения
Недавно просмотрено: 90,291
87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career, and training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer certification.
Your journey to Google Cloud certification:
1) Complete the Coursera Cloud Engineering Professional Certificate
2) Review other recommended resources for the Google Cloud Associate Cloud Engineer certification exam
3) Review the Associate Cloud Engineer exam guide
4) Complete Associate Cloud Engineer sample questions
5) Register for the Google Cloud certification exam (remotely or at a test center)
Applied Learning Project
This professional certificate incorporates hands-on labs using our Qwiklabs platform.
These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products, used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.
New! CERTIFICATE COMPLETION CHALLENGE from Coursera and Google Cloud
Complete the Cloud Engineering with Google Cloud or Cloud Architecture with Google Cloud Professional Certificate before November 8, 2020 to get the following benefits;
A Google Cloud t-shirt, for the first 1,000 eligible completers while supplies last
Exclusive access to Big Interview ($950 value) and career coaching
30 days free Qwiklabs ($50 value) to earn Google Cloud skill badges
Проект прикладного обучения
This Professional Certificate incorporates hands-on labs using our Qwiklabs platform.
These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.
Карьерные результаты учащихся
41%
Начали новую карьеру, пройдя этот продукт (Специализация).
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
Только онлайн-курсы
Начните сейчас и учитесь по собственному графику.
Гибкий график
Установите гибкие сроки сдачи заданий.
Средний уровень
You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.
Прибл. 4 месяца на выполнение
Около 4 ч/неделю
Английский
Субтитры: Английский, Французский, Португальский (Европа), Русский, Испанский
Карьерные результаты учащихся
41%
Начали новую карьеру, пройдя этот продукт (Специализация).
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
Только онлайн-курсы
Начните сейчас и учитесь по собственному графику.
Гибкий график
Установите гибкие сроки сдачи заданий.
Средний уровень
You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.
Прибл. 4 месяца на выполнение
Около 4 ч/неделю
Английский
Субтитры: Английский, Французский, Португальский (Европа), Русский, Испанский
Профессиональная сертификация включает несколько курсов: 6
Google Cloud Platform Big Data and Machine Learning Fundamentals
Оценки: 12,603
This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.
Modernizing Data Lakes and Data Warehouses with GCP
Оценки: 1,920
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.
Building Batch Data Pipelines on GCP
Оценки: 1,164
Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using QwikLabs.
Building Resilient Streaming Analytics Systems on GCP
Оценки: 902
*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization.
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Google Cloud
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.
Часто задаваемые вопросы
Получу ли я зачеты в университете за прохождение специализации?
Can I just enroll in a single course?
Можно ли зарегистрироваться только на один курс?
Действительно ли это полностью дистанционный курс? Нужно ли мне посещать какие-либо занятия лично?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
Остались вопросы? Посетите Центр поддержки учащихся.
