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.
제공자:
Google 클라우드이 강좌에 대하여
최근 조회 323,225회
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중급 단계
완료하는 데 약 12시간 필요
영어
자막: 영어
배울 내용
Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
Employ BigQuery to carry out interactive data analysis.
Choose between different data processing products on Google Cloud.
귀하가 습득할 기술
TensorflowBigqueryGoogle Cloud PlatformCloud Computing
유동적 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
중급 단계
완료하는 데 약 12시간 필요
영어
자막: 영어
제공자:
Google 클라우드
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.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
Introduction to the Google Cloud Big Data and Machine Learning Fundamentals Course
Welcome to the Google Cloud Big Data and Machine Learning Fundamentals course. Here you will learn the basics of how the course is structured and the four main big data challenges you will solve for.
완료하는 데 3시간 필요
13개 동영상 (총 80분), 2 개의 읽기 자료, 2 개의 테스트
완료하는 데 2시간 필요
Recommending Products using Cloud SQL and Spark
In this module you will have an existing Apache SparkML recommendation model that is running on-premise. You will learn about recommendation models and how you can run them in the cloud with Dataproc and Cloud SQL.
완료하는 데 2시간 필요
8개 동영상 (총 50분), 1 개의 읽기 자료, 2 개의 테스트
완료하는 데 3시간 필요
Predict Visitor Purchases Using BigQuery ML
In this module, you will learn the foundations of BigQuery and big data analysis at scale. You will then learn how to build your own custom machine learning model to predict visitor purchases using just SQL with BigQuery ML.
완료하는 데 3시간 필요
13개 동영상 (총 73분), 2 개의 읽기 자료, 2 개의 테스트
완료하는 데 2시간 필요
Real-time IoT Dashboards with Pub/Sub, Dataflow, and Data Studio
In this module you will engineer and build an auto-scaling streaming data pipeline to ingest, process, and visualize data on a dashboard. Before you build your pipeline you'll learn the foundations of message-oriented architecture and pitfalls to avoid when designing and implementing modern data pipelines.
완료하는 데 2시간 필요
8개 동영상 (총 31분), 1 개의 읽기 자료, 2 개의 테스트
완료하는 데 2시간 필요
Deriving Insights from Unstructured Data using Machine Learning
Don't want to create a custom ML model from scratch? Learn how to leverage and extend pre-built ML models like the Vision API and Cloud AutoML for image classification.
완료하는 데 2시간 필요
10개 동영상 (총 55분), 2 개의 읽기 자료, 2 개의 테스트
완료하는 데 5분 필요
Summary
In this final module, we will review the key challenges, solutions, and topics covered as part of this fundamentals course. We will also review additional resources and the steps you can take to get certified as a Google Cloud Data Engineer.
완료하는 데 5분 필요
1개 동영상 (총 5분)
검토
GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS의 최상위 리뷰
VS 제공2019년 3월 2일
Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.
AD 제공2019년 9월 23일
This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.
UK 제공2021년 2월 10일
This course is an excellent introductory to Google Cloud Platform for Data Engineers and Machine Learning enthusiasts. The labs are really thorough and give nice hands-on on the various GCP services.
AS 제공2021년 1월 21일
Touched down on every aspect required on roadmap to Machine Learning along with big data. This will help to get which flavor suits or you find it interesting and then follow on next course of action.
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