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 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.
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Google CloudÀ propos de ce cours
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Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
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Niveau intermédiaire
Approx. 7Â heures pour terminer
Anglais
Sous-titres : Anglais
Ce que vous allez apprendre
Understand the differences between data lakes and data warehouses, the two key components of any data pipeline.
Explore use-cases for each type of storage and dive into the available data lake and warehouse solutions on Google Cloud in technical detail.
Understand the role of a data engineer and the benefits of a successful data pipeline to business operations.
Examine why data engineering should be done in a cloud environment.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau intermédiaire
Approx. 7Â heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
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.
Programme de cours : ce que vous apprendrez dans ce cours
4Â minutes pour terminer
Introduction
This module introduces the Data Engineering on Google Cloud source series and this Modernizing Data Lakes and Data Warehouses with Google Cloud course.
4Â minutes pour terminer
2 vidéos (Total 4 min)
2Â heures pour terminer
Introduction to Data Engineering
This module describes the role of a data engineer and motivates the claim why data engineering should be done in the Cloud
2Â heures pour terminer
14 vidéos (Total 41 min)
2Â heures pour terminer
Building a Data Lake
In this module, we describe what data lake is and how to use Cloud Storage as your data lake on Google Cloud.
2Â heures pour terminer
8 vidéos (Total 42 min)
4Â heures pour terminer
Building a data warehouse
In this module, we talk about BigQuery as a data warehousing option on Google Cloud
4Â heures pour terminer
16 vidéos (Total 91 min)
2Â minutes pour terminer
Summary
A summary of the key learning points
2Â minutes pour terminer
1 vidéo (Total 2 min)
Avis
- 5 stars72,69Â %
- 4 stars22,94Â %
- 3 stars3,31Â %
- 2 stars0,73Â %
- 1 star0,30Â %
Meilleurs avis pour MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
par AT4 mai 2020
We can see how fast, useful and pragmatic are moder data lakes and dataware houses. And of course some hands on experience to have fun.
par TP29 janv. 2020
The labs were awesome! The trainers in the video and in the demo were well prepared. The quizes however were short and not well thoughtful.
par AA14 févr. 2020
Good introduction and overview of the field of data engineering, data lakes and modern data warehouses and a hands-on walkthrough of all the technologies related to solving these problems on GCP.
par ME29 août 2020
I really like how the Google courses do not overwhelm the learner with too much information. The information was presented well and the labs were very practical with clear instructions.
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