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. 7 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. 7 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
4 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.
4 minutes pour terminer
2 vidéos (Total 4 min)
1 heure 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
1 heure pour terminer
14 vidéos (Total 40 min)
2 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.
2 heures pour terminer
8 vidéos (Total 42 min)
4 heures pour terminer
Building a data warehouse
In this module, we talk about BigQuery as a data warehousing option on Google Cloud
4 heures pour terminer
16 vidéos (Total 92 min)
2 minutes pour terminer
Summary
A summary of the key learning points
2 minutes pour terminer
1 vidéo (Total 2 min)
Avis
Meilleurs avis pour MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
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 FM16 avr. 2020
A better understanding of BigQuery starts here. A vital resource for consultants, data analysts, and product managers, and an important reference source for engineers and data scientists.
par BA8 févr. 2020
The course offers a nice description of what modern DWH means, which are the differences between classic DWH and cloud DWH. You have the chance to work with the new cloud concept 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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