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.
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来自 MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GCP的热门评论
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.
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.
Course material spends a little too much time promoting the benefits of GCP when it could be focusing on the technical aspects of using GCP
Really good course for beginners this will help them to understand about Data Lakes, Data Warehouses, BigQuery,Google Storage & Cloud SQL.
Very detailed course on using BigQuery. Gives clarity on different services offered in GCP. Need to attend this for detailed understanding
Very valuable information about data lakes, data warehouses, using Arrays and Structs to store data in BigQuery. Loved the course.
Very informative and good level of detail as I progress through the specialization. The hands-on learning is very appreciated.
Simply Extraordinary !! The way course took made me finish entire course with a continuous flow.Kudos to course faculty.
该课程是 Coursera 上提供的为数不多的课程之一，目前只对已购买课程或已获得助学金的学生开放。