Dalam kursus ini, Anda akan belajar tentang data engineering on Google Cloud, peran dan tanggung jawab data engineer, dan bagaimana hal tersebut terhubung dengan penawaran yang disediakan oleh Google Cloud. Anda juga akan mempelajari cara untuk mengatasi tantangan terkait data engineering.
Introduction to Data Engineering on Google Cloud - Bahasa Indonesia
Introduction to Data Engineering on Google Cloud - Bahasa Indonesia
Instructor: Google Cloud Training
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Memahami peran data engineer.
Mengidentifikasi tugas data engineering dan komponen inti yang digunakan di Google Cloud.
Memahami cara membuat dan men-deploy pipeline data dengan berbagai pola di Google Cloud.
Mengidentifikasi dan memanfaatkan berbagai teknik otomatisasi di Google Cloud.
Details to know
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Recently updated!
November 2024
Assessments
6 assignments
Taught in Indonesian
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There are 8 modules in this course
Bagian ini merupakan Pengantar kursus Data Engineering on Google Cloud, dan memberikan ringkasan tentang struktur dan sasaran kursus.
What's included
1 video
Modul ini berisi pengantar tentang peran seorang data engineer. Modul ini membahas konsep utama seperti sumber data dan sink data, format data, opsi penyimpanan di Google Cloud, pengelolaan metadata, dan penggunaan Analytics Hub untuk berbagi data di dalam dan di luar organisasi.
What's included
9 videos1 assignment1 app item
Modul ini berisi ringkasan tentang replikasi dan migrasi data di Google Cloud. Modul ini membahas arsitektur dasar, alat command line 'gcloud', Storage Transfer Service, Transfer Appliance, dan Datastream, beserta fungsi dan kasus penggunaannya.
What's included
6 videos1 assignment1 app item
Modul ini berfokus pada proses ekstraksi dan pemuatan data di Google Cloud, terutama dengan BigQuery. Modul ini membahas arsitektur ekstraksi dan pemuatan dasar, alat command line bq, BigQuery Data Transfer Service, dan BigLake sebagai alternatif dari pola ekstraksi-pemuatan tradisional.
What's included
6 videos1 assignment1 app item
Modul ini berisi ringkasan tentang proses ELT (ekstraksi, pemuatan, transformasi) di Google Cloud. Modul ini membahas arsitektur ELT dasar, contoh pipeline ELT yang umum, kemampuan BigQuery untuk membuat skrip dan penjadwalan SQL, serta fungsi dan kasus penggunaan Dataform.
What's included
5 videos1 assignment1 app item
Modul ini berisi ringkasan tentang proses ETL (ekstraksi, transformasi, pemuatan) di Google Cloud. Modul ini membahas arsitektur ETL dasar, alat GUI, opsi pemrosesan data batch dan aliran data (Dataproc, Dataproc Serverless), serta peran Bigtable dalam pipeline data.
What's included
8 videos1 assignment2 app items
Modul ini berfokus pada pola otomatisasi dan opsi untuk pipeline di Google Cloud. Modul ini membahas berbagai alat dan layanan seperti Cloud Scheduler, Workflows, Cloud Composer, Cloud Run Functions, dan Eventarc, beserta fungsi dan kasus penggunaan untuk otomatisasi.
What's included
7 videos1 assignment1 app item
Di bagian terakhir ini, kita akan meninjau apa yang telah disajikan dalam kursus ini dan membahas langkah selanjutnya untuk melanjutkan pembelajaran cloud Anda.
What's included
1 video1 reading
Instructor
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.