Menjadi anggota sejak 2022
Menerapkan Konsep LookML Lanjutan di Looker
Earned Sep 8, 2024 EDT
Mengelola Model Data di Looker
Earned Mar 31, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Des 17, 2023 EST
Developing Data Models with LookML
Earned Nov 10, 2023 EST
Understanding LookML in Looker
Earned Sep 6, 2023 EDT
Di kursus ini, Anda akan mendapatkan pengalaman langsung dalam menerapkan konsep LookML lanjutan di Looker. Anda akan mempelajari cara menggunakan Liquid untuk menyesuaikan dan membuat dimensi serta ukuran dinamis, membuat tabel turunan SQL dinamis dan tabel turunan native yang disesuaikan, serta menggunakan ekstensi untuk memodularisasi kode LookML Anda.
Selesaikan badge keahlian tingkat menengah Mengelola Model Data di Looker untuk menunjukkan keterampilan dalam hal berikut: mempertahankan performa project LookML; memanfaatkan SQL runner untuk validasi data; menerapkan praktik terbaik LookML; mengoptimalkan kueri dan laporan untuk performa; serta menerapkan tabel turunan persisten dan kebijakan penyimpanan ke dalam cache.
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.