Menjadi anggota sejak 2022
Membangun Pipeline Tanpa Kode di Cloud Data Fusion
Earned Sep 17, 2022 EDT
Rekayasa Data untuk Pembuatan Model Prediktif dengan BigQuery ML
Earned Sep 9, 2022 EDT
[DEPRECATED] Data Engineering
Earned Sep 9, 2022 EDT
Membangun Data Warehouse dengan BigQuery
Earned Agu 31, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Agu 24, 2022 EDT
Kursus ini menawarkan praktik langsung dengan Cloud Data Fusion, platform integrasi data tanpa kode berbasis cloud. Developer ETL, Data Engineer, dan Analis dapat memperoleh manfaat besar dari transformasi dan konektor bawaan untuk membangun dan men-deploy pipeline mereka tanpa perlu menulis kode. Kursus ini dimulai dengan lab panduan memulai yang memperkenalkan UI Cloud Data Fusion kepada peserta. Peserta dapat mencoba menjalankan pipeline batch dan real time serta menggunakan plugin Wrangler untuk melakukan beberapa transformasi menarik pada data.
Selesaikan badge keahlian tingkat menengah Rekayasa Data untuk Pembuatan Model Prediktif dengan BigQuery ML untuk menunjukkan keterampilan Anda dalam hal berikut: membangun pipeline transformasi data ke BigQuery dengan Dataprep by Trifacta; menggunakan Cloud Storage, Dataflow, dan BigQuery untuk membangun alur kerja ekstrak, transformasi, dan pemuatan (ETL); serta membangun model machine learning menggunakan BigQuery ML.
This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
Selesaikan badge keahlian tingkat menengah Membangun Data Warehouse dengan BigQuery untuk menunjukkan keterampilan Anda dalam hal berikut: menggabungkan data untuk membuat tabel baru, memecahkan masalah penggabungan, menambahkan data dengan union, membuat tabel berpartisi tanggal, serta menggunakan JSON, array, dan struct di BigQuery.
Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.