Professional Data Engineer の取得に向けた準備
Earned 2月 14, 2024 EST
Building Codeless Pipelines on Cloud Data Fusion
Earned 11月 30, 2022 EST
Data Science on the Google Cloud Platform
Earned 11月 22, 2022 EST
Create and Manage Cloud Spanner Instances
Earned 11月 18, 2022 EST
Google Cloud の Kubernetes
Earned 11月 17, 2022 EST
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned 11月 17, 2022 EST
ML のための BigQuery
Earned 11月 16, 2022 EST
[DEPRECATED] Data Engineering
Earned 11月 13, 2022 EST
クラウド エンジニアリング
Earned 11月 12, 2022 EST
このコースでは、Professional Data Engineer（PDE）認定資格試験に向けた学習計画を作成できます。学習者は、試験の範囲を把握できます。また、試験への準備状況を把握して、個々の学習計画を作成します。
詳細
This quest offers hands-on practice with Cloud Data Fusion, a cloud-native, code-free, data integration platform. ETL Developers, Data Engineers and Analysts can greatly benefit from the pre-built transformations and connectors to build and deploy their pipelines without worrying about writing code. This Quest starts with a quickstart lab that familiarises learners with the Cloud Data Fusion UI. Learners then get to try running batch and realtime pipelines as well as using the built-in Wrangler plugin to perform some interesting transformations on data.
Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
詳細
SQL だけを使用して、数時間ではなく数分で ML モデルを構築したいとお考えの場合、BigQuery ML は、データ アナリストが既存の SQL ツールやスキルを使って、ML モデルを作成、トレーニング、 評価し、そのモデルで予測を行うことを可能にして、ML をより多くの人が利用できるようにします。 この一連のラボでは、さまざまなモデルタイプを試して、 優れたモデルを作成する方法を学習します。
詳細
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.
Professional Data Engineer の取得に向けた準備
Earned 2月 14, 2024 EST
Building Codeless Pipelines on Cloud Data Fusion
Earned 11月 30, 2022 EST
Data Science on the Google Cloud Platform
Earned 11月 22, 2022 EST
Create and Manage Cloud Spanner Instances
Earned 11月 18, 2022 EST
Google Cloud の Kubernetes
Earned 11月 17, 2022 EST
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned 11月 17, 2022 EST
ML のための BigQuery
Earned 11月 16, 2022 EST
[DEPRECATED] Data Engineering
Earned 11月 13, 2022 EST
クラウド エンジニアリング
Earned 11月 12, 2022 EST