「Google Cloud の ML API 用にデータを準備」コースの入門スキルバッジを獲得できるアクティビティを修了すると、 Dataprep by Trifacta を使用したデータのクリーニング、Dataflow でのデータ パイプラインの実行、Dataproc でのクラスタの作成と Apache Spark ジョブの実行、 Cloud Natural Language API、Google Cloud Speech-to-Text API、Video Intelligence API などの ML API の呼び出しに関するスキルを証明できます。 スキルバッジは、Google Cloud のプロダクトとサービスの習熟度を示す Google Cloud 発行の限定デジタルバッジで、 インタラクティブなハンズオン環境での知識の応用力を証明するものです。このスキルバッジ コースと最終評価チャレンジラボを修了し、 スキルバッジを獲得してネットワークで共有しましょう。
Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this course you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. It brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this course uses advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start.
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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.
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.
Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.
Google Cloud ネットワークの構築
Earned 4月 22, 2021 EDT
Google Cloud での Kubernetes アプリケーションのデプロイ
Earned 4月 22, 2021 EDT
Google Cloud の Kubernetes
Earned 4月 22, 2021 EDT
安全な Google Cloud ネットワークの構築
Earned 4月 16, 2021 EDT
Google Cloud におけるアプリ開発環境の設定
Earned 4月 5, 2021 EDT
Compute Engine でのロード バランシングの実装
Earned 4月 5, 2021 EDT
ベースライン: インフラストラクチャ
Earned 4月 5, 2021 EDT
Google Cloud Essentials
Earned 1月 24, 2021 EST
Google Cloud の ML API 用にデータを準備
Earned 10月 18, 2020 EDT
BigQuery for Marketing Analysts
Earned 10月 17, 2020 EDT
BigQuery for Data Warehousing
Earned 10月 3, 2020 EDT
ML のための BigQuery
Earned 10月 3, 2020 EDT
BigQuery のデータから分析情報を引き出す
Earned 10月 3, 2020 EDT
DEPRECATED Applied Data: Blockchain
Earned 9月 27, 2020 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned 9月 22, 2020 EDT
クラウド エンジニアリング
Earned 8月 15, 2020 EDT
Data Science on the Google Cloud Platform
Earned 10月 26, 2019 EDT
[DEPRECATED] Data Engineering
Earned 10月 24, 2019 EDT
Scientific Data Processing
Earned 10月 23, 2019 EDT
DEPRECATED BigQuery for Data Analysis
Earned 10月 22, 2019 EDT
ベースライン: データ、ML、AI
Earned 10月 16, 2019 EDT