- Information Engineering
- Google Cloud
- Bigquery
- Tensorflow
- Cloud Computing
- Google Cloud Platform
Google Cloud 認定資格の取得準備:クラウドデータエンジニア プロフェッショナル認定証
Advance your career in data engineering
提供:
学習内容
Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
Employ BigQuery to carry out interactive data analysis.
Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
Choose between different data processing products on Google Cloud.
習得するスキル
このプロフェッショナル認定証について
応用学習プロジェクト
This Professional Certificate incorporates hands-on labs using our Qwiklabs platform.
These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.
You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.
You should have basic proficiency with a common query language such as SQL; experience developing applications using common programming languages.
プロフェッショナル認定とは何ですか?
仕事の準備ができるスキルを構築する
新しいキャリアを始めようとしている方も、現在のキャリアを変更しようとする方も、Courseraのプロフェッショナル認定は、仕事の準備をするのに役立ちます。自分のペースで、いつでもどこでも、最も便利な場所で学びましょう。今すぐ登録して、7日間の無料トライアルで新しいキャリアパスを探索してください。学習を一時停止したり、サブスクリプションをいつでも終了することができます。
実践型プロジェクト
実践型プロジェクトでスキルを活用し、潜在的な雇用主に仕事の準備ができていることを示すポートフォリオを構築します。認定証を獲得するには、成功裏にプロジェクトを終了させる必要があります。
キャリア資格を取得
プログラムのすべてのコースを修了すると、認定資格を取得してプロフェッショナルのネットワークと共有し、キャリアサポートリソースへのアクセスをロック解除して、新しいキャリアを開始できます。多くのプロフェッショナル認定にはプロフェッショナル認定を認める採用パートナーがいます。他の認定は、認定試験の準備に役立ちます。それぞれのプロフェッショナル認定ページで詳細を確認することができます。

このプロフェッショナル認定証には6コースあります。
Google Cloud Big Data and Machine Learning Fundamentals
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Modernizing Data Lakes and Data Warehouses with Google Cloud
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
Building Batch Data Pipelines on GCP
Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.
Building Resilient Streaming Analytics Systems on Google Cloud
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud using QwikLabs.
提供:

Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
よくある質問
返金ポリシーについて教えてください。
1つのコースだけに登録することは可能ですか?
このコースは100%オンラインで提供されますか?実際に出席する必要のあるクラスはありますか?
How long does it take to complete the Professional Certificate?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。