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Serverless Data Processing with Dataflow

Foundations - 日本語版

Google Cloud Training

このコースは、Dataflow を使用したサーバーレスのデータ処理に関する 3 コースシリーズのパート 1 です。この最初のコースでは、始めに Apache Beam とは何か、そして Dataflow とどのように関係しているかを復習します。次に、Apache Beam のビジョンと Beam Portability フレームワークの利点について説明します。Beam Portability フレームワークによって、デベロッパーが好みのプログラミング言語と実行バックエンドを使用できるビジョンが実現します。続いて、Dataflow によってどのように費用を節約しながらコンピューティングとストレージを分離できるか、そして識別ツール、アクセスツール、管理ツールがどのように Dataflow パイプラインと相互に機能するかを紹介します。最後に、Dataflow でそれぞれのユースケースに合った適切なセキュリティモデルを実装する方法について学習します。

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Syllabus

はじめに

このモジュールでは、コースの概要を説明するとともに、Apache Beam プログラミングモデルと Google の Dataflow マネージドサービスについて簡単に復習します。

Beam Portability

このモジュールでは、Beam Portablity、Runner v2、コンテナ環境、言語間変換の 4 つのセクションについて学習します。

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Introduces learners to serverless data processing with Dataflow

Course is part of a three-course series on serverless data processing with Dataflow

Designed for beginners in Dataflow or serverless data processing

Instructors are from Google Cloud Training, the recognized experts in Dataflow

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Reviews summary

Foundations of serverless data processing with dataflow

According to students, this course provides a solid and comprehensive foundation in serverless data processing using Google Cloud Dataflow. Learners found the explanations to be clear and well-structured, particularly praising the modules on Apache Beam and Dataflow integration, as well as Beam Portability and IAM/security aspects. The course's greatest strength lies in its practical, hands-on labs and exercises, which significantly helped solidify theoretical concepts. While generally well-received, some learners felt the course could benefit from more advanced coding examples and might be better suited for beginners to the topic.

Course is best suited for learners new to Dataflow, less for experienced users.

"It's probably better for absolute beginners to Dataflow."

"I was hoping for more coding examples beyond the basics... felt a bit limited for someone with some prior experience."

"This course is a great starting point before diving into more complex Dataflow implementations."

Key modules like IAM/Security and Beam Portability are highly impactful.

"I particularly appreciated the module on Beam Portability and its implications."

"The section on IAM and security was particularly valuable for my work."

"The security module was really helpful for understanding best practices."

Labs are highly effective in reinforcing theoretical knowledge.

"...the labs were very helpful for hands-on learning."

"The labs made the theoretical concepts much clearer."

"The hands-on exercises were key for me to grasp the material."

Provides a solid and easily digestible introduction to core concepts.

"This course provided an excellent foundation for understanding Google Dataflow and Apache Beam. The explanations were clear..."

"Very comprehensive for a foundational course. The pace was just right, and the way it connects Apache Beam with Dataflow was really well explained."

"I gained a solid introduction to Dataflow concepts from this course, and found the content well-explained."

Some wished for more practical or advanced coding demonstrations.

"I felt some parts could have used more practical examples, especially around advanced use cases..."

"I was hoping for more coding examples beyond the basics."

"A few more concrete coding scenarios would have enhanced my learning experience."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Serverless Data Processing with Dataflow: Foundations - 日本語版 with these activities:

Organize notes, assignments, and resources from the course

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Stay organized and improve your ability to review and reference course materials.

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Create a system for organizing notes
File and store assignments
Keep track of useful resources

Review basic programming concepts

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Strengthen your foundation in programming concepts to enhance your ability to follow and implement Dataflow code.

Browse courses on Programming Fundamentals

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Review introductory programming concepts
Practice writing simple code snippets

Practice using the Apache Beam Programming Model to transform and process data

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Reinforce your understanding of the Apache Beam Programming Model and practice applying it to transform and process data.

Browse courses on Data Transformation

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Familiarize yourself with the Apache Beam Programming Model
Implement data transformations using the Apache Beam API
Practice processing data streams using the Apache Beam Streaming API

Four other activities

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Follow video tutorials on Dataflow's advanced features

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Enhance your understanding of Dataflow's capabilities by exploring video tutorials on its advanced features.

Browse courses on Streaming Data Processing

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Search for video tutorials on Dataflow's advanced features
Watch and follow the tutorials
Experiment with the features shown in the tutorials

Build a Dataflow pipeline to analyze a real-world dataset

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Apply your knowledge of Dataflow by building a complete pipeline that addresses a real-world data analysis problem.

Browse courses on Big Data Analytics

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Identify a dataset and define the problem
Design the Dataflow pipeline
Implement the pipeline using Apache Beam and Dataflow
Deploy and monitor the pipeline

Attend a workshop on Dataflow best practices and optimization techniques

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Learn from experienced practitioners and gain insights into optimizing and troubleshooting Dataflow pipelines.

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Research and identify workshops on Dataflow best practices
Attend the workshop
Apply the techniques learned to your own Dataflow projects

Participate in a Dataflow hackathon or competition

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Challenge yourself and test your Dataflow skills in a competitive environment.

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Find and register for a Dataflow hackathon or competition
Form a team or collaborate with others
Design and implement a Dataflow solution
Submit your solution and compete for recognition

Career center

Learners who complete Serverless Data Processing with Dataflow: Foundations - 日本語版 will develop knowledge and skills that may be useful to these careers:

Data Engineer

A Data Engineer is someone who designs and builds data pipelines. Data pipelines help to ensure that data is available to those who need it, when they need it, and in the format that they need it. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in data engineering.

See salaries and explore the career path for Data Engineer

Data Analyst

A Data Analyst is someone who analyzes data to find trends and patterns. This information can then be used to make better decisions. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in data analysis.

See salaries and explore the career path for Data Analyst

Software Engineer

A Software Engineer is someone who designs, develops, and maintains software applications. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in software engineering.

See salaries and explore the career path for Software Engineer

DevOps Engineer

A DevOps Engineer is someone who works to bridge the gap between development and operations. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in DevOps.

See salaries and explore the career path for DevOps Engineer

Data Scientist

A Data Scientist is someone who uses data to solve problems. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in data science.

See salaries and explore the career path for Data Scientist

Big Data Engineer

A Big Data Engineer is someone who works with large datasets. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in big data engineering.

See salaries and explore the career path for Big Data Engineer

Cloud Architect

A Cloud Architect is someone who designs and builds cloud-based solutions. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in cloud architecture.

See salaries and explore the career path for Cloud Architect

Data Integration Engineer

A Data Integration Engineer is someone who integrates data from different sources. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in data integration.

See salaries and explore the career path for Data Integration Engineer

Machine Learning Engineer

A Machine Learning Engineer is someone who develops and deploys machine learning models. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in machine learning.

See salaries and explore the career path for Machine Learning Engineer

Database Administrator

A Database Administrator is someone who manages and maintains databases. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in database administration.

See salaries and explore the career path for Database Administrator

Business Intelligence Analyst

A Business Intelligence Analyst is someone who uses data to make better business decisions. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in business intelligence.

See salaries and explore the career path for Business Intelligence Analyst

Data Visualization Specialist

A Data Visualization Specialist is someone who creates visual representations of data. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in data visualization.

See salaries and explore the career path for Data Visualization Specialist

Data Warehouse Engineer

A Data Warehouse Engineer is someone who designs and builds data warehouses. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in data warehousing.

See salaries and explore the career path for Data Warehouse Engineer

Data Governance Specialist

A Data Governance Specialist is someone who develops and implements data governance policies. This course may be useful to those looking to enter this field as it provides a foundation in the Apache Beam programming model and the Google Dataflow managed service, both of which are used extensively in data governance.

See salaries and explore the career path for Data Governance Specialist

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Serverless Data Processing with Dataflow: Foundations - 日本語版.

Secret Colors

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Scalable Internet Architectures

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Hadoop: The Definitive Guide

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Comprehensive guide to using Hadoop, which provides background knowledge that is helpful for understanding Apache Beam.

Hadoop: The Definitive Guide: Storage and Analysis...

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Spark: The Definitive Guide

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Comprehensive guide to using Spark, which provides background knowledge that is helpful for understanding Apache Beam.

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Spark: The Definitive Guide

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Kafka: The Definitive Guide

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Comprehensive guide to using Apache Kafka, which popular distributed streaming platform. This book can provide additional context and background knowledge for Apache Beam.

Kafka: The Definitive Guide: Real-Time Data and...

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