OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Building Resilient Streaming Analytics Systems on GCP auf Deutsch

Google Cloud Training
*Hinweis: Dieser Kurs ist neu und enthält aktualisierte Inhalte, die sich möglicherweise von Inhalten in früheren Versionen der Spezialisierung unterscheiden. Die Verarbeitung von Streamingdaten gewinnt zunehmend an Bedeutung, weil sich mit Streaming Echtzeitmesswerte für Geschäftsvorgänge abrufen lassen. Im Kurs wird behandelt, wie Streamingdaten-Pipelines in der Google Cloud Platform erstellt werden. Zur Verarbeitung eingehender Streamingdaten wird Cloud Pub/Sub verwendet. Außerdem erklären wir, wie Aggregationen und Transformationen mit Cloud Dataflow auf Streamingdaten angewendet werden und wie verarbeitete Datensätze für...
Read more
*Hinweis: Dieser Kurs ist neu und enthält aktualisierte Inhalte, die sich möglicherweise von Inhalten in früheren Versionen der Spezialisierung unterscheiden. Die Verarbeitung von Streamingdaten gewinnt zunehmend an Bedeutung, weil sich mit Streaming Echtzeitmesswerte für Geschäftsvorgänge abrufen lassen. Im Kurs wird behandelt, wie Streamingdaten-Pipelines in der Google Cloud Platform erstellt werden. Zur Verarbeitung eingehender Streamingdaten wird Cloud Pub/Sub verwendet. Außerdem erklären wir, wie Aggregationen und Transformationen mit Cloud Dataflow auf Streamingdaten angewendet werden und wie verarbeitete Datensätze für Analysen in BigQuery oder Cloud Bigtable gespeichert werden. In Qwiklabs erstellen die Kursteilnehmer dann selbst Komponenten einer Streamingdaten-Pipeline in der Google Cloud Platform.
Enroll now

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Specifically teaches skills for streaming data pipelines in Google Cloud Platform
Introduces Google's Cloud Pub/Sub to process incoming streaming data
Demonstrates how to apply data transformations and aggregations with Cloud Dataflow
Trains learners how to store processed data for analysis in BigQuery or Cloud Bigtable
Offers hands-on labs through Qwiklabs to practice building streaming data pipelines

Save this course

Save Building Resilient Streaming Analytics Systems on GCP auf Deutsch to your list so you can find it easily later:
Save

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 Building Resilient Streaming Analytics Systems on GCP auf Deutsch with these activities:
Review Cloud Pub/Sub Concepts
Ensure a solid understanding of Cloud Pub/Sub before diving into streaming data pipelines.
Browse courses on Cloud Pub/Sub
Show steps
  • Review the Cloud Pub/Sub documentation
  • Complete Cloud Pub/Sub quickstarts or tutorials
Read "Designing Data-Intensive Applications"
Gain a deeper understanding of streaming data processing concepts and best practices.
View Secret Colors on Amazon
Show steps
  • Read Chapters 3-5 on streaming data architectures
Compile a Glossary of Streaming Data Terms
Build a deeper understanding of streaming data processing terminology by creating a glossary.
Browse courses on Streaming Data Pipelines
Show steps
  • Identify key terms related to streaming data pipelines
  • Write clear and concise definitions for each term
  • Organize the terms into a coherent glossary
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow Google Cloud Platform Tutorials
Supplement your learning with step-by-step tutorials from Google Cloud Platform.
Browse courses on Streaming Data Pipelines
Show steps
  • Complete the "Building Streaming Data Pipelines with Google Cloud Platform" tutorial
  • Explore other tutorials relevant to streaming data processing
Practice Building Streaming Data Pipelines
Solidify your understanding of streaming data pipelines by working through practice exercises.
Browse courses on Streaming Data Pipelines
Show steps
  • Set up your Google Cloud Platform environment
  • Create a Cloud Pub/Sub topic and subscription
  • Build a Cloud Dataflow pipeline to process streaming data
  • Store the processed data in BigQuery or Cloud Bigtable
Join a Study Group
Enhance your learning and retention by discussing course concepts with peers.
Browse courses on Streaming Data Pipelines
Show steps
  • Find a study group or create your own
  • Meet regularly to discuss course material
  • Collaborate on practice exercises
Attend a Google Cloud Platform Workshop
Gain hands-on experience and learn from experts in the field.
Browse courses on Streaming Data Pipelines
Show steps
  • Find a relevant workshop offered by Google Cloud Platform
  • Attend the workshop and participate actively
  • Apply what you learn to your own projects
Develop a Streaming Data Pipeline Project
Apply your skills to a real-world scenario by building a streaming data pipeline project.
Browse courses on Streaming Data Pipelines
Show steps
  • Identify a business problem that can be solved using streaming data
  • Design your streaming data pipeline
  • Implement your pipeline using Google Cloud Platform
  • Analyze the results and iterate on your design

Career center

Learners who complete Building Resilient Streaming Analytics Systems on GCP auf Deutsch will develop knowledge and skills that may be useful to these careers:
Streaming Data Engineer
Streaming Data Engineers use their knowledge of cloud-based platforms to manage data pipelines. They are responsible for working with data engineers, data scientists, and other professionals to help build, manage, and maintain streaming data pipelines. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Streaming Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines that process and transform data for analysis. They work with data analysts, data scientists, and other professionals to ensure that data is accurate, consistent, and accessible. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Data Engineer
Cloud Architect
Cloud Architects design, build, and manage cloud computing solutions. They work with customers to understand their business needs and translate them into technical solutions. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Cloud Architect
Big Data Engineer
Big Data Engineers design, build, and maintain big data systems. They work with data scientists, data analysts, and other professionals to manage and process large datasets. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Big Data Engineer
Data Analyst
Data Analysts use data to solve business problems. They work with data engineers, data scientists, and other professionals to analyze data and make recommendations. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists use data to build models and make predictions. They work with data analysts, data engineers, and other professionals to develop and implement machine learning solutions. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Data Scientist
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with other engineers, designers, and product managers to create software that meets the needs of users. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Software Engineer
Systems Engineer
Systems Engineers design, build, and maintain computer systems. They work with other engineers, administrators, and users to ensure that systems are reliable, efficient, and secure. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Systems Engineer
DevOps Engineer
DevOps Engineers work with developers and operations teams to ensure that software is deployed and maintained efficiently. They use automation and other tools to improve the software development and delivery process. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for DevOps Engineer
Data Architect
Data Architects design, build, and maintain data architectures. They work with data engineers, data scientists, and other professionals to create data architectures that meet the needs of the business. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Data Architect
Database Administrator
Database Administrators design, build, and maintain databases. They work with other engineers, administrators, and users to ensure that databases are reliable, efficient, and secure. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Database Administrator
Network Engineer
Network Engineers design, build, and maintain computer networks. They work with other engineers, administrators, and users to ensure that networks are reliable, efficient, and secure. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Network Engineer
Security Engineer
Security Engineers design, build, and maintain security systems. They work with other engineers, administrators, and users to ensure that systems are secure from unauthorized access and attack. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Security Engineer
Cloud Security Engineer
Cloud Security Engineers design, build, and maintain security systems for cloud-based applications and data. They work with other engineers, administrators, and users to ensure that cloud-based systems are secure from unauthorized access and attack. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Cloud Security Engineer
Storage Engineer
Storage Engineers design, build, and maintain storage systems. They work with other engineers, administrators, and users to ensure that storage systems are reliable, efficient, and secure. This course can help you build a foundation in streaming data processing using Google Cloud Platform. You will learn how to use Cloud Pub/Sub to process incoming streaming data, and how to apply aggregations and transformations with Cloud Dataflow. You will also learn how to store processed datasets for analysis in BigQuery or Cloud Bigtable.
See salaries and explore the career path for Storage Engineer

Reading list

We've selected three 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 Building Resilient Streaming Analytics Systems on GCP auf Deutsch.
Cover image
Secret Colors
Save
Handbook on designing data-intensive applications for big data systems, and could be quite useful in providing background knowledge on building data systems.
Secret Colors
Paperback
Check
Secret Colors
Kindle Edition
Check
Cover image
Hadoop: The Definitive Guide
Save
Covers big data systems and Hadoop. It useful reference for building big data systems.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
Big Data Analytics with Java
Save
Covers the fundamentals of big data analytics, including data processing, machine learning, and real-time analytics, providing additional context for the course.
Big Data Analytics with Java: Data analysis,...
Paperback
$$$
Big Data Analytics with Java: Data analysis,...
Kindle Edition
$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Building Resilient Streaming Analytics Systems on GCP auf Deutsch.
Smart Analytics, Machine Learning, and AI on GCP auf...
Most relevant
Modernizing Data Lakes and Data Warehouses with GCP auf...
Most relevant
Sprachtechnologie in den Digital Humanities
Most relevant
Gottesvorstellungen in den Weltreligionen
Most relevant
High-Fidelity-Designs und Prototypen in Figma Erstellen
Most relevant
Reliable Cloud Infrastructure: Design and Process auf...
Most relevant
Building Batch Data Pipelines on GCP auf Deutsch
Most relevant
Finanzen für Nicht-Finanzfachleute
Most relevant
Daten bereinigen
Most relevant
Course image
Time
12 hours
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
This course belongs to a collection called Data Engineer, Big Data and ML on Google Cloud auf Deutsch. It's comprised of five courses:
  1. Building Batch Data Pipelines on GCP auf Deutsch
  2. Modernizing Data Lakes and Data Warehouses with GCP auf Deutsch
  3. Building Resilient Streaming Analytics Systems on GCP auf Deutsch (viewing)
  4. Smart Analytics, Machine Learning, and AI on GCP auf Deutsch
  5. Google Cloud Platform Big Data and Machine Learning Fundamentals auf Deutsch
Good to know
Specifically teaches skills for streaming data pipelines in Google Cloud Platform
Introduces Google's Cloud Pub/Sub to process incoming streaming data
Demonstrates how to apply data transformations and aggregations with Cloud Dataflow
Trains learners how to store processed data for analysis in BigQuery or Cloud Bigtable
Offers hands-on labs through Qwiklabs to practice building streaming data pipelines
Share and help others discover this course.
Facebook LinkedIn X Reddit Link Email
Don't miss out
Enroll today to gain access to this course
Enroll in this course
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser