Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform auf Deutsch from Coursera

Dieser einwöchige Intensivkurs baut auf bisherigen Kursen der Spezialisierung Data Engineering on Google Cloud Platform auf. Mit Videovorträgen, Vorführungen und Labs zur praktischen Anwendung lernen Sie, wie Sie Computecluster erstellen und verwalten, um Hadoop-, Spark-, Pig- und/oder Hive-Jobs auf der Google Cloud Platform auszuführen.Außerdem wird erläutert, wie Sie auf verschiedene Cloudspeicherlösungen über deren Computecluster zugreifen und die Google-Funktionen für maschinelles Lernen in deren Analyseprogramme einbinden. In den Labs zur praktischen Anwendung erstellen und verwalten Sie Dataproc-Cluster mit der Webkonsole und der Befehlszeile und führen über die Cluster Spark- und Pig-Jobs aus. Dann erstellen Sie iPython-Notebooks, die in BigQuery und Speicherplatz eingebunden werden können und nutzen Spark. Zuletzt binden Sie die APIs für maschinelles Lernen in die Datenanalyse ein. Voraussetzungen • Google Cloud Platform Big Data & Machine Learning Fundamentals (oder Ähnliches) • Grundkenntnisse in Python

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Follows earlier courses in its specialization, Google Cloud Platform Data Engineering, indicating a comprehensive program of study

Provides practical, hands-on experience through labs using real-world tools such as Dataproc, Spark, Pig, and iPython

In the Labs, you will learn essential skills for big data engineering, such as developing and managing Hadoop, Spark, Pig, and Hive jobs in the cloud

Course instructors are from Google Cloud Training, indicating industry expertise

Teaches in-demand skills for data engineering on the Google Cloud Platform, which is a leading cloud computing platform

Prerequisites include a foundational understanding of Google Cloud Platform Big Data & Machine Learning Fundamentals, which is beneficial for learners new to the field

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Career center

Learners who complete Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform auf Deutsch will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers serve as the custodians of an organization's data infrastructure, ensuring that the data is accessible, reliable, and secure. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform can be a valuable resource for Data Engineers who are seeking to expand their knowledge of Hadoop, Spark, Pig, and Hive and their use on the Google Cloud Platform. The course will be particularly helpful for Data Engineers who are working with large datasets.

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Data Scientist

Data Scientists are responsible for extracting insights from data to improve decision-making and solve business problems. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform can be a valuable resource for Data Scientists who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their data analysis. The course will be particularly helpful for Data Scientists who are working on projects that require the use of Hadoop, Spark, Pig, or Hive.

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Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform can be a valuable resource for Machine Learning Engineers who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course will be particularly helpful for Machine Learning Engineers who are working on projects that require the use of Hadoop, Spark, Pig, or Hive.

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Cloud Engineer

Cloud Engineers are responsible for designing, building, and managing cloud computing systems and infrastructure. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform can be a valuable resource for Cloud Engineers who are seeking to expand their knowledge of how to work with unstructured data in the cloud. The course will be particularly helpful for Cloud Engineers who are working with Hadoop, Spark, Pig, or Hive in the cloud.

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Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to provide insights to organizations. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform can be a valuable resource for Data Analysts who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course will be particularly helpful for Data Analysts who are working on projects that involve the use of Hadoop, Spark, Pig, or Hive.

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Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform can be a valuable resource for Software Engineers who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course will be particularly helpful for Software Engineers who are working on projects that involve the use of Hadoop, Spark, Pig, or Hive.

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Database Administrator

Database Administrators are responsible for maintaining and managing database systems. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform can be a valuable resource for Database Administrators who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course will be particularly helpful for Database Administrators who are working with databases that include unstructured data, such as Hadoop, Spark, Pig, or Hive.

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Data Architect

Data Architects are responsible for designing and managing data systems and architectures. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform can be a valuable resource for Data Architects who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course will be particularly helpful for Data Architects who are working on projects that involve the use of Hadoop, Spark, Pig, or Hive.

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Business Analyst

Business Analysts are responsible for analyzing business processes and data to improve decision-making. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform can be a valuable resource for Business Analysts who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course will be particularly helpful for Business Analysts who are working on projects that involve the use of Hadoop, Spark, Pig, or Hive.

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Sales Engineer

Sales Engineers are responsible for selling and supporting software products. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform may be useful for Sales Engineers who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course may be particularly helpful for Sales Engineers who are working with products that involve the use of Hadoop, Spark, Pig, or Hive.

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Project Manager

Project Managers are responsible for planning, executing, and closing projects. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform may be useful for Project Managers who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course may be particularly helpful for Project Managers who are working on projects that involve the use of Hadoop, Spark, Pig, or Hive.

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Product Manager

Product Managers are responsible for managing the development and launch of new products. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform may be useful for Product Managers who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course may be particularly helpful for Product Managers who are working on products that involve the use of Hadoop, Spark, Pig, or Hive.

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Technical Writer

Technical Writers are responsible for creating and maintaining technical documentation. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform may be useful for Technical Writers who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course may be particularly helpful for Technical Writers who are working on documentation that includes Hadoop, Spark, Pig, or Hive.

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Customer Success Manager

Customer Success Managers are responsible for ensuring that customers are satisfied with their products and services. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform may be useful for Customer Success Managers who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course may be particularly helpful for Customer Success Managers who are working with customers who use Hadoop, Spark, Pig, or Hive.

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Marketing Manager

Marketing Managers are responsible for planning and executing marketing campaigns. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform may be useful for Marketing Managers who are seeking to expand their knowledge of how to work with unstructured data and how to use machine learning in their work. The course may be particularly helpful for Marketing Managers who are working on campaigns that involve the use of Hadoop, Spark, Pig, or Hive.

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