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Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch

In diesem einwöchigen On-Demand-Intensivkurs wird auf den Kurs "Google Cloud Platform Big Data and Machine Learning Fundamentals" aufgebaut. Anhand von Präsentationen durch den Kursleiter, Demos und praxisorientierten Labs lernen die Teilnehmer, wie sich Data-Warehouse-Prozesse, Analysen und die Pipelineverarbeitung managementfrei ausführen lassen. Voraussetzungen: • Kurs "Google Cloud Platform Big Data and Machine Learning Fundamentals" • Erfahrung im Umgang mit einer SQL-ähnlichen Abfragesprache, um Daten zu analysieren • Kenntnisse in Python oder Java Hinweis zum Google-Konto: In China sind Google-Dienste derzeit nicht verfügbar.

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builds upon the foundation established in the prerequisite course, "Google Cloud Platform Big Data and Machine Learning Fundamentals."

focuses on data warehouse, analytics, and pipeline processing, which are relevant to data science and machine learning

teaches industry-standard skills in data management and analysis

requires strong background knowledge in SQL-based query languages and programming in Python or Java

incorporates hands-on labs and practical exercises for experiential learning

taught by Google Cloud Training, a reputable provider in cloud computing and data management

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Career center

Learners who complete Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software Engineers apply the principles of computer science and software design to the creation of computer software. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch will help you to advance your career as a Software Engineer. This course will introduce you to serverless data warehouse and data analytics, which will help you build robust and efficient software systems.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts play a very important role in gathering, organizing, and interpreting data, which helps organizations make informed decisions. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch can further your career growth as a Data Analyst. In this course, you will learn to analyze and understand data with serverless data warehouse and data analytics.

See salaries and explore the career path for Data Analyst

Data Quality Analyst

A Data Quality Analyst is responsible for ensuring that the data used by an organization is accurate, consistent, and complete. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch can help you to advance your career in Data Quality Analysis as this course will introduce you to the fundamentals of serverless data warehouse and data analytics.

See salaries and explore the career path for Data Quality Analyst

Data Integration Architect

Data Integration Architects design, develop, and implement data integration solutions. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch will give you a good start as a Data Integration Architect as this course will introduce you to the fundamentals of serverless data warehouse and data analytics.

See salaries and explore the career path for Data Integration Architect

Machine Learning Engineer

Machine Learning Engineers are responsible for taking machine learning models from development to production. Specifically, they build, deploy and maintain machine learning models. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch will give you a good start as a Machine Learning Engineer. In this course, you will learn statistical modeling, machine learning algorithms, and big data technologies for building intelligent solutions.

See salaries and explore the career path for Machine Learning Engineer

Database Administrator

Database Administrators keep computer databases running smoothly and efficiently. Specifically, they install, configure, and maintain database management systems. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch fits into the field of Database Administration. As you take this course, you will learn about managing serverless data warehouse and data analytics, which can contribute to your success in the field of Database Administration.

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Data Management Architect

Data Management Architects plan, design, and implement data management solutions. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch will provide you with a foundation in data management. This course introduces you to serverless data warehouse and data analytics.

See salaries and explore the career path for Data Management Architect

IT Business Analyst

IT Business Analysts typically gather, analyze, and document requirements for business processes and IT systems. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch will help you to advance your career in IT Business Analysis as this course will introduce you to the fundamentals of serverless data warehouse and data analytics.

See salaries and explore the career path for IT Business Analyst

Information Technology (IT) Director

IT Directors plan and direct computer-related activities in an organization to meet the business goals. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch will help you to advance your career in IT Direction as it can help enhance your understanding of serverless data warehouse and data analytics.

See salaries and explore the career path for Information Technology (IT) Director

Data Engineer

Data Engineers are responsible for the creation of new data pipelines. More specifically, they design, build, manage, and maintain big data pipelines and process massive amounts of data. The course Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch will help you be a good fit for the role. This hands-on course will help you build a solid foundation for serverless data warehouse and data analytics.

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Data Architect

Data Architects perform a range of duties. For instance, they create a company-wide data strategy and align it with the organization's business objectives. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch will greatly help you become a Data Architect. This course will give you an overview of serverless data warehouse and data analytics, so you can confidently manage data architecture.

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Data Scientist

Data Scientists gather and analyze data to extract meaningful insights. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch may be useful to you since this course will teach you about data analysis and data management.

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Enterprise Architect

An Enterprise Architect typically works with other architects and business executives to design, integrate, and evaluate solutions for the business processes and information systems. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch may be useful as this course will help you build a foundation in serverless data warehouse and data analytics.

See salaries and explore the career path for Enterprise Architect

Business Analyst

A Business Analyst may work with stakeholders to define and document business requirements. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch may help you in the field of Business Analysis. As you take this course, you will learn about data analysis and data management, which can contribute to your understanding of this field.

See salaries and explore the career path for Business Analyst

Data Governance Analyst

Data Governance Analysts play an important role as they are responsible for developing and implementing a company's data governance strategy. Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch may be useful as this course will help you build a foundation in data governance.

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Google Cloud

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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:

Building Resilient Streaming Systems on Google Cloud Platform auf Deutsch
Serverless Data Analysis with Google BigQuery and Cloud Dataflow auf Deutsch (viewing)
Serverless Machine Learning with Tensorflow on Google Cloud auf Deutsch
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform auf Deutsch
Google Cloud Platform Big Data and Machine Learning Fundamentals auf Deutsch

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builds upon the foundation established in the prerequisite course, "Google Cloud Platform Big Data and Machine Learning Fundamentals."

focuses on data warehouse, analytics, and pipeline processing, which are relevant to data science and machine learning

teaches industry-standard skills in data management and analysis

requires strong background knowledge in SQL-based query languages and programming in Python or Java

incorporates hands-on labs and practical exercises for experiential learning

taught by Google Cloud Training, a reputable provider in cloud computing and data management

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