Modernizing Data Lakes and Data Warehouses with Google Cloud is a course that teaches learners how to leverage Google Cloud technologies to modernize their data lakes and data warehouses. The course covers various topics, including data migration, data warehousing, data analytics, and more.
Throughout the course, learners will gain an understanding of how to leverage Google Cloud tools to improve data processing, storage, and analysis. They will learn how to migrate data from traditional data storage systems to the Google Cloud platform and use the data to gain insights and make informed decisions.
The course also covers topics such as data modeling, data integration, data transformation, and data visualization. Learners will gain hands-on experience with Google Cloud tools such as BigQuery, Cloud Storage, Cloud Dataflow, Cloud Dataproc, and more.
By the end of the course, learners will have the skills and knowledge needed to modernize their data lakes and data warehouses using Google Cloud technologies, improve data processing, and gain insights from their data. The course is suitable for data engineers, data architects, data analysts, and anyone who works with data and wants to leverage the power of Google Cloud to modernize their data infrastructure.
Target Audience:
The target audience for "Modernizing Data Lakes and Data Warehouses with Google Cloud" course includes:
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Data Engineers who want to leverage Google Cloud technologies to modernize their data lakes and data warehouses.
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Data Architects who are responsible for designing data storage systems and want to learn how to use Google Cloud tools for data warehousing.
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Data Analysts who want to gain insights from their data using modern data processing and analytics techniques.
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IT professionals who are responsible for managing data infrastructure and want to learn how to leverage Google Cloud tools for modern data processing.
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Business professionals who want to understand the benefits of modern data processing and how it can help them make informed decisions based on data insights.
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Anyone who works with data and wants to learn how to use Google Cloud technologies to improve data processing, storage, and analysis.
Learning Objectives:
The learning objectives for "Modernizing Data Lakes and Data Warehouses with Google Cloud" course are:
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Understand the basics of data lakes, data warehouses, and the challenges associated with traditional data storage systems.
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Learn how to migrate data from traditional data storage systems to the Google Cloud platform.
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Gain an understanding of Google Cloud data storage technologies, including Cloud Storage and BigQuery, and how to use them for data warehousing and data analytics.
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Learn how to build a modern data processing pipeline using Google Cloud tools such as Cloud Dataflow, Cloud Dataproc, and Cloud Composer.
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Gain hands-on experience with data modeling, data integration, data transformation, and data visualization using Google Cloud tools.
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Understand the benefits of modern data processing techniques such as serverless computing, machine learning, and AI for data processing.
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Learn how to improve data accessibility, collaboration, and security using Google Cloud tools.
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Understand best practices for modernizing data lakes and data warehouses with Google Cloud and how to apply them to real-world scenarios.