Scaling with Google Cloud Operations
Earned Jul 31, 2024 EDT
Trust and Security with Google Cloud
Earned Jul 30, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned Jul 29, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned Jul 25, 2024 EDT
Exploring Data Transformation with Google Cloud
Earned Jul 23, 2024 EDT
Digital Transformation with Google Cloud
Earned Jul 23, 2024 EDT
Data Warehousing for Partners: Process Data with Dataproc
Earned Jul 19, 2024 EDT
Build Batch Data Pipelines on Google Cloud
Earned Jul 15, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Jul 8, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Jun 28, 2024 EDT
Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task.
Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
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This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.
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In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
Scaling with Google Cloud Operations
Earned Jul 31, 2024 EDT
Trust and Security with Google Cloud
Earned Jul 30, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned Jul 29, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned Jul 25, 2024 EDT
Exploring Data Transformation with Google Cloud
Earned Jul 23, 2024 EDT
Digital Transformation with Google Cloud
Earned Jul 23, 2024 EDT
Data Warehousing for Partners: Process Data with Dataproc
Earned Jul 19, 2024 EDT
Build Batch Data Pipelines on Google Cloud
Earned Jul 15, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Jul 8, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Jun 28, 2024 EDT