Getting Started with Data Cloudのトレーニングコース

Introduction to Data Cloud

• Overview of cloud-based data management
• Core features and advantages of Data Cloud
• Understanding Data Cloud’s role in modern data ecosystems

Setting Up a Data Cloud Environment

• Provisioning resources in a Data Cloud platform
• Configuring storage and data pipelines
• Exploring tools for monitoring and managing data

Data Integration and Management

• Connecting to various data sources (databases, APIs, etc.)
• Data ingestion, transformation, and storage in the cloud
• Implementing workflows for real-time and batch data processing

Data Analysis and Visualization

• Using built-in analytics tools for insights
• Creating visualizations and dashboards
• Generating and sharing reports with stakeholders

Security and Compliance in Data Cloud

• Implementing data security best practices
• Ensuring compliance with regulations (e.g., GDPR, HIPAA)
• Access control and audit logs

Final Project: Building a Data Workflow

• Designing a cloud-based data workflow for a use case
• Integrating, analyzing, and visualizing data
• Presenting results and insights to peers or instructors

Summary and Next Steps